Upload folder using huggingface_hub
Browse files- checkpoint-250/README.md +202 -0
- checkpoint-250/adapter_config.json +37 -0
- checkpoint-250/adapter_model.safetensors +3 -0
- checkpoint-250/optimizer.pt +3 -0
- checkpoint-250/rng_state.pth +3 -0
- checkpoint-250/scheduler.pt +3 -0
- checkpoint-250/trainer_state.json +1783 -0
- checkpoint-250/training_args.bin +3 -0
- checkpoint-300/README.md +202 -0
- checkpoint-300/adapter_config.json +37 -0
- checkpoint-300/adapter_model.safetensors +3 -0
- checkpoint-300/optimizer.pt +3 -0
- checkpoint-300/rng_state.pth +3 -0
- checkpoint-300/scheduler.pt +3 -0
- checkpoint-300/trainer_state.json +2133 -0
- checkpoint-300/training_args.bin +3 -0
checkpoint-250/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: rinna/llama-3-youko-8b
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
checkpoint-250/adapter_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "rinna/llama-3-youko-8b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": [
|
| 18 |
+
"embed_tokens",
|
| 19 |
+
"lm_head"
|
| 20 |
+
],
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 128,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": "unsloth",
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"o_proj",
|
| 27 |
+
"k_proj",
|
| 28 |
+
"v_proj",
|
| 29 |
+
"gate_proj",
|
| 30 |
+
"down_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"up_proj"
|
| 33 |
+
],
|
| 34 |
+
"task_type": "CAUSAL_LM",
|
| 35 |
+
"use_dora": false,
|
| 36 |
+
"use_rslora": true
|
| 37 |
+
}
|
checkpoint-250/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a8da9ecaf8558636b614d0d70ac6e1b9d2a3e34d2f1997b5f3953c080d86b972
|
| 3 |
+
size 11849545016
|
checkpoint-250/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f3b40ce86bd8b69877221a9c4a5ff8105f89c6e28746fca5d4fd712e48acec3d
|
| 3 |
+
size 2778493596
|
checkpoint-250/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af34d41a387513fe16d2f526704002f5f5013be898bf20077d67118a76362740
|
| 3 |
+
size 14244
|
checkpoint-250/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8fc1b4a49d6db60fec82b068ff13ca1a456965c8642c133e13643d20e3e45701
|
| 3 |
+
size 1064
|
checkpoint-250/trainer_state.json
ADDED
|
@@ -0,0 +1,1783 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.5032206119162641,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 250,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.002012882447665056,
|
| 13 |
+
"grad_norm": 22.921390533447266,
|
| 14 |
+
"learning_rate": 6.5e-06,
|
| 15 |
+
"loss": 1.3427,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.004025764895330112,
|
| 20 |
+
"grad_norm": 14.772722244262695,
|
| 21 |
+
"learning_rate": 1.3e-05,
|
| 22 |
+
"loss": 1.3647,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.006038647342995169,
|
| 27 |
+
"grad_norm": 11.458742141723633,
|
| 28 |
+
"learning_rate": 1.9499999999999996e-05,
|
| 29 |
+
"loss": 1.2841,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.008051529790660225,
|
| 34 |
+
"grad_norm": 4.747677326202393,
|
| 35 |
+
"learning_rate": 2.6e-05,
|
| 36 |
+
"loss": 1.1644,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.010064412238325281,
|
| 41 |
+
"grad_norm": 3.687121629714966,
|
| 42 |
+
"learning_rate": 3.25e-05,
|
| 43 |
+
"loss": 1.1084,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.012077294685990338,
|
| 48 |
+
"grad_norm": 3.178232431411743,
|
| 49 |
+
"learning_rate": 3.899999999999999e-05,
|
| 50 |
+
"loss": 1.0753,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.014090177133655395,
|
| 55 |
+
"grad_norm": 2.476033926010132,
|
| 56 |
+
"learning_rate": 4.5499999999999995e-05,
|
| 57 |
+
"loss": 1.075,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.01610305958132045,
|
| 62 |
+
"grad_norm": 1.9162139892578125,
|
| 63 |
+
"learning_rate": 5.2e-05,
|
| 64 |
+
"loss": 1.0195,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.018115942028985508,
|
| 69 |
+
"grad_norm": 1.797377109527588,
|
| 70 |
+
"learning_rate": 5.85e-05,
|
| 71 |
+
"loss": 0.9884,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.020128824476650563,
|
| 76 |
+
"grad_norm": 1.816100835800171,
|
| 77 |
+
"learning_rate": 6.5e-05,
|
| 78 |
+
"loss": 0.9945,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.02214170692431562,
|
| 83 |
+
"grad_norm": 1.843664526939392,
|
| 84 |
+
"learning_rate": 6.499932098548219e-05,
|
| 85 |
+
"loss": 0.8802,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.024154589371980676,
|
| 90 |
+
"grad_norm": 1.7202250957489014,
|
| 91 |
+
"learning_rate": 6.49972839703017e-05,
|
| 92 |
+
"loss": 0.9833,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.026167471819645734,
|
| 97 |
+
"grad_norm": 1.4981484413146973,
|
| 98 |
+
"learning_rate": 6.499388903957628e-05,
|
| 99 |
+
"loss": 0.9481,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.02818035426731079,
|
| 104 |
+
"grad_norm": 1.4716213941574097,
|
| 105 |
+
"learning_rate": 6.498913633516483e-05,
|
| 106 |
+
"loss": 0.8809,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.030193236714975844,
|
| 111 |
+
"grad_norm": 1.3817026615142822,
|
| 112 |
+
"learning_rate": 6.498302605566152e-05,
|
| 113 |
+
"loss": 0.9264,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.0322061191626409,
|
| 118 |
+
"grad_norm": 1.509097695350647,
|
| 119 |
+
"learning_rate": 6.497555845638748e-05,
|
| 120 |
+
"loss": 0.8829,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.03421900161030596,
|
| 125 |
+
"grad_norm": 1.5498337745666504,
|
| 126 |
+
"learning_rate": 6.496673384938014e-05,
|
| 127 |
+
"loss": 0.9227,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.036231884057971016,
|
| 132 |
+
"grad_norm": 1.527828574180603,
|
| 133 |
+
"learning_rate": 6.49565526033802e-05,
|
| 134 |
+
"loss": 0.9488,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.038244766505636074,
|
| 139 |
+
"grad_norm": 1.4578592777252197,
|
| 140 |
+
"learning_rate": 6.494501514381621e-05,
|
| 141 |
+
"loss": 0.8845,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.040257648953301126,
|
| 146 |
+
"grad_norm": 1.4198046922683716,
|
| 147 |
+
"learning_rate": 6.493212195278678e-05,
|
| 148 |
+
"loss": 0.8809,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.042270531400966184,
|
| 153 |
+
"grad_norm": 1.4455400705337524,
|
| 154 |
+
"learning_rate": 6.491787356904047e-05,
|
| 155 |
+
"loss": 0.8686,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.04428341384863124,
|
| 160 |
+
"grad_norm": 1.5711616277694702,
|
| 161 |
+
"learning_rate": 6.490227058795323e-05,
|
| 162 |
+
"loss": 0.96,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.046296296296296294,
|
| 167 |
+
"grad_norm": 1.4603729248046875,
|
| 168 |
+
"learning_rate": 6.488531366150359e-05,
|
| 169 |
+
"loss": 0.9026,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.04830917874396135,
|
| 174 |
+
"grad_norm": 1.4184608459472656,
|
| 175 |
+
"learning_rate": 6.48670034982453e-05,
|
| 176 |
+
"loss": 0.9426,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.05032206119162641,
|
| 181 |
+
"grad_norm": 1.4080291986465454,
|
| 182 |
+
"learning_rate": 6.484734086327788e-05,
|
| 183 |
+
"loss": 0.8857,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.05233494363929147,
|
| 188 |
+
"grad_norm": 1.4739091396331787,
|
| 189 |
+
"learning_rate": 6.482632657821454e-05,
|
| 190 |
+
"loss": 0.8897,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.05434782608695652,
|
| 195 |
+
"grad_norm": 1.320746898651123,
|
| 196 |
+
"learning_rate": 6.480396152114787e-05,
|
| 197 |
+
"loss": 0.8512,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.05636070853462158,
|
| 202 |
+
"grad_norm": 1.4142905473709106,
|
| 203 |
+
"learning_rate": 6.478024662661315e-05,
|
| 204 |
+
"loss": 0.9459,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.05837359098228664,
|
| 209 |
+
"grad_norm": 1.3830432891845703,
|
| 210 |
+
"learning_rate": 6.47551828855493e-05,
|
| 211 |
+
"loss": 0.8605,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.06038647342995169,
|
| 216 |
+
"grad_norm": 1.3653528690338135,
|
| 217 |
+
"learning_rate": 6.472877134525753e-05,
|
| 218 |
+
"loss": 0.8446,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.06239935587761675,
|
| 223 |
+
"grad_norm": 1.3041807413101196,
|
| 224 |
+
"learning_rate": 6.470101310935746e-05,
|
| 225 |
+
"loss": 0.8407,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.0644122383252818,
|
| 230 |
+
"grad_norm": 1.3803820610046387,
|
| 231 |
+
"learning_rate": 6.467190933774112e-05,
|
| 232 |
+
"loss": 0.8505,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.06642512077294686,
|
| 237 |
+
"grad_norm": 1.3407087326049805,
|
| 238 |
+
"learning_rate": 6.464146124652441e-05,
|
| 239 |
+
"loss": 0.794,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.06843800322061191,
|
| 244 |
+
"grad_norm": 1.4283268451690674,
|
| 245 |
+
"learning_rate": 6.460967010799629e-05,
|
| 246 |
+
"loss": 0.9139,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.07045088566827697,
|
| 251 |
+
"grad_norm": 1.3512784242630005,
|
| 252 |
+
"learning_rate": 6.457653725056568e-05,
|
| 253 |
+
"loss": 0.807,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.07246376811594203,
|
| 258 |
+
"grad_norm": 1.3088512420654297,
|
| 259 |
+
"learning_rate": 6.454206405870587e-05,
|
| 260 |
+
"loss": 0.8968,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.07447665056360708,
|
| 265 |
+
"grad_norm": 1.2908034324645996,
|
| 266 |
+
"learning_rate": 6.450625197289675e-05,
|
| 267 |
+
"loss": 0.8447,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.07648953301127215,
|
| 272 |
+
"grad_norm": 1.3444992303848267,
|
| 273 |
+
"learning_rate": 6.446910248956453e-05,
|
| 274 |
+
"loss": 0.8891,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.0785024154589372,
|
| 279 |
+
"grad_norm": 1.2567275762557983,
|
| 280 |
+
"learning_rate": 6.443061716101926e-05,
|
| 281 |
+
"loss": 0.8134,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.08051529790660225,
|
| 286 |
+
"grad_norm": 1.3401930332183838,
|
| 287 |
+
"learning_rate": 6.439079759539e-05,
|
| 288 |
+
"loss": 0.8751,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.08252818035426732,
|
| 293 |
+
"grad_norm": 1.3348793983459473,
|
| 294 |
+
"learning_rate": 6.434964545655754e-05,
|
| 295 |
+
"loss": 0.7942,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.08454106280193237,
|
| 300 |
+
"grad_norm": 1.311357021331787,
|
| 301 |
+
"learning_rate": 6.430716246408493e-05,
|
| 302 |
+
"loss": 0.8461,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.08655394524959742,
|
| 307 |
+
"grad_norm": 1.3319345712661743,
|
| 308 |
+
"learning_rate": 6.426335039314566e-05,
|
| 309 |
+
"loss": 0.8821,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.08856682769726248,
|
| 314 |
+
"grad_norm": 1.304795742034912,
|
| 315 |
+
"learning_rate": 6.421821107444936e-05,
|
| 316 |
+
"loss": 0.8655,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.09057971014492754,
|
| 321 |
+
"grad_norm": 1.422869086265564,
|
| 322 |
+
"learning_rate": 6.417174639416547e-05,
|
| 323 |
+
"loss": 0.9261,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.09259259259259259,
|
| 328 |
+
"grad_norm": 1.2931973934173584,
|
| 329 |
+
"learning_rate": 6.412395829384427e-05,
|
| 330 |
+
"loss": 0.8157,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.09460547504025765,
|
| 335 |
+
"grad_norm": 1.2984646558761597,
|
| 336 |
+
"learning_rate": 6.407484877033586e-05,
|
| 337 |
+
"loss": 0.7919,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.0966183574879227,
|
| 342 |
+
"grad_norm": 1.2596486806869507,
|
| 343 |
+
"learning_rate": 6.402441987570665e-05,
|
| 344 |
+
"loss": 0.7682,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.09863123993558776,
|
| 349 |
+
"grad_norm": 1.3544796705245972,
|
| 350 |
+
"learning_rate": 6.397267371715368e-05,
|
| 351 |
+
"loss": 0.9084,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.10064412238325282,
|
| 356 |
+
"grad_norm": 1.2623202800750732,
|
| 357 |
+
"learning_rate": 6.391961245691652e-05,
|
| 358 |
+
"loss": 0.8482,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.10265700483091787,
|
| 363 |
+
"grad_norm": 1.320026159286499,
|
| 364 |
+
"learning_rate": 6.386523831218689e-05,
|
| 365 |
+
"loss": 0.8436,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.10466988727858294,
|
| 370 |
+
"grad_norm": 1.4064967632293701,
|
| 371 |
+
"learning_rate": 6.38095535550161e-05,
|
| 372 |
+
"loss": 0.8962,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.10668276972624799,
|
| 377 |
+
"grad_norm": 1.3178116083145142,
|
| 378 |
+
"learning_rate": 6.375256051222009e-05,
|
| 379 |
+
"loss": 0.8064,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.10869565217391304,
|
| 384 |
+
"grad_norm": 1.2729371786117554,
|
| 385 |
+
"learning_rate": 6.369426156528213e-05,
|
| 386 |
+
"loss": 0.8338,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.1107085346215781,
|
| 391 |
+
"grad_norm": 1.2167425155639648,
|
| 392 |
+
"learning_rate": 6.363465915025339e-05,
|
| 393 |
+
"loss": 0.8078,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.11272141706924316,
|
| 398 |
+
"grad_norm": 1.3006845712661743,
|
| 399 |
+
"learning_rate": 6.357375575765108e-05,
|
| 400 |
+
"loss": 0.8462,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.11473429951690821,
|
| 405 |
+
"grad_norm": 1.245822787284851,
|
| 406 |
+
"learning_rate": 6.351155393235449e-05,
|
| 407 |
+
"loss": 0.8394,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.11674718196457327,
|
| 412 |
+
"grad_norm": 1.2608625888824463,
|
| 413 |
+
"learning_rate": 6.34480562734985e-05,
|
| 414 |
+
"loss": 0.8606,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.11876006441223833,
|
| 419 |
+
"grad_norm": 1.2614774703979492,
|
| 420 |
+
"learning_rate": 6.33832654343651e-05,
|
| 421 |
+
"loss": 0.7633,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.12077294685990338,
|
| 426 |
+
"grad_norm": 1.3382893800735474,
|
| 427 |
+
"learning_rate": 6.331718412227247e-05,
|
| 428 |
+
"loss": 0.8514,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.12278582930756844,
|
| 433 |
+
"grad_norm": 1.2239303588867188,
|
| 434 |
+
"learning_rate": 6.324981509846189e-05,
|
| 435 |
+
"loss": 0.8319,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.1247987117552335,
|
| 440 |
+
"grad_norm": 1.3828685283660889,
|
| 441 |
+
"learning_rate": 6.318116117798225e-05,
|
| 442 |
+
"loss": 0.8683,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.12681159420289856,
|
| 447 |
+
"grad_norm": 1.304027795791626,
|
| 448 |
+
"learning_rate": 6.311122522957255e-05,
|
| 449 |
+
"loss": 0.887,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.1288244766505636,
|
| 454 |
+
"grad_norm": 1.3097902536392212,
|
| 455 |
+
"learning_rate": 6.304001017554202e-05,
|
| 456 |
+
"loss": 0.8636,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.13083735909822866,
|
| 461 |
+
"grad_norm": 1.281269907951355,
|
| 462 |
+
"learning_rate": 6.296751899164788e-05,
|
| 463 |
+
"loss": 0.7537,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.13285024154589373,
|
| 468 |
+
"grad_norm": 1.2349010705947876,
|
| 469 |
+
"learning_rate": 6.289375470697116e-05,
|
| 470 |
+
"loss": 0.8451,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.13486312399355876,
|
| 475 |
+
"grad_norm": 1.2939257621765137,
|
| 476 |
+
"learning_rate": 6.281872040379001e-05,
|
| 477 |
+
"loss": 0.8249,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.13687600644122383,
|
| 482 |
+
"grad_norm": 1.308341145515442,
|
| 483 |
+
"learning_rate": 6.274241921745097e-05,
|
| 484 |
+
"loss": 0.8764,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.1388888888888889,
|
| 489 |
+
"grad_norm": 1.311805009841919,
|
| 490 |
+
"learning_rate": 6.266485433623794e-05,
|
| 491 |
+
"loss": 0.8308,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.14090177133655393,
|
| 496 |
+
"grad_norm": 1.6127303838729858,
|
| 497 |
+
"learning_rate": 6.258602900123894e-05,
|
| 498 |
+
"loss": 0.8069,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.142914653784219,
|
| 503 |
+
"grad_norm": 1.292090654373169,
|
| 504 |
+
"learning_rate": 6.250594650621067e-05,
|
| 505 |
+
"loss": 0.8174,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.14492753623188406,
|
| 510 |
+
"grad_norm": 1.256778359413147,
|
| 511 |
+
"learning_rate": 6.2424610197441e-05,
|
| 512 |
+
"loss": 0.7956,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.1469404186795491,
|
| 517 |
+
"grad_norm": 1.2579149007797241,
|
| 518 |
+
"learning_rate": 6.23420234736089e-05,
|
| 519 |
+
"loss": 0.8267,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.14895330112721417,
|
| 524 |
+
"grad_norm": 1.3226171731948853,
|
| 525 |
+
"learning_rate": 6.225818978564269e-05,
|
| 526 |
+
"loss": 0.9322,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.15096618357487923,
|
| 531 |
+
"grad_norm": 1.1891167163848877,
|
| 532 |
+
"learning_rate": 6.217311263657565e-05,
|
| 533 |
+
"loss": 0.7886,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.1529790660225443,
|
| 538 |
+
"grad_norm": 1.2481876611709595,
|
| 539 |
+
"learning_rate": 6.208679558139977e-05,
|
| 540 |
+
"loss": 0.7832,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.15499194847020933,
|
| 545 |
+
"grad_norm": 1.2592449188232422,
|
| 546 |
+
"learning_rate": 6.199924222691707e-05,
|
| 547 |
+
"loss": 0.8061,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.1570048309178744,
|
| 552 |
+
"grad_norm": 1.250359058380127,
|
| 553 |
+
"learning_rate": 6.191045623158907e-05,
|
| 554 |
+
"loss": 0.7942,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.15901771336553946,
|
| 559 |
+
"grad_norm": 1.2406524419784546,
|
| 560 |
+
"learning_rate": 6.182044130538373e-05,
|
| 561 |
+
"loss": 0.7766,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.1610305958132045,
|
| 566 |
+
"grad_norm": 1.2620049715042114,
|
| 567 |
+
"learning_rate": 6.172920120962052e-05,
|
| 568 |
+
"loss": 0.8445,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.16304347826086957,
|
| 573 |
+
"grad_norm": 1.2618622779846191,
|
| 574 |
+
"learning_rate": 6.16367397568133e-05,
|
| 575 |
+
"loss": 0.812,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.16505636070853463,
|
| 580 |
+
"grad_norm": 1.2560168504714966,
|
| 581 |
+
"learning_rate": 6.15430608105109e-05,
|
| 582 |
+
"loss": 0.8331,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.16706924315619967,
|
| 587 |
+
"grad_norm": 1.2386751174926758,
|
| 588 |
+
"learning_rate": 6.144816828513576e-05,
|
| 589 |
+
"loss": 0.7318,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.16908212560386474,
|
| 594 |
+
"grad_norm": 1.3558485507965088,
|
| 595 |
+
"learning_rate": 6.135206614582031e-05,
|
| 596 |
+
"loss": 0.8476,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.1710950080515298,
|
| 601 |
+
"grad_norm": 1.2461968660354614,
|
| 602 |
+
"learning_rate": 6.125475840824137e-05,
|
| 603 |
+
"loss": 0.8012,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.17310789049919484,
|
| 608 |
+
"grad_norm": 1.2398920059204102,
|
| 609 |
+
"learning_rate": 6.115624913845225e-05,
|
| 610 |
+
"loss": 0.8033,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.1751207729468599,
|
| 615 |
+
"grad_norm": 1.3263791799545288,
|
| 616 |
+
"learning_rate": 6.105654245271292e-05,
|
| 617 |
+
"loss": 0.8511,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.17713365539452497,
|
| 622 |
+
"grad_norm": 1.2072999477386475,
|
| 623 |
+
"learning_rate": 6.095564251731795e-05,
|
| 624 |
+
"loss": 0.7478,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.17914653784219,
|
| 629 |
+
"grad_norm": 1.287801742553711,
|
| 630 |
+
"learning_rate": 6.085355354842249e-05,
|
| 631 |
+
"loss": 0.8152,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.18115942028985507,
|
| 636 |
+
"grad_norm": 1.2826151847839355,
|
| 637 |
+
"learning_rate": 6.0750279811866046e-05,
|
| 638 |
+
"loss": 0.7918,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.18317230273752014,
|
| 643 |
+
"grad_norm": 1.276780605316162,
|
| 644 |
+
"learning_rate": 6.0645825622994254e-05,
|
| 645 |
+
"loss": 0.8774,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.18518518518518517,
|
| 650 |
+
"grad_norm": 1.2205020189285278,
|
| 651 |
+
"learning_rate": 6.0540195346478515e-05,
|
| 652 |
+
"loss": 0.8398,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.18719806763285024,
|
| 657 |
+
"grad_norm": 1.2247477769851685,
|
| 658 |
+
"learning_rate": 6.043339339613371e-05,
|
| 659 |
+
"loss": 0.8322,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.1892109500805153,
|
| 664 |
+
"grad_norm": 1.3282443284988403,
|
| 665 |
+
"learning_rate": 6.0325424234733656e-05,
|
| 666 |
+
"loss": 0.8003,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.19122383252818034,
|
| 671 |
+
"grad_norm": 1.3472024202346802,
|
| 672 |
+
"learning_rate": 6.0216292373824696e-05,
|
| 673 |
+
"loss": 0.8305,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.1932367149758454,
|
| 678 |
+
"grad_norm": 1.2812607288360596,
|
| 679 |
+
"learning_rate": 6.010600237353716e-05,
|
| 680 |
+
"loss": 0.7657,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.19524959742351047,
|
| 685 |
+
"grad_norm": 1.2958053350448608,
|
| 686 |
+
"learning_rate": 5.999455884239483e-05,
|
| 687 |
+
"loss": 0.869,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.1972624798711755,
|
| 692 |
+
"grad_norm": 1.2021034955978394,
|
| 693 |
+
"learning_rate": 5.988196643712235e-05,
|
| 694 |
+
"loss": 0.7798,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.19927536231884058,
|
| 699 |
+
"grad_norm": 1.2430065870285034,
|
| 700 |
+
"learning_rate": 5.976822986245067e-05,
|
| 701 |
+
"loss": 0.7496,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.20128824476650564,
|
| 706 |
+
"grad_norm": 1.2749730348587036,
|
| 707 |
+
"learning_rate": 5.9653353870920434e-05,
|
| 708 |
+
"loss": 0.831,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.20330112721417068,
|
| 713 |
+
"grad_norm": 1.2621365785598755,
|
| 714 |
+
"learning_rate": 5.953734326268337e-05,
|
| 715 |
+
"loss": 0.8051,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.20531400966183574,
|
| 720 |
+
"grad_norm": 1.1950538158416748,
|
| 721 |
+
"learning_rate": 5.94202028853018e-05,
|
| 722 |
+
"loss": 0.7866,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.2073268921095008,
|
| 727 |
+
"grad_norm": 1.3278518915176392,
|
| 728 |
+
"learning_rate": 5.930193763354597e-05,
|
| 729 |
+
"loss": 0.8374,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.20933977455716588,
|
| 734 |
+
"grad_norm": 1.281888484954834,
|
| 735 |
+
"learning_rate": 5.91825524491896e-05,
|
| 736 |
+
"loss": 0.8255,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.2113526570048309,
|
| 741 |
+
"grad_norm": 1.270607352256775,
|
| 742 |
+
"learning_rate": 5.906205232080336e-05,
|
| 743 |
+
"loss": 0.7782,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.21336553945249598,
|
| 748 |
+
"grad_norm": 1.2177718877792358,
|
| 749 |
+
"learning_rate": 5.894044228354644e-05,
|
| 750 |
+
"loss": 0.7506,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.21537842190016104,
|
| 755 |
+
"grad_norm": 1.247755765914917,
|
| 756 |
+
"learning_rate": 5.88177274189561e-05,
|
| 757 |
+
"loss": 0.8135,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.21739130434782608,
|
| 762 |
+
"grad_norm": 1.2848960161209106,
|
| 763 |
+
"learning_rate": 5.869391285473541e-05,
|
| 764 |
+
"loss": 0.8259,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.21940418679549115,
|
| 769 |
+
"grad_norm": 1.197343349456787,
|
| 770 |
+
"learning_rate": 5.856900376453892e-05,
|
| 771 |
+
"loss": 0.7872,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.2214170692431562,
|
| 776 |
+
"grad_norm": 1.2160040140151978,
|
| 777 |
+
"learning_rate": 5.844300536775651e-05,
|
| 778 |
+
"loss": 0.7725,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.22342995169082125,
|
| 783 |
+
"grad_norm": 1.2862228155136108,
|
| 784 |
+
"learning_rate": 5.831592292929532e-05,
|
| 785 |
+
"loss": 0.7808,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.22544283413848631,
|
| 790 |
+
"grad_norm": 1.2369639873504639,
|
| 791 |
+
"learning_rate": 5.818776175935967e-05,
|
| 792 |
+
"loss": 0.7898,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.22745571658615138,
|
| 797 |
+
"grad_norm": 1.2040680646896362,
|
| 798 |
+
"learning_rate": 5.805852721322927e-05,
|
| 799 |
+
"loss": 0.8068,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.22946859903381642,
|
| 804 |
+
"grad_norm": 1.28532075881958,
|
| 805 |
+
"learning_rate": 5.792822469103539e-05,
|
| 806 |
+
"loss": 0.8117,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.23148148148148148,
|
| 811 |
+
"grad_norm": 1.2590646743774414,
|
| 812 |
+
"learning_rate": 5.7796859637535194e-05,
|
| 813 |
+
"loss": 0.7806,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.23349436392914655,
|
| 818 |
+
"grad_norm": 1.223161220550537,
|
| 819 |
+
"learning_rate": 5.76644375418843e-05,
|
| 820 |
+
"loss": 0.7477,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.23550724637681159,
|
| 825 |
+
"grad_norm": 1.2891532182693481,
|
| 826 |
+
"learning_rate": 5.753096393740734e-05,
|
| 827 |
+
"loss": 0.8055,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.23752012882447665,
|
| 832 |
+
"grad_norm": 1.352499008178711,
|
| 833 |
+
"learning_rate": 5.739644440136678e-05,
|
| 834 |
+
"loss": 0.8192,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.23953301127214172,
|
| 839 |
+
"grad_norm": 1.2987629175186157,
|
| 840 |
+
"learning_rate": 5.726088455472989e-05,
|
| 841 |
+
"loss": 0.8279,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.24154589371980675,
|
| 846 |
+
"grad_norm": 1.2705352306365967,
|
| 847 |
+
"learning_rate": 5.7124290061933827e-05,
|
| 848 |
+
"loss": 0.826,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.24355877616747182,
|
| 853 |
+
"grad_norm": 1.3219701051712036,
|
| 854 |
+
"learning_rate": 5.698666663064896e-05,
|
| 855 |
+
"loss": 0.8321,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.24557165861513688,
|
| 860 |
+
"grad_norm": 1.3087178468704224,
|
| 861 |
+
"learning_rate": 5.6848020011540414e-05,
|
| 862 |
+
"loss": 0.8629,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.24758454106280192,
|
| 867 |
+
"grad_norm": 1.2457053661346436,
|
| 868 |
+
"learning_rate": 5.670835599802768e-05,
|
| 869 |
+
"loss": 0.8092,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.249597423510467,
|
| 874 |
+
"grad_norm": 1.2432583570480347,
|
| 875 |
+
"learning_rate": 5.656768042604265e-05,
|
| 876 |
+
"loss": 0.7889,
|
| 877 |
+
"step": 124
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.25161030595813205,
|
| 881 |
+
"grad_norm": 1.3183501958847046,
|
| 882 |
+
"learning_rate": 5.6425999173785643e-05,
|
| 883 |
+
"loss": 0.8554,
|
| 884 |
+
"step": 125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.2536231884057971,
|
| 888 |
+
"grad_norm": 1.2189457416534424,
|
| 889 |
+
"learning_rate": 5.628331816147989e-05,
|
| 890 |
+
"loss": 0.7932,
|
| 891 |
+
"step": 126
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.2556360708534622,
|
| 895 |
+
"grad_norm": 1.143637776374817,
|
| 896 |
+
"learning_rate": 5.6139643351124076e-05,
|
| 897 |
+
"loss": 0.7668,
|
| 898 |
+
"step": 127
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.2576489533011272,
|
| 902 |
+
"grad_norm": 1.1862376928329468,
|
| 903 |
+
"learning_rate": 5.5994980746243264e-05,
|
| 904 |
+
"loss": 0.8165,
|
| 905 |
+
"step": 128
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.25966183574879226,
|
| 909 |
+
"grad_norm": 1.1560195684432983,
|
| 910 |
+
"learning_rate": 5.5849336391637995e-05,
|
| 911 |
+
"loss": 0.8122,
|
| 912 |
+
"step": 129
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.2616747181964573,
|
| 916 |
+
"grad_norm": 1.2094959020614624,
|
| 917 |
+
"learning_rate": 5.5702716373131716e-05,
|
| 918 |
+
"loss": 0.7955,
|
| 919 |
+
"step": 130
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.2636876006441224,
|
| 923 |
+
"grad_norm": 1.2558305263519287,
|
| 924 |
+
"learning_rate": 5.5555126817316515e-05,
|
| 925 |
+
"loss": 0.8399,
|
| 926 |
+
"step": 131
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.26570048309178745,
|
| 930 |
+
"grad_norm": 1.297591209411621,
|
| 931 |
+
"learning_rate": 5.540657389129707e-05,
|
| 932 |
+
"loss": 0.8398,
|
| 933 |
+
"step": 132
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.2677133655394525,
|
| 937 |
+
"grad_norm": 1.3282864093780518,
|
| 938 |
+
"learning_rate": 5.525706380243297e-05,
|
| 939 |
+
"loss": 0.8156,
|
| 940 |
+
"step": 133
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.26972624798711753,
|
| 944 |
+
"grad_norm": 1.3417863845825195,
|
| 945 |
+
"learning_rate": 5.510660279807935e-05,
|
| 946 |
+
"loss": 0.8105,
|
| 947 |
+
"step": 134
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.2717391304347826,
|
| 951 |
+
"grad_norm": 1.2470736503601074,
|
| 952 |
+
"learning_rate": 5.495519716532585e-05,
|
| 953 |
+
"loss": 0.7849,
|
| 954 |
+
"step": 135
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.27375201288244766,
|
| 958 |
+
"grad_norm": 1.2911748886108398,
|
| 959 |
+
"learning_rate": 5.480285323073384e-05,
|
| 960 |
+
"loss": 0.836,
|
| 961 |
+
"step": 136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.2757648953301127,
|
| 965 |
+
"grad_norm": 1.2390037775039673,
|
| 966 |
+
"learning_rate": 5.464957736007215e-05,
|
| 967 |
+
"loss": 0.7556,
|
| 968 |
+
"step": 137
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.2777777777777778,
|
| 972 |
+
"grad_norm": 1.2093883752822876,
|
| 973 |
+
"learning_rate": 5.449537595805101e-05,
|
| 974 |
+
"loss": 0.8173,
|
| 975 |
+
"step": 138
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.27979066022544286,
|
| 979 |
+
"grad_norm": 1.2018241882324219,
|
| 980 |
+
"learning_rate": 5.434025546805447e-05,
|
| 981 |
+
"loss": 0.7983,
|
| 982 |
+
"step": 139
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.28180354267310787,
|
| 986 |
+
"grad_norm": 1.2486872673034668,
|
| 987 |
+
"learning_rate": 5.418422237187113e-05,
|
| 988 |
+
"loss": 0.813,
|
| 989 |
+
"step": 140
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.28381642512077293,
|
| 993 |
+
"grad_norm": 1.1954402923583984,
|
| 994 |
+
"learning_rate": 5.4027283189423296e-05,
|
| 995 |
+
"loss": 0.7999,
|
| 996 |
+
"step": 141
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.285829307568438,
|
| 1000 |
+
"grad_norm": 1.1647478342056274,
|
| 1001 |
+
"learning_rate": 5.386944447849457e-05,
|
| 1002 |
+
"loss": 0.7872,
|
| 1003 |
+
"step": 142
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.28784219001610306,
|
| 1007 |
+
"grad_norm": 1.3171889781951904,
|
| 1008 |
+
"learning_rate": 5.371071283445577e-05,
|
| 1009 |
+
"loss": 0.8074,
|
| 1010 |
+
"step": 143
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.2898550724637681,
|
| 1014 |
+
"grad_norm": 1.3020223379135132,
|
| 1015 |
+
"learning_rate": 5.355109488998941e-05,
|
| 1016 |
+
"loss": 0.8068,
|
| 1017 |
+
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.2918679549114332,
|
| 1021 |
+
"grad_norm": 1.1892728805541992,
|
| 1022 |
+
"learning_rate": 5.339059731481252e-05,
|
| 1023 |
+
"loss": 0.7863,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.2938808373590982,
|
| 1028 |
+
"grad_norm": 1.2545976638793945,
|
| 1029 |
+
"learning_rate": 5.322922681539793e-05,
|
| 1030 |
+
"loss": 0.8486,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.29589371980676327,
|
| 1035 |
+
"grad_norm": 1.1874210834503174,
|
| 1036 |
+
"learning_rate": 5.3066990134694086e-05,
|
| 1037 |
+
"loss": 0.7702,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.29790660225442833,
|
| 1042 |
+
"grad_norm": 1.2464886903762817,
|
| 1043 |
+
"learning_rate": 5.2903894051843204e-05,
|
| 1044 |
+
"loss": 0.8313,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.2999194847020934,
|
| 1049 |
+
"grad_norm": 1.3062876462936401,
|
| 1050 |
+
"learning_rate": 5.2739945381898095e-05,
|
| 1051 |
+
"loss": 0.8076,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.30193236714975846,
|
| 1056 |
+
"grad_norm": 1.2185595035552979,
|
| 1057 |
+
"learning_rate": 5.2575150975537353e-05,
|
| 1058 |
+
"loss": 0.7585,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.30394524959742353,
|
| 1063 |
+
"grad_norm": 1.1846880912780762,
|
| 1064 |
+
"learning_rate": 5.240951771877909e-05,
|
| 1065 |
+
"loss": 0.7762,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.3059581320450886,
|
| 1070 |
+
"grad_norm": 1.1666184663772583,
|
| 1071 |
+
"learning_rate": 5.224305253269321e-05,
|
| 1072 |
+
"loss": 0.7539,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.3079710144927536,
|
| 1077 |
+
"grad_norm": 1.2293246984481812,
|
| 1078 |
+
"learning_rate": 5.207576237311223e-05,
|
| 1079 |
+
"loss": 0.8013,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.30998389694041867,
|
| 1084 |
+
"grad_norm": 1.184094786643982,
|
| 1085 |
+
"learning_rate": 5.1907654230340546e-05,
|
| 1086 |
+
"loss": 0.7686,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.31199677938808373,
|
| 1091 |
+
"grad_norm": 1.1998686790466309,
|
| 1092 |
+
"learning_rate": 5.1738735128862465e-05,
|
| 1093 |
+
"loss": 0.7596,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.3140096618357488,
|
| 1098 |
+
"grad_norm": 1.1767568588256836,
|
| 1099 |
+
"learning_rate": 5.156901212704858e-05,
|
| 1100 |
+
"loss": 0.7535,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.31602254428341386,
|
| 1105 |
+
"grad_norm": 1.1981345415115356,
|
| 1106 |
+
"learning_rate": 5.139849231686086e-05,
|
| 1107 |
+
"loss": 0.7971,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.31803542673107893,
|
| 1112 |
+
"grad_norm": 1.2676053047180176,
|
| 1113 |
+
"learning_rate": 5.122718282355635e-05,
|
| 1114 |
+
"loss": 0.7575,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.32004830917874394,
|
| 1119 |
+
"grad_norm": 1.2075040340423584,
|
| 1120 |
+
"learning_rate": 5.105509080538939e-05,
|
| 1121 |
+
"loss": 0.8187,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.322061191626409,
|
| 1126 |
+
"grad_norm": 1.2567739486694336,
|
| 1127 |
+
"learning_rate": 5.08822234533125e-05,
|
| 1128 |
+
"loss": 0.7754,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.32407407407407407,
|
| 1133 |
+
"grad_norm": 1.1478137969970703,
|
| 1134 |
+
"learning_rate": 5.0708587990675954e-05,
|
| 1135 |
+
"loss": 0.7744,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.32608695652173914,
|
| 1140 |
+
"grad_norm": 1.2385374307632446,
|
| 1141 |
+
"learning_rate": 5.05341916729259e-05,
|
| 1142 |
+
"loss": 0.7852,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.3280998389694042,
|
| 1147 |
+
"grad_norm": 1.2898869514465332,
|
| 1148 |
+
"learning_rate": 5.035904178730119e-05,
|
| 1149 |
+
"loss": 0.8475,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.33011272141706927,
|
| 1154 |
+
"grad_norm": 1.2359830141067505,
|
| 1155 |
+
"learning_rate": 5.018314565252893e-05,
|
| 1156 |
+
"loss": 0.8417,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.3321256038647343,
|
| 1161 |
+
"grad_norm": 1.224368929862976,
|
| 1162 |
+
"learning_rate": 5.00065106185186e-05,
|
| 1163 |
+
"loss": 0.7904,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.33413848631239934,
|
| 1168 |
+
"grad_norm": 1.229744553565979,
|
| 1169 |
+
"learning_rate": 4.9829144066054964e-05,
|
| 1170 |
+
"loss": 0.7969,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.3361513687600644,
|
| 1175 |
+
"grad_norm": 1.1933088302612305,
|
| 1176 |
+
"learning_rate": 4.9651053406489656e-05,
|
| 1177 |
+
"loss": 0.7646,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.33816425120772947,
|
| 1182 |
+
"grad_norm": 1.2042123079299927,
|
| 1183 |
+
"learning_rate": 4.9472246081431494e-05,
|
| 1184 |
+
"loss": 0.779,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.34017713365539454,
|
| 1189 |
+
"grad_norm": 1.1418585777282715,
|
| 1190 |
+
"learning_rate": 4.9292729562435545e-05,
|
| 1191 |
+
"loss": 0.7586,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.3421900161030596,
|
| 1196 |
+
"grad_norm": 1.2688250541687012,
|
| 1197 |
+
"learning_rate": 4.9112511350690876e-05,
|
| 1198 |
+
"loss": 0.7275,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.3442028985507246,
|
| 1203 |
+
"grad_norm": 1.1605274677276611,
|
| 1204 |
+
"learning_rate": 4.893159897670716e-05,
|
| 1205 |
+
"loss": 0.7784,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.3462157809983897,
|
| 1210 |
+
"grad_norm": 1.1853288412094116,
|
| 1211 |
+
"learning_rate": 4.874999999999999e-05,
|
| 1212 |
+
"loss": 0.7872,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.34822866344605474,
|
| 1217 |
+
"grad_norm": 1.180342197418213,
|
| 1218 |
+
"learning_rate": 4.856772200877502e-05,
|
| 1219 |
+
"loss": 0.7877,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.3502415458937198,
|
| 1224 |
+
"grad_norm": 1.1545747518539429,
|
| 1225 |
+
"learning_rate": 4.838477261961083e-05,
|
| 1226 |
+
"loss": 0.7554,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.3522544283413849,
|
| 1231 |
+
"grad_norm": 1.4341752529144287,
|
| 1232 |
+
"learning_rate": 4.820115947714075e-05,
|
| 1233 |
+
"loss": 0.7872,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.35426731078904994,
|
| 1238 |
+
"grad_norm": 1.254834532737732,
|
| 1239 |
+
"learning_rate": 4.801689025373334e-05,
|
| 1240 |
+
"loss": 0.8164,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.35628019323671495,
|
| 1245 |
+
"grad_norm": 1.18601393699646,
|
| 1246 |
+
"learning_rate": 4.783197264917187e-05,
|
| 1247 |
+
"loss": 0.7879,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.35829307568438,
|
| 1252 |
+
"grad_norm": 1.2259867191314697,
|
| 1253 |
+
"learning_rate": 4.764641439033251e-05,
|
| 1254 |
+
"loss": 0.8213,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.3603059581320451,
|
| 1259 |
+
"grad_norm": 1.2177544832229614,
|
| 1260 |
+
"learning_rate": 4.746022323086153e-05,
|
| 1261 |
+
"loss": 0.7674,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.36231884057971014,
|
| 1266 |
+
"grad_norm": 1.2497576475143433,
|
| 1267 |
+
"learning_rate": 4.7273406950851265e-05,
|
| 1268 |
+
"loss": 0.7512,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.3643317230273752,
|
| 1273 |
+
"grad_norm": 1.192671537399292,
|
| 1274 |
+
"learning_rate": 4.708597335651502e-05,
|
| 1275 |
+
"loss": 0.7917,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.3663446054750403,
|
| 1280 |
+
"grad_norm": 1.2135677337646484,
|
| 1281 |
+
"learning_rate": 4.689793027986089e-05,
|
| 1282 |
+
"loss": 0.7944,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.36835748792270534,
|
| 1287 |
+
"grad_norm": 1.2164232730865479,
|
| 1288 |
+
"learning_rate": 4.670928557836452e-05,
|
| 1289 |
+
"loss": 0.762,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.37037037037037035,
|
| 1294 |
+
"grad_norm": 1.175716757774353,
|
| 1295 |
+
"learning_rate": 4.6520047134640736e-05,
|
| 1296 |
+
"loss": 0.7313,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.3723832528180354,
|
| 1301 |
+
"grad_norm": 1.2479422092437744,
|
| 1302 |
+
"learning_rate": 4.633022285611418e-05,
|
| 1303 |
+
"loss": 0.831,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.3743961352657005,
|
| 1308 |
+
"grad_norm": 1.2672486305236816,
|
| 1309 |
+
"learning_rate": 4.613982067468894e-05,
|
| 1310 |
+
"loss": 0.7899,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.37640901771336555,
|
| 1315 |
+
"grad_norm": 1.3110653162002563,
|
| 1316 |
+
"learning_rate": 4.594884854641702e-05,
|
| 1317 |
+
"loss": 0.7759,
|
| 1318 |
+
"step": 187
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.3784219001610306,
|
| 1322 |
+
"grad_norm": 1.2542824745178223,
|
| 1323 |
+
"learning_rate": 4.575731445116596e-05,
|
| 1324 |
+
"loss": 0.785,
|
| 1325 |
+
"step": 188
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.3804347826086957,
|
| 1329 |
+
"grad_norm": 1.144977331161499,
|
| 1330 |
+
"learning_rate": 4.55652263922854e-05,
|
| 1331 |
+
"loss": 0.7398,
|
| 1332 |
+
"step": 189
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.3824476650563607,
|
| 1336 |
+
"grad_norm": 1.1065174341201782,
|
| 1337 |
+
"learning_rate": 4.537259239627259e-05,
|
| 1338 |
+
"loss": 0.7622,
|
| 1339 |
+
"step": 190
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.38446054750402575,
|
| 1343 |
+
"grad_norm": 1.227591872215271,
|
| 1344 |
+
"learning_rate": 4.5179420512437075e-05,
|
| 1345 |
+
"loss": 0.7603,
|
| 1346 |
+
"step": 191
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.3864734299516908,
|
| 1350 |
+
"grad_norm": 1.2493457794189453,
|
| 1351 |
+
"learning_rate": 4.498571881256432e-05,
|
| 1352 |
+
"loss": 0.7863,
|
| 1353 |
+
"step": 192
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.3884863123993559,
|
| 1357 |
+
"grad_norm": 1.3239022493362427,
|
| 1358 |
+
"learning_rate": 4.479149539057838e-05,
|
| 1359 |
+
"loss": 0.849,
|
| 1360 |
+
"step": 193
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.39049919484702095,
|
| 1364 |
+
"grad_norm": 1.2450414896011353,
|
| 1365 |
+
"learning_rate": 4.4596758362203775e-05,
|
| 1366 |
+
"loss": 0.7802,
|
| 1367 |
+
"step": 194
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.392512077294686,
|
| 1371 |
+
"grad_norm": 1.3064862489700317,
|
| 1372 |
+
"learning_rate": 4.44015158646263e-05,
|
| 1373 |
+
"loss": 0.7597,
|
| 1374 |
+
"step": 195
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.394524959742351,
|
| 1378 |
+
"grad_norm": 1.2286595106124878,
|
| 1379 |
+
"learning_rate": 4.4205776056153084e-05,
|
| 1380 |
+
"loss": 0.7863,
|
| 1381 |
+
"step": 196
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.3965378421900161,
|
| 1385 |
+
"grad_norm": 1.1941579580307007,
|
| 1386 |
+
"learning_rate": 4.4009547115871594e-05,
|
| 1387 |
+
"loss": 0.7199,
|
| 1388 |
+
"step": 197
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.39855072463768115,
|
| 1392 |
+
"grad_norm": 1.2539899349212646,
|
| 1393 |
+
"learning_rate": 4.3812837243307933e-05,
|
| 1394 |
+
"loss": 0.7807,
|
| 1395 |
+
"step": 198
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.4005636070853462,
|
| 1399 |
+
"grad_norm": 1.2592153549194336,
|
| 1400 |
+
"learning_rate": 4.3615654658084234e-05,
|
| 1401 |
+
"loss": 0.7657,
|
| 1402 |
+
"step": 199
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.4025764895330113,
|
| 1406 |
+
"grad_norm": 1.1356335878372192,
|
| 1407 |
+
"learning_rate": 4.341800759957512e-05,
|
| 1408 |
+
"loss": 0.6915,
|
| 1409 |
+
"step": 200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.40458937198067635,
|
| 1413 |
+
"grad_norm": 1.1767053604125977,
|
| 1414 |
+
"learning_rate": 4.32199043265635e-05,
|
| 1415 |
+
"loss": 0.781,
|
| 1416 |
+
"step": 201
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.40660225442834136,
|
| 1420 |
+
"grad_norm": 1.3261032104492188,
|
| 1421 |
+
"learning_rate": 4.302135311689543e-05,
|
| 1422 |
+
"loss": 0.7527,
|
| 1423 |
+
"step": 202
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.4086151368760064,
|
| 1427 |
+
"grad_norm": 1.2210772037506104,
|
| 1428 |
+
"learning_rate": 4.282236226713422e-05,
|
| 1429 |
+
"loss": 0.7815,
|
| 1430 |
+
"step": 203
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.4106280193236715,
|
| 1434 |
+
"grad_norm": 1.2168560028076172,
|
| 1435 |
+
"learning_rate": 4.26229400922138e-05,
|
| 1436 |
+
"loss": 0.7397,
|
| 1437 |
+
"step": 204
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.41264090177133655,
|
| 1441 |
+
"grad_norm": 1.24334716796875,
|
| 1442 |
+
"learning_rate": 4.2423094925091174e-05,
|
| 1443 |
+
"loss": 0.8202,
|
| 1444 |
+
"step": 205
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.4146537842190016,
|
| 1448 |
+
"grad_norm": 1.22861647605896,
|
| 1449 |
+
"learning_rate": 4.2222835116398354e-05,
|
| 1450 |
+
"loss": 0.7951,
|
| 1451 |
+
"step": 206
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.4166666666666667,
|
| 1455 |
+
"grad_norm": 1.2528316974639893,
|
| 1456 |
+
"learning_rate": 4.2022169034093314e-05,
|
| 1457 |
+
"loss": 0.7412,
|
| 1458 |
+
"step": 207
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.41867954911433175,
|
| 1462 |
+
"grad_norm": 1.259413242340088,
|
| 1463 |
+
"learning_rate": 4.182110506311043e-05,
|
| 1464 |
+
"loss": 0.8283,
|
| 1465 |
+
"step": 208
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.42069243156199676,
|
| 1469 |
+
"grad_norm": 1.1932429075241089,
|
| 1470 |
+
"learning_rate": 4.161965160501001e-05,
|
| 1471 |
+
"loss": 0.7777,
|
| 1472 |
+
"step": 209
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.4227053140096618,
|
| 1476 |
+
"grad_norm": 1.2518868446350098,
|
| 1477 |
+
"learning_rate": 4.14178170776273e-05,
|
| 1478 |
+
"loss": 0.8084,
|
| 1479 |
+
"step": 210
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.4247181964573269,
|
| 1483 |
+
"grad_norm": 1.1913188695907593,
|
| 1484 |
+
"learning_rate": 4.1215609914720716e-05,
|
| 1485 |
+
"loss": 0.7893,
|
| 1486 |
+
"step": 211
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.42673107890499196,
|
| 1490 |
+
"grad_norm": 1.174193024635315,
|
| 1491 |
+
"learning_rate": 4.1013038565619436e-05,
|
| 1492 |
+
"loss": 0.75,
|
| 1493 |
+
"step": 212
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.428743961352657,
|
| 1497 |
+
"grad_norm": 1.2024927139282227,
|
| 1498 |
+
"learning_rate": 4.081011149487037e-05,
|
| 1499 |
+
"loss": 0.7476,
|
| 1500 |
+
"step": 213
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.4307568438003221,
|
| 1504 |
+
"grad_norm": 1.2005985975265503,
|
| 1505 |
+
"learning_rate": 4.060683718188439e-05,
|
| 1506 |
+
"loss": 0.7445,
|
| 1507 |
+
"step": 214
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.4327697262479871,
|
| 1511 |
+
"grad_norm": 1.2409402132034302,
|
| 1512 |
+
"learning_rate": 4.0403224120582105e-05,
|
| 1513 |
+
"loss": 0.754,
|
| 1514 |
+
"step": 215
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.43478260869565216,
|
| 1518 |
+
"grad_norm": 1.1732304096221924,
|
| 1519 |
+
"learning_rate": 4.0199280819038866e-05,
|
| 1520 |
+
"loss": 0.7627,
|
| 1521 |
+
"step": 216
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.4367954911433172,
|
| 1525 |
+
"grad_norm": 1.1297844648361206,
|
| 1526 |
+
"learning_rate": 3.9995015799129304e-05,
|
| 1527 |
+
"loss": 0.7363,
|
| 1528 |
+
"step": 217
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.4388083735909823,
|
| 1532 |
+
"grad_norm": 1.1647371053695679,
|
| 1533 |
+
"learning_rate": 3.9790437596171196e-05,
|
| 1534 |
+
"loss": 0.7578,
|
| 1535 |
+
"step": 218
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.44082125603864736,
|
| 1539 |
+
"grad_norm": 1.2122061252593994,
|
| 1540 |
+
"learning_rate": 3.9585554758568836e-05,
|
| 1541 |
+
"loss": 0.7232,
|
| 1542 |
+
"step": 219
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.4428341384863124,
|
| 1546 |
+
"grad_norm": 1.1666353940963745,
|
| 1547 |
+
"learning_rate": 3.938037584745585e-05,
|
| 1548 |
+
"loss": 0.7585,
|
| 1549 |
+
"step": 220
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.44484702093397743,
|
| 1553 |
+
"grad_norm": 1.1572037935256958,
|
| 1554 |
+
"learning_rate": 3.917490943633741e-05,
|
| 1555 |
+
"loss": 0.7167,
|
| 1556 |
+
"step": 221
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.4468599033816425,
|
| 1560 |
+
"grad_norm": 1.1842679977416992,
|
| 1561 |
+
"learning_rate": 3.896916411073206e-05,
|
| 1562 |
+
"loss": 0.7835,
|
| 1563 |
+
"step": 222
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.44887278582930756,
|
| 1567 |
+
"grad_norm": 1.2700228691101074,
|
| 1568 |
+
"learning_rate": 3.8763148467812915e-05,
|
| 1569 |
+
"loss": 0.7771,
|
| 1570 |
+
"step": 223
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.45088566827697263,
|
| 1574 |
+
"grad_norm": 1.2174429893493652,
|
| 1575 |
+
"learning_rate": 3.8556871116048424e-05,
|
| 1576 |
+
"loss": 0.7462,
|
| 1577 |
+
"step": 224
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.4528985507246377,
|
| 1581 |
+
"grad_norm": 1.2977925539016724,
|
| 1582 |
+
"learning_rate": 3.835034067484267e-05,
|
| 1583 |
+
"loss": 0.7824,
|
| 1584 |
+
"step": 225
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.45491143317230276,
|
| 1588 |
+
"grad_norm": 1.2482331991195679,
|
| 1589 |
+
"learning_rate": 3.814356577417524e-05,
|
| 1590 |
+
"loss": 0.7877,
|
| 1591 |
+
"step": 226
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.45692431561996777,
|
| 1595 |
+
"grad_norm": 1.1702152490615845,
|
| 1596 |
+
"learning_rate": 3.793655505424054e-05,
|
| 1597 |
+
"loss": 0.7245,
|
| 1598 |
+
"step": 227
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.45893719806763283,
|
| 1602 |
+
"grad_norm": 1.1979886293411255,
|
| 1603 |
+
"learning_rate": 3.772931716508686e-05,
|
| 1604 |
+
"loss": 0.7637,
|
| 1605 |
+
"step": 228
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.4609500805152979,
|
| 1609 |
+
"grad_norm": 1.202635407447815,
|
| 1610 |
+
"learning_rate": 3.752186076625482e-05,
|
| 1611 |
+
"loss": 0.8038,
|
| 1612 |
+
"step": 229
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.46296296296296297,
|
| 1616 |
+
"grad_norm": 1.2843554019927979,
|
| 1617 |
+
"learning_rate": 3.731419452641559e-05,
|
| 1618 |
+
"loss": 0.7628,
|
| 1619 |
+
"step": 230
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.46497584541062803,
|
| 1623 |
+
"grad_norm": 1.2422301769256592,
|
| 1624 |
+
"learning_rate": 3.710632712300867e-05,
|
| 1625 |
+
"loss": 0.7793,
|
| 1626 |
+
"step": 231
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.4669887278582931,
|
| 1630 |
+
"grad_norm": 1.229872465133667,
|
| 1631 |
+
"learning_rate": 3.6898267241879266e-05,
|
| 1632 |
+
"loss": 0.787,
|
| 1633 |
+
"step": 232
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.4690016103059581,
|
| 1637 |
+
"grad_norm": 1.1803100109100342,
|
| 1638 |
+
"learning_rate": 3.669002357691536e-05,
|
| 1639 |
+
"loss": 0.7118,
|
| 1640 |
+
"step": 233
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.47101449275362317,
|
| 1644 |
+
"grad_norm": 1.2324291467666626,
|
| 1645 |
+
"learning_rate": 3.648160482968447e-05,
|
| 1646 |
+
"loss": 0.7781,
|
| 1647 |
+
"step": 234
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.47302737520128824,
|
| 1651 |
+
"grad_norm": 1.2399364709854126,
|
| 1652 |
+
"learning_rate": 3.627301970906998e-05,
|
| 1653 |
+
"loss": 0.8275,
|
| 1654 |
+
"step": 235
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.4750402576489533,
|
| 1658 |
+
"grad_norm": 1.167107343673706,
|
| 1659 |
+
"learning_rate": 3.6064276930907275e-05,
|
| 1660 |
+
"loss": 0.8124,
|
| 1661 |
+
"step": 236
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.47705314009661837,
|
| 1665 |
+
"grad_norm": 1.1939244270324707,
|
| 1666 |
+
"learning_rate": 3.585538521761956e-05,
|
| 1667 |
+
"loss": 0.7746,
|
| 1668 |
+
"step": 237
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.47906602254428343,
|
| 1672 |
+
"grad_norm": 1.151248574256897,
|
| 1673 |
+
"learning_rate": 3.564635329785332e-05,
|
| 1674 |
+
"loss": 0.7189,
|
| 1675 |
+
"step": 238
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.4810789049919485,
|
| 1679 |
+
"grad_norm": 1.225353479385376,
|
| 1680 |
+
"learning_rate": 3.543718990611371e-05,
|
| 1681 |
+
"loss": 0.7178,
|
| 1682 |
+
"step": 239
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.4830917874396135,
|
| 1686 |
+
"grad_norm": 1.1944713592529297,
|
| 1687 |
+
"learning_rate": 3.5227903782399465e-05,
|
| 1688 |
+
"loss": 0.7887,
|
| 1689 |
+
"step": 240
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.4851046698872786,
|
| 1693 |
+
"grad_norm": 1.2270437479019165,
|
| 1694 |
+
"learning_rate": 3.501850367183775e-05,
|
| 1695 |
+
"loss": 0.7748,
|
| 1696 |
+
"step": 241
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.48711755233494364,
|
| 1700 |
+
"grad_norm": 1.2102910280227661,
|
| 1701 |
+
"learning_rate": 3.4808998324318723e-05,
|
| 1702 |
+
"loss": 0.7739,
|
| 1703 |
+
"step": 242
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.4891304347826087,
|
| 1707 |
+
"grad_norm": 1.2025328874588013,
|
| 1708 |
+
"learning_rate": 3.459939649412993e-05,
|
| 1709 |
+
"loss": 0.7636,
|
| 1710 |
+
"step": 243
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.49114331723027377,
|
| 1714 |
+
"grad_norm": 1.2945396900177002,
|
| 1715 |
+
"learning_rate": 3.438970693959046e-05,
|
| 1716 |
+
"loss": 0.801,
|
| 1717 |
+
"step": 244
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.49315619967793883,
|
| 1721 |
+
"grad_norm": 1.1986439228057861,
|
| 1722 |
+
"learning_rate": 3.417993842268507e-05,
|
| 1723 |
+
"loss": 0.7242,
|
| 1724 |
+
"step": 245
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.49516908212560384,
|
| 1728 |
+
"grad_norm": 1.2383544445037842,
|
| 1729 |
+
"learning_rate": 3.397009970869796e-05,
|
| 1730 |
+
"loss": 0.7916,
|
| 1731 |
+
"step": 246
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.4971819645732689,
|
| 1735 |
+
"grad_norm": 1.2588520050048828,
|
| 1736 |
+
"learning_rate": 3.376019956584654e-05,
|
| 1737 |
+
"loss": 0.7865,
|
| 1738 |
+
"step": 247
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.499194847020934,
|
| 1742 |
+
"grad_norm": 1.2207812070846558,
|
| 1743 |
+
"learning_rate": 3.35502467649151e-05,
|
| 1744 |
+
"loss": 0.7671,
|
| 1745 |
+
"step": 248
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.501207729468599,
|
| 1749 |
+
"grad_norm": 1.1526901721954346,
|
| 1750 |
+
"learning_rate": 3.334025007888823e-05,
|
| 1751 |
+
"loss": 0.7068,
|
| 1752 |
+
"step": 249
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.5032206119162641,
|
| 1756 |
+
"grad_norm": 1.2134076356887817,
|
| 1757 |
+
"learning_rate": 3.313021828258429e-05,
|
| 1758 |
+
"loss": 0.7811,
|
| 1759 |
+
"step": 250
|
| 1760 |
+
}
|
| 1761 |
+
],
|
| 1762 |
+
"logging_steps": 1,
|
| 1763 |
+
"max_steps": 496,
|
| 1764 |
+
"num_input_tokens_seen": 0,
|
| 1765 |
+
"num_train_epochs": 1,
|
| 1766 |
+
"save_steps": 50,
|
| 1767 |
+
"stateful_callbacks": {
|
| 1768 |
+
"TrainerControl": {
|
| 1769 |
+
"args": {
|
| 1770 |
+
"should_epoch_stop": false,
|
| 1771 |
+
"should_evaluate": false,
|
| 1772 |
+
"should_log": false,
|
| 1773 |
+
"should_save": true,
|
| 1774 |
+
"should_training_stop": false
|
| 1775 |
+
},
|
| 1776 |
+
"attributes": {}
|
| 1777 |
+
}
|
| 1778 |
+
},
|
| 1779 |
+
"total_flos": 2.9422485539271475e+17,
|
| 1780 |
+
"train_batch_size": 6,
|
| 1781 |
+
"trial_name": null,
|
| 1782 |
+
"trial_params": null
|
| 1783 |
+
}
|
checkpoint-250/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2d099daa3926570d9e2501eaac78896812191b5c803506c6b4dc9b531482a17b
|
| 3 |
+
size 5112
|
checkpoint-300/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: rinna/llama-3-youko-8b
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
checkpoint-300/adapter_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "rinna/llama-3-youko-8b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": [
|
| 18 |
+
"embed_tokens",
|
| 19 |
+
"lm_head"
|
| 20 |
+
],
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 128,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": "unsloth",
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"o_proj",
|
| 27 |
+
"k_proj",
|
| 28 |
+
"v_proj",
|
| 29 |
+
"gate_proj",
|
| 30 |
+
"down_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"up_proj"
|
| 33 |
+
],
|
| 34 |
+
"task_type": "CAUSAL_LM",
|
| 35 |
+
"use_dora": false,
|
| 36 |
+
"use_rslora": true
|
| 37 |
+
}
|
checkpoint-300/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f338f16839828de49b457baeec77076386ff211ee16a91ba5bd7800710ac631b
|
| 3 |
+
size 11849545016
|
checkpoint-300/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e926662dc5572883ec8ad39abb2b4e82d37645bef765a14f2d759919702c452b
|
| 3 |
+
size 2778494044
|
checkpoint-300/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af34d41a387513fe16d2f526704002f5f5013be898bf20077d67118a76362740
|
| 3 |
+
size 14244
|
checkpoint-300/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f416f4ff6794a0414cc61677f028c509173d38015ba0000bc89c3104b72232d1
|
| 3 |
+
size 1064
|
checkpoint-300/trainer_state.json
ADDED
|
@@ -0,0 +1,2133 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.6038647342995169,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 300,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.002012882447665056,
|
| 13 |
+
"grad_norm": 22.921390533447266,
|
| 14 |
+
"learning_rate": 6.5e-06,
|
| 15 |
+
"loss": 1.3427,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.004025764895330112,
|
| 20 |
+
"grad_norm": 14.772722244262695,
|
| 21 |
+
"learning_rate": 1.3e-05,
|
| 22 |
+
"loss": 1.3647,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.006038647342995169,
|
| 27 |
+
"grad_norm": 11.458742141723633,
|
| 28 |
+
"learning_rate": 1.9499999999999996e-05,
|
| 29 |
+
"loss": 1.2841,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.008051529790660225,
|
| 34 |
+
"grad_norm": 4.747677326202393,
|
| 35 |
+
"learning_rate": 2.6e-05,
|
| 36 |
+
"loss": 1.1644,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.010064412238325281,
|
| 41 |
+
"grad_norm": 3.687121629714966,
|
| 42 |
+
"learning_rate": 3.25e-05,
|
| 43 |
+
"loss": 1.1084,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.012077294685990338,
|
| 48 |
+
"grad_norm": 3.178232431411743,
|
| 49 |
+
"learning_rate": 3.899999999999999e-05,
|
| 50 |
+
"loss": 1.0753,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.014090177133655395,
|
| 55 |
+
"grad_norm": 2.476033926010132,
|
| 56 |
+
"learning_rate": 4.5499999999999995e-05,
|
| 57 |
+
"loss": 1.075,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.01610305958132045,
|
| 62 |
+
"grad_norm": 1.9162139892578125,
|
| 63 |
+
"learning_rate": 5.2e-05,
|
| 64 |
+
"loss": 1.0195,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.018115942028985508,
|
| 69 |
+
"grad_norm": 1.797377109527588,
|
| 70 |
+
"learning_rate": 5.85e-05,
|
| 71 |
+
"loss": 0.9884,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.020128824476650563,
|
| 76 |
+
"grad_norm": 1.816100835800171,
|
| 77 |
+
"learning_rate": 6.5e-05,
|
| 78 |
+
"loss": 0.9945,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.02214170692431562,
|
| 83 |
+
"grad_norm": 1.843664526939392,
|
| 84 |
+
"learning_rate": 6.499932098548219e-05,
|
| 85 |
+
"loss": 0.8802,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.024154589371980676,
|
| 90 |
+
"grad_norm": 1.7202250957489014,
|
| 91 |
+
"learning_rate": 6.49972839703017e-05,
|
| 92 |
+
"loss": 0.9833,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.026167471819645734,
|
| 97 |
+
"grad_norm": 1.4981484413146973,
|
| 98 |
+
"learning_rate": 6.499388903957628e-05,
|
| 99 |
+
"loss": 0.9481,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.02818035426731079,
|
| 104 |
+
"grad_norm": 1.4716213941574097,
|
| 105 |
+
"learning_rate": 6.498913633516483e-05,
|
| 106 |
+
"loss": 0.8809,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.030193236714975844,
|
| 111 |
+
"grad_norm": 1.3817026615142822,
|
| 112 |
+
"learning_rate": 6.498302605566152e-05,
|
| 113 |
+
"loss": 0.9264,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.0322061191626409,
|
| 118 |
+
"grad_norm": 1.509097695350647,
|
| 119 |
+
"learning_rate": 6.497555845638748e-05,
|
| 120 |
+
"loss": 0.8829,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.03421900161030596,
|
| 125 |
+
"grad_norm": 1.5498337745666504,
|
| 126 |
+
"learning_rate": 6.496673384938014e-05,
|
| 127 |
+
"loss": 0.9227,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.036231884057971016,
|
| 132 |
+
"grad_norm": 1.527828574180603,
|
| 133 |
+
"learning_rate": 6.49565526033802e-05,
|
| 134 |
+
"loss": 0.9488,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.038244766505636074,
|
| 139 |
+
"grad_norm": 1.4578592777252197,
|
| 140 |
+
"learning_rate": 6.494501514381621e-05,
|
| 141 |
+
"loss": 0.8845,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.040257648953301126,
|
| 146 |
+
"grad_norm": 1.4198046922683716,
|
| 147 |
+
"learning_rate": 6.493212195278678e-05,
|
| 148 |
+
"loss": 0.8809,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.042270531400966184,
|
| 153 |
+
"grad_norm": 1.4455400705337524,
|
| 154 |
+
"learning_rate": 6.491787356904047e-05,
|
| 155 |
+
"loss": 0.8686,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.04428341384863124,
|
| 160 |
+
"grad_norm": 1.5711616277694702,
|
| 161 |
+
"learning_rate": 6.490227058795323e-05,
|
| 162 |
+
"loss": 0.96,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.046296296296296294,
|
| 167 |
+
"grad_norm": 1.4603729248046875,
|
| 168 |
+
"learning_rate": 6.488531366150359e-05,
|
| 169 |
+
"loss": 0.9026,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.04830917874396135,
|
| 174 |
+
"grad_norm": 1.4184608459472656,
|
| 175 |
+
"learning_rate": 6.48670034982453e-05,
|
| 176 |
+
"loss": 0.9426,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.05032206119162641,
|
| 181 |
+
"grad_norm": 1.4080291986465454,
|
| 182 |
+
"learning_rate": 6.484734086327788e-05,
|
| 183 |
+
"loss": 0.8857,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.05233494363929147,
|
| 188 |
+
"grad_norm": 1.4739091396331787,
|
| 189 |
+
"learning_rate": 6.482632657821454e-05,
|
| 190 |
+
"loss": 0.8897,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.05434782608695652,
|
| 195 |
+
"grad_norm": 1.320746898651123,
|
| 196 |
+
"learning_rate": 6.480396152114787e-05,
|
| 197 |
+
"loss": 0.8512,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.05636070853462158,
|
| 202 |
+
"grad_norm": 1.4142905473709106,
|
| 203 |
+
"learning_rate": 6.478024662661315e-05,
|
| 204 |
+
"loss": 0.9459,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.05837359098228664,
|
| 209 |
+
"grad_norm": 1.3830432891845703,
|
| 210 |
+
"learning_rate": 6.47551828855493e-05,
|
| 211 |
+
"loss": 0.8605,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.06038647342995169,
|
| 216 |
+
"grad_norm": 1.3653528690338135,
|
| 217 |
+
"learning_rate": 6.472877134525753e-05,
|
| 218 |
+
"loss": 0.8446,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.06239935587761675,
|
| 223 |
+
"grad_norm": 1.3041807413101196,
|
| 224 |
+
"learning_rate": 6.470101310935746e-05,
|
| 225 |
+
"loss": 0.8407,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.0644122383252818,
|
| 230 |
+
"grad_norm": 1.3803820610046387,
|
| 231 |
+
"learning_rate": 6.467190933774112e-05,
|
| 232 |
+
"loss": 0.8505,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.06642512077294686,
|
| 237 |
+
"grad_norm": 1.3407087326049805,
|
| 238 |
+
"learning_rate": 6.464146124652441e-05,
|
| 239 |
+
"loss": 0.794,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.06843800322061191,
|
| 244 |
+
"grad_norm": 1.4283268451690674,
|
| 245 |
+
"learning_rate": 6.460967010799629e-05,
|
| 246 |
+
"loss": 0.9139,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.07045088566827697,
|
| 251 |
+
"grad_norm": 1.3512784242630005,
|
| 252 |
+
"learning_rate": 6.457653725056568e-05,
|
| 253 |
+
"loss": 0.807,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.07246376811594203,
|
| 258 |
+
"grad_norm": 1.3088512420654297,
|
| 259 |
+
"learning_rate": 6.454206405870587e-05,
|
| 260 |
+
"loss": 0.8968,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.07447665056360708,
|
| 265 |
+
"grad_norm": 1.2908034324645996,
|
| 266 |
+
"learning_rate": 6.450625197289675e-05,
|
| 267 |
+
"loss": 0.8447,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.07648953301127215,
|
| 272 |
+
"grad_norm": 1.3444992303848267,
|
| 273 |
+
"learning_rate": 6.446910248956453e-05,
|
| 274 |
+
"loss": 0.8891,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.0785024154589372,
|
| 279 |
+
"grad_norm": 1.2567275762557983,
|
| 280 |
+
"learning_rate": 6.443061716101926e-05,
|
| 281 |
+
"loss": 0.8134,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.08051529790660225,
|
| 286 |
+
"grad_norm": 1.3401930332183838,
|
| 287 |
+
"learning_rate": 6.439079759539e-05,
|
| 288 |
+
"loss": 0.8751,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.08252818035426732,
|
| 293 |
+
"grad_norm": 1.3348793983459473,
|
| 294 |
+
"learning_rate": 6.434964545655754e-05,
|
| 295 |
+
"loss": 0.7942,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.08454106280193237,
|
| 300 |
+
"grad_norm": 1.311357021331787,
|
| 301 |
+
"learning_rate": 6.430716246408493e-05,
|
| 302 |
+
"loss": 0.8461,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.08655394524959742,
|
| 307 |
+
"grad_norm": 1.3319345712661743,
|
| 308 |
+
"learning_rate": 6.426335039314566e-05,
|
| 309 |
+
"loss": 0.8821,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.08856682769726248,
|
| 314 |
+
"grad_norm": 1.304795742034912,
|
| 315 |
+
"learning_rate": 6.421821107444936e-05,
|
| 316 |
+
"loss": 0.8655,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.09057971014492754,
|
| 321 |
+
"grad_norm": 1.422869086265564,
|
| 322 |
+
"learning_rate": 6.417174639416547e-05,
|
| 323 |
+
"loss": 0.9261,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.09259259259259259,
|
| 328 |
+
"grad_norm": 1.2931973934173584,
|
| 329 |
+
"learning_rate": 6.412395829384427e-05,
|
| 330 |
+
"loss": 0.8157,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.09460547504025765,
|
| 335 |
+
"grad_norm": 1.2984646558761597,
|
| 336 |
+
"learning_rate": 6.407484877033586e-05,
|
| 337 |
+
"loss": 0.7919,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.0966183574879227,
|
| 342 |
+
"grad_norm": 1.2596486806869507,
|
| 343 |
+
"learning_rate": 6.402441987570665e-05,
|
| 344 |
+
"loss": 0.7682,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.09863123993558776,
|
| 349 |
+
"grad_norm": 1.3544796705245972,
|
| 350 |
+
"learning_rate": 6.397267371715368e-05,
|
| 351 |
+
"loss": 0.9084,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.10064412238325282,
|
| 356 |
+
"grad_norm": 1.2623202800750732,
|
| 357 |
+
"learning_rate": 6.391961245691652e-05,
|
| 358 |
+
"loss": 0.8482,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.10265700483091787,
|
| 363 |
+
"grad_norm": 1.320026159286499,
|
| 364 |
+
"learning_rate": 6.386523831218689e-05,
|
| 365 |
+
"loss": 0.8436,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.10466988727858294,
|
| 370 |
+
"grad_norm": 1.4064967632293701,
|
| 371 |
+
"learning_rate": 6.38095535550161e-05,
|
| 372 |
+
"loss": 0.8962,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.10668276972624799,
|
| 377 |
+
"grad_norm": 1.3178116083145142,
|
| 378 |
+
"learning_rate": 6.375256051222009e-05,
|
| 379 |
+
"loss": 0.8064,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.10869565217391304,
|
| 384 |
+
"grad_norm": 1.2729371786117554,
|
| 385 |
+
"learning_rate": 6.369426156528213e-05,
|
| 386 |
+
"loss": 0.8338,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.1107085346215781,
|
| 391 |
+
"grad_norm": 1.2167425155639648,
|
| 392 |
+
"learning_rate": 6.363465915025339e-05,
|
| 393 |
+
"loss": 0.8078,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.11272141706924316,
|
| 398 |
+
"grad_norm": 1.3006845712661743,
|
| 399 |
+
"learning_rate": 6.357375575765108e-05,
|
| 400 |
+
"loss": 0.8462,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.11473429951690821,
|
| 405 |
+
"grad_norm": 1.245822787284851,
|
| 406 |
+
"learning_rate": 6.351155393235449e-05,
|
| 407 |
+
"loss": 0.8394,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.11674718196457327,
|
| 412 |
+
"grad_norm": 1.2608625888824463,
|
| 413 |
+
"learning_rate": 6.34480562734985e-05,
|
| 414 |
+
"loss": 0.8606,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.11876006441223833,
|
| 419 |
+
"grad_norm": 1.2614774703979492,
|
| 420 |
+
"learning_rate": 6.33832654343651e-05,
|
| 421 |
+
"loss": 0.7633,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.12077294685990338,
|
| 426 |
+
"grad_norm": 1.3382893800735474,
|
| 427 |
+
"learning_rate": 6.331718412227247e-05,
|
| 428 |
+
"loss": 0.8514,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.12278582930756844,
|
| 433 |
+
"grad_norm": 1.2239303588867188,
|
| 434 |
+
"learning_rate": 6.324981509846189e-05,
|
| 435 |
+
"loss": 0.8319,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.1247987117552335,
|
| 440 |
+
"grad_norm": 1.3828685283660889,
|
| 441 |
+
"learning_rate": 6.318116117798225e-05,
|
| 442 |
+
"loss": 0.8683,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.12681159420289856,
|
| 447 |
+
"grad_norm": 1.304027795791626,
|
| 448 |
+
"learning_rate": 6.311122522957255e-05,
|
| 449 |
+
"loss": 0.887,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.1288244766505636,
|
| 454 |
+
"grad_norm": 1.3097902536392212,
|
| 455 |
+
"learning_rate": 6.304001017554202e-05,
|
| 456 |
+
"loss": 0.8636,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.13083735909822866,
|
| 461 |
+
"grad_norm": 1.281269907951355,
|
| 462 |
+
"learning_rate": 6.296751899164788e-05,
|
| 463 |
+
"loss": 0.7537,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.13285024154589373,
|
| 468 |
+
"grad_norm": 1.2349010705947876,
|
| 469 |
+
"learning_rate": 6.289375470697116e-05,
|
| 470 |
+
"loss": 0.8451,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.13486312399355876,
|
| 475 |
+
"grad_norm": 1.2939257621765137,
|
| 476 |
+
"learning_rate": 6.281872040379001e-05,
|
| 477 |
+
"loss": 0.8249,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.13687600644122383,
|
| 482 |
+
"grad_norm": 1.308341145515442,
|
| 483 |
+
"learning_rate": 6.274241921745097e-05,
|
| 484 |
+
"loss": 0.8764,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.1388888888888889,
|
| 489 |
+
"grad_norm": 1.311805009841919,
|
| 490 |
+
"learning_rate": 6.266485433623794e-05,
|
| 491 |
+
"loss": 0.8308,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.14090177133655393,
|
| 496 |
+
"grad_norm": 1.6127303838729858,
|
| 497 |
+
"learning_rate": 6.258602900123894e-05,
|
| 498 |
+
"loss": 0.8069,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.142914653784219,
|
| 503 |
+
"grad_norm": 1.292090654373169,
|
| 504 |
+
"learning_rate": 6.250594650621067e-05,
|
| 505 |
+
"loss": 0.8174,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.14492753623188406,
|
| 510 |
+
"grad_norm": 1.256778359413147,
|
| 511 |
+
"learning_rate": 6.2424610197441e-05,
|
| 512 |
+
"loss": 0.7956,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.1469404186795491,
|
| 517 |
+
"grad_norm": 1.2579149007797241,
|
| 518 |
+
"learning_rate": 6.23420234736089e-05,
|
| 519 |
+
"loss": 0.8267,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.14895330112721417,
|
| 524 |
+
"grad_norm": 1.3226171731948853,
|
| 525 |
+
"learning_rate": 6.225818978564269e-05,
|
| 526 |
+
"loss": 0.9322,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.15096618357487923,
|
| 531 |
+
"grad_norm": 1.1891167163848877,
|
| 532 |
+
"learning_rate": 6.217311263657565e-05,
|
| 533 |
+
"loss": 0.7886,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.1529790660225443,
|
| 538 |
+
"grad_norm": 1.2481876611709595,
|
| 539 |
+
"learning_rate": 6.208679558139977e-05,
|
| 540 |
+
"loss": 0.7832,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.15499194847020933,
|
| 545 |
+
"grad_norm": 1.2592449188232422,
|
| 546 |
+
"learning_rate": 6.199924222691707e-05,
|
| 547 |
+
"loss": 0.8061,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.1570048309178744,
|
| 552 |
+
"grad_norm": 1.250359058380127,
|
| 553 |
+
"learning_rate": 6.191045623158907e-05,
|
| 554 |
+
"loss": 0.7942,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.15901771336553946,
|
| 559 |
+
"grad_norm": 1.2406524419784546,
|
| 560 |
+
"learning_rate": 6.182044130538373e-05,
|
| 561 |
+
"loss": 0.7766,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.1610305958132045,
|
| 566 |
+
"grad_norm": 1.2620049715042114,
|
| 567 |
+
"learning_rate": 6.172920120962052e-05,
|
| 568 |
+
"loss": 0.8445,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.16304347826086957,
|
| 573 |
+
"grad_norm": 1.2618622779846191,
|
| 574 |
+
"learning_rate": 6.16367397568133e-05,
|
| 575 |
+
"loss": 0.812,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.16505636070853463,
|
| 580 |
+
"grad_norm": 1.2560168504714966,
|
| 581 |
+
"learning_rate": 6.15430608105109e-05,
|
| 582 |
+
"loss": 0.8331,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.16706924315619967,
|
| 587 |
+
"grad_norm": 1.2386751174926758,
|
| 588 |
+
"learning_rate": 6.144816828513576e-05,
|
| 589 |
+
"loss": 0.7318,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.16908212560386474,
|
| 594 |
+
"grad_norm": 1.3558485507965088,
|
| 595 |
+
"learning_rate": 6.135206614582031e-05,
|
| 596 |
+
"loss": 0.8476,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.1710950080515298,
|
| 601 |
+
"grad_norm": 1.2461968660354614,
|
| 602 |
+
"learning_rate": 6.125475840824137e-05,
|
| 603 |
+
"loss": 0.8012,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.17310789049919484,
|
| 608 |
+
"grad_norm": 1.2398920059204102,
|
| 609 |
+
"learning_rate": 6.115624913845225e-05,
|
| 610 |
+
"loss": 0.8033,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.1751207729468599,
|
| 615 |
+
"grad_norm": 1.3263791799545288,
|
| 616 |
+
"learning_rate": 6.105654245271292e-05,
|
| 617 |
+
"loss": 0.8511,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.17713365539452497,
|
| 622 |
+
"grad_norm": 1.2072999477386475,
|
| 623 |
+
"learning_rate": 6.095564251731795e-05,
|
| 624 |
+
"loss": 0.7478,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.17914653784219,
|
| 629 |
+
"grad_norm": 1.287801742553711,
|
| 630 |
+
"learning_rate": 6.085355354842249e-05,
|
| 631 |
+
"loss": 0.8152,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.18115942028985507,
|
| 636 |
+
"grad_norm": 1.2826151847839355,
|
| 637 |
+
"learning_rate": 6.0750279811866046e-05,
|
| 638 |
+
"loss": 0.7918,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.18317230273752014,
|
| 643 |
+
"grad_norm": 1.276780605316162,
|
| 644 |
+
"learning_rate": 6.0645825622994254e-05,
|
| 645 |
+
"loss": 0.8774,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.18518518518518517,
|
| 650 |
+
"grad_norm": 1.2205020189285278,
|
| 651 |
+
"learning_rate": 6.0540195346478515e-05,
|
| 652 |
+
"loss": 0.8398,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.18719806763285024,
|
| 657 |
+
"grad_norm": 1.2247477769851685,
|
| 658 |
+
"learning_rate": 6.043339339613371e-05,
|
| 659 |
+
"loss": 0.8322,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.1892109500805153,
|
| 664 |
+
"grad_norm": 1.3282443284988403,
|
| 665 |
+
"learning_rate": 6.0325424234733656e-05,
|
| 666 |
+
"loss": 0.8003,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.19122383252818034,
|
| 671 |
+
"grad_norm": 1.3472024202346802,
|
| 672 |
+
"learning_rate": 6.0216292373824696e-05,
|
| 673 |
+
"loss": 0.8305,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.1932367149758454,
|
| 678 |
+
"grad_norm": 1.2812607288360596,
|
| 679 |
+
"learning_rate": 6.010600237353716e-05,
|
| 680 |
+
"loss": 0.7657,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.19524959742351047,
|
| 685 |
+
"grad_norm": 1.2958053350448608,
|
| 686 |
+
"learning_rate": 5.999455884239483e-05,
|
| 687 |
+
"loss": 0.869,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.1972624798711755,
|
| 692 |
+
"grad_norm": 1.2021034955978394,
|
| 693 |
+
"learning_rate": 5.988196643712235e-05,
|
| 694 |
+
"loss": 0.7798,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.19927536231884058,
|
| 699 |
+
"grad_norm": 1.2430065870285034,
|
| 700 |
+
"learning_rate": 5.976822986245067e-05,
|
| 701 |
+
"loss": 0.7496,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.20128824476650564,
|
| 706 |
+
"grad_norm": 1.2749730348587036,
|
| 707 |
+
"learning_rate": 5.9653353870920434e-05,
|
| 708 |
+
"loss": 0.831,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.20330112721417068,
|
| 713 |
+
"grad_norm": 1.2621365785598755,
|
| 714 |
+
"learning_rate": 5.953734326268337e-05,
|
| 715 |
+
"loss": 0.8051,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.20531400966183574,
|
| 720 |
+
"grad_norm": 1.1950538158416748,
|
| 721 |
+
"learning_rate": 5.94202028853018e-05,
|
| 722 |
+
"loss": 0.7866,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.2073268921095008,
|
| 727 |
+
"grad_norm": 1.3278518915176392,
|
| 728 |
+
"learning_rate": 5.930193763354597e-05,
|
| 729 |
+
"loss": 0.8374,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.20933977455716588,
|
| 734 |
+
"grad_norm": 1.281888484954834,
|
| 735 |
+
"learning_rate": 5.91825524491896e-05,
|
| 736 |
+
"loss": 0.8255,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.2113526570048309,
|
| 741 |
+
"grad_norm": 1.270607352256775,
|
| 742 |
+
"learning_rate": 5.906205232080336e-05,
|
| 743 |
+
"loss": 0.7782,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.21336553945249598,
|
| 748 |
+
"grad_norm": 1.2177718877792358,
|
| 749 |
+
"learning_rate": 5.894044228354644e-05,
|
| 750 |
+
"loss": 0.7506,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.21537842190016104,
|
| 755 |
+
"grad_norm": 1.247755765914917,
|
| 756 |
+
"learning_rate": 5.88177274189561e-05,
|
| 757 |
+
"loss": 0.8135,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.21739130434782608,
|
| 762 |
+
"grad_norm": 1.2848960161209106,
|
| 763 |
+
"learning_rate": 5.869391285473541e-05,
|
| 764 |
+
"loss": 0.8259,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.21940418679549115,
|
| 769 |
+
"grad_norm": 1.197343349456787,
|
| 770 |
+
"learning_rate": 5.856900376453892e-05,
|
| 771 |
+
"loss": 0.7872,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.2214170692431562,
|
| 776 |
+
"grad_norm": 1.2160040140151978,
|
| 777 |
+
"learning_rate": 5.844300536775651e-05,
|
| 778 |
+
"loss": 0.7725,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.22342995169082125,
|
| 783 |
+
"grad_norm": 1.2862228155136108,
|
| 784 |
+
"learning_rate": 5.831592292929532e-05,
|
| 785 |
+
"loss": 0.7808,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.22544283413848631,
|
| 790 |
+
"grad_norm": 1.2369639873504639,
|
| 791 |
+
"learning_rate": 5.818776175935967e-05,
|
| 792 |
+
"loss": 0.7898,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.22745571658615138,
|
| 797 |
+
"grad_norm": 1.2040680646896362,
|
| 798 |
+
"learning_rate": 5.805852721322927e-05,
|
| 799 |
+
"loss": 0.8068,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.22946859903381642,
|
| 804 |
+
"grad_norm": 1.28532075881958,
|
| 805 |
+
"learning_rate": 5.792822469103539e-05,
|
| 806 |
+
"loss": 0.8117,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.23148148148148148,
|
| 811 |
+
"grad_norm": 1.2590646743774414,
|
| 812 |
+
"learning_rate": 5.7796859637535194e-05,
|
| 813 |
+
"loss": 0.7806,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.23349436392914655,
|
| 818 |
+
"grad_norm": 1.223161220550537,
|
| 819 |
+
"learning_rate": 5.76644375418843e-05,
|
| 820 |
+
"loss": 0.7477,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.23550724637681159,
|
| 825 |
+
"grad_norm": 1.2891532182693481,
|
| 826 |
+
"learning_rate": 5.753096393740734e-05,
|
| 827 |
+
"loss": 0.8055,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.23752012882447665,
|
| 832 |
+
"grad_norm": 1.352499008178711,
|
| 833 |
+
"learning_rate": 5.739644440136678e-05,
|
| 834 |
+
"loss": 0.8192,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.23953301127214172,
|
| 839 |
+
"grad_norm": 1.2987629175186157,
|
| 840 |
+
"learning_rate": 5.726088455472989e-05,
|
| 841 |
+
"loss": 0.8279,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.24154589371980675,
|
| 846 |
+
"grad_norm": 1.2705352306365967,
|
| 847 |
+
"learning_rate": 5.7124290061933827e-05,
|
| 848 |
+
"loss": 0.826,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.24355877616747182,
|
| 853 |
+
"grad_norm": 1.3219701051712036,
|
| 854 |
+
"learning_rate": 5.698666663064896e-05,
|
| 855 |
+
"loss": 0.8321,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.24557165861513688,
|
| 860 |
+
"grad_norm": 1.3087178468704224,
|
| 861 |
+
"learning_rate": 5.6848020011540414e-05,
|
| 862 |
+
"loss": 0.8629,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.24758454106280192,
|
| 867 |
+
"grad_norm": 1.2457053661346436,
|
| 868 |
+
"learning_rate": 5.670835599802768e-05,
|
| 869 |
+
"loss": 0.8092,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.249597423510467,
|
| 874 |
+
"grad_norm": 1.2432583570480347,
|
| 875 |
+
"learning_rate": 5.656768042604265e-05,
|
| 876 |
+
"loss": 0.7889,
|
| 877 |
+
"step": 124
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.25161030595813205,
|
| 881 |
+
"grad_norm": 1.3183501958847046,
|
| 882 |
+
"learning_rate": 5.6425999173785643e-05,
|
| 883 |
+
"loss": 0.8554,
|
| 884 |
+
"step": 125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.2536231884057971,
|
| 888 |
+
"grad_norm": 1.2189457416534424,
|
| 889 |
+
"learning_rate": 5.628331816147989e-05,
|
| 890 |
+
"loss": 0.7932,
|
| 891 |
+
"step": 126
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.2556360708534622,
|
| 895 |
+
"grad_norm": 1.143637776374817,
|
| 896 |
+
"learning_rate": 5.6139643351124076e-05,
|
| 897 |
+
"loss": 0.7668,
|
| 898 |
+
"step": 127
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.2576489533011272,
|
| 902 |
+
"grad_norm": 1.1862376928329468,
|
| 903 |
+
"learning_rate": 5.5994980746243264e-05,
|
| 904 |
+
"loss": 0.8165,
|
| 905 |
+
"step": 128
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.25966183574879226,
|
| 909 |
+
"grad_norm": 1.1560195684432983,
|
| 910 |
+
"learning_rate": 5.5849336391637995e-05,
|
| 911 |
+
"loss": 0.8122,
|
| 912 |
+
"step": 129
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.2616747181964573,
|
| 916 |
+
"grad_norm": 1.2094959020614624,
|
| 917 |
+
"learning_rate": 5.5702716373131716e-05,
|
| 918 |
+
"loss": 0.7955,
|
| 919 |
+
"step": 130
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.2636876006441224,
|
| 923 |
+
"grad_norm": 1.2558305263519287,
|
| 924 |
+
"learning_rate": 5.5555126817316515e-05,
|
| 925 |
+
"loss": 0.8399,
|
| 926 |
+
"step": 131
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.26570048309178745,
|
| 930 |
+
"grad_norm": 1.297591209411621,
|
| 931 |
+
"learning_rate": 5.540657389129707e-05,
|
| 932 |
+
"loss": 0.8398,
|
| 933 |
+
"step": 132
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.2677133655394525,
|
| 937 |
+
"grad_norm": 1.3282864093780518,
|
| 938 |
+
"learning_rate": 5.525706380243297e-05,
|
| 939 |
+
"loss": 0.8156,
|
| 940 |
+
"step": 133
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.26972624798711753,
|
| 944 |
+
"grad_norm": 1.3417863845825195,
|
| 945 |
+
"learning_rate": 5.510660279807935e-05,
|
| 946 |
+
"loss": 0.8105,
|
| 947 |
+
"step": 134
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.2717391304347826,
|
| 951 |
+
"grad_norm": 1.2470736503601074,
|
| 952 |
+
"learning_rate": 5.495519716532585e-05,
|
| 953 |
+
"loss": 0.7849,
|
| 954 |
+
"step": 135
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.27375201288244766,
|
| 958 |
+
"grad_norm": 1.2911748886108398,
|
| 959 |
+
"learning_rate": 5.480285323073384e-05,
|
| 960 |
+
"loss": 0.836,
|
| 961 |
+
"step": 136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.2757648953301127,
|
| 965 |
+
"grad_norm": 1.2390037775039673,
|
| 966 |
+
"learning_rate": 5.464957736007215e-05,
|
| 967 |
+
"loss": 0.7556,
|
| 968 |
+
"step": 137
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.2777777777777778,
|
| 972 |
+
"grad_norm": 1.2093883752822876,
|
| 973 |
+
"learning_rate": 5.449537595805101e-05,
|
| 974 |
+
"loss": 0.8173,
|
| 975 |
+
"step": 138
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.27979066022544286,
|
| 979 |
+
"grad_norm": 1.2018241882324219,
|
| 980 |
+
"learning_rate": 5.434025546805447e-05,
|
| 981 |
+
"loss": 0.7983,
|
| 982 |
+
"step": 139
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.28180354267310787,
|
| 986 |
+
"grad_norm": 1.2486872673034668,
|
| 987 |
+
"learning_rate": 5.418422237187113e-05,
|
| 988 |
+
"loss": 0.813,
|
| 989 |
+
"step": 140
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.28381642512077293,
|
| 993 |
+
"grad_norm": 1.1954402923583984,
|
| 994 |
+
"learning_rate": 5.4027283189423296e-05,
|
| 995 |
+
"loss": 0.7999,
|
| 996 |
+
"step": 141
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.285829307568438,
|
| 1000 |
+
"grad_norm": 1.1647478342056274,
|
| 1001 |
+
"learning_rate": 5.386944447849457e-05,
|
| 1002 |
+
"loss": 0.7872,
|
| 1003 |
+
"step": 142
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.28784219001610306,
|
| 1007 |
+
"grad_norm": 1.3171889781951904,
|
| 1008 |
+
"learning_rate": 5.371071283445577e-05,
|
| 1009 |
+
"loss": 0.8074,
|
| 1010 |
+
"step": 143
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.2898550724637681,
|
| 1014 |
+
"grad_norm": 1.3020223379135132,
|
| 1015 |
+
"learning_rate": 5.355109488998941e-05,
|
| 1016 |
+
"loss": 0.8068,
|
| 1017 |
+
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.2918679549114332,
|
| 1021 |
+
"grad_norm": 1.1892728805541992,
|
| 1022 |
+
"learning_rate": 5.339059731481252e-05,
|
| 1023 |
+
"loss": 0.7863,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.2938808373590982,
|
| 1028 |
+
"grad_norm": 1.2545976638793945,
|
| 1029 |
+
"learning_rate": 5.322922681539793e-05,
|
| 1030 |
+
"loss": 0.8486,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.29589371980676327,
|
| 1035 |
+
"grad_norm": 1.1874210834503174,
|
| 1036 |
+
"learning_rate": 5.3066990134694086e-05,
|
| 1037 |
+
"loss": 0.7702,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.29790660225442833,
|
| 1042 |
+
"grad_norm": 1.2464886903762817,
|
| 1043 |
+
"learning_rate": 5.2903894051843204e-05,
|
| 1044 |
+
"loss": 0.8313,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.2999194847020934,
|
| 1049 |
+
"grad_norm": 1.3062876462936401,
|
| 1050 |
+
"learning_rate": 5.2739945381898095e-05,
|
| 1051 |
+
"loss": 0.8076,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.30193236714975846,
|
| 1056 |
+
"grad_norm": 1.2185595035552979,
|
| 1057 |
+
"learning_rate": 5.2575150975537353e-05,
|
| 1058 |
+
"loss": 0.7585,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.30394524959742353,
|
| 1063 |
+
"grad_norm": 1.1846880912780762,
|
| 1064 |
+
"learning_rate": 5.240951771877909e-05,
|
| 1065 |
+
"loss": 0.7762,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.3059581320450886,
|
| 1070 |
+
"grad_norm": 1.1666184663772583,
|
| 1071 |
+
"learning_rate": 5.224305253269321e-05,
|
| 1072 |
+
"loss": 0.7539,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.3079710144927536,
|
| 1077 |
+
"grad_norm": 1.2293246984481812,
|
| 1078 |
+
"learning_rate": 5.207576237311223e-05,
|
| 1079 |
+
"loss": 0.8013,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.30998389694041867,
|
| 1084 |
+
"grad_norm": 1.184094786643982,
|
| 1085 |
+
"learning_rate": 5.1907654230340546e-05,
|
| 1086 |
+
"loss": 0.7686,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.31199677938808373,
|
| 1091 |
+
"grad_norm": 1.1998686790466309,
|
| 1092 |
+
"learning_rate": 5.1738735128862465e-05,
|
| 1093 |
+
"loss": 0.7596,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.3140096618357488,
|
| 1098 |
+
"grad_norm": 1.1767568588256836,
|
| 1099 |
+
"learning_rate": 5.156901212704858e-05,
|
| 1100 |
+
"loss": 0.7535,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.31602254428341386,
|
| 1105 |
+
"grad_norm": 1.1981345415115356,
|
| 1106 |
+
"learning_rate": 5.139849231686086e-05,
|
| 1107 |
+
"loss": 0.7971,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.31803542673107893,
|
| 1112 |
+
"grad_norm": 1.2676053047180176,
|
| 1113 |
+
"learning_rate": 5.122718282355635e-05,
|
| 1114 |
+
"loss": 0.7575,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.32004830917874394,
|
| 1119 |
+
"grad_norm": 1.2075040340423584,
|
| 1120 |
+
"learning_rate": 5.105509080538939e-05,
|
| 1121 |
+
"loss": 0.8187,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.322061191626409,
|
| 1126 |
+
"grad_norm": 1.2567739486694336,
|
| 1127 |
+
"learning_rate": 5.08822234533125e-05,
|
| 1128 |
+
"loss": 0.7754,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.32407407407407407,
|
| 1133 |
+
"grad_norm": 1.1478137969970703,
|
| 1134 |
+
"learning_rate": 5.0708587990675954e-05,
|
| 1135 |
+
"loss": 0.7744,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.32608695652173914,
|
| 1140 |
+
"grad_norm": 1.2385374307632446,
|
| 1141 |
+
"learning_rate": 5.05341916729259e-05,
|
| 1142 |
+
"loss": 0.7852,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.3280998389694042,
|
| 1147 |
+
"grad_norm": 1.2898869514465332,
|
| 1148 |
+
"learning_rate": 5.035904178730119e-05,
|
| 1149 |
+
"loss": 0.8475,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.33011272141706927,
|
| 1154 |
+
"grad_norm": 1.2359830141067505,
|
| 1155 |
+
"learning_rate": 5.018314565252893e-05,
|
| 1156 |
+
"loss": 0.8417,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.3321256038647343,
|
| 1161 |
+
"grad_norm": 1.224368929862976,
|
| 1162 |
+
"learning_rate": 5.00065106185186e-05,
|
| 1163 |
+
"loss": 0.7904,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.33413848631239934,
|
| 1168 |
+
"grad_norm": 1.229744553565979,
|
| 1169 |
+
"learning_rate": 4.9829144066054964e-05,
|
| 1170 |
+
"loss": 0.7969,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.3361513687600644,
|
| 1175 |
+
"grad_norm": 1.1933088302612305,
|
| 1176 |
+
"learning_rate": 4.9651053406489656e-05,
|
| 1177 |
+
"loss": 0.7646,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.33816425120772947,
|
| 1182 |
+
"grad_norm": 1.2042123079299927,
|
| 1183 |
+
"learning_rate": 4.9472246081431494e-05,
|
| 1184 |
+
"loss": 0.779,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.34017713365539454,
|
| 1189 |
+
"grad_norm": 1.1418585777282715,
|
| 1190 |
+
"learning_rate": 4.9292729562435545e-05,
|
| 1191 |
+
"loss": 0.7586,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.3421900161030596,
|
| 1196 |
+
"grad_norm": 1.2688250541687012,
|
| 1197 |
+
"learning_rate": 4.9112511350690876e-05,
|
| 1198 |
+
"loss": 0.7275,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.3442028985507246,
|
| 1203 |
+
"grad_norm": 1.1605274677276611,
|
| 1204 |
+
"learning_rate": 4.893159897670716e-05,
|
| 1205 |
+
"loss": 0.7784,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.3462157809983897,
|
| 1210 |
+
"grad_norm": 1.1853288412094116,
|
| 1211 |
+
"learning_rate": 4.874999999999999e-05,
|
| 1212 |
+
"loss": 0.7872,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.34822866344605474,
|
| 1217 |
+
"grad_norm": 1.180342197418213,
|
| 1218 |
+
"learning_rate": 4.856772200877502e-05,
|
| 1219 |
+
"loss": 0.7877,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.3502415458937198,
|
| 1224 |
+
"grad_norm": 1.1545747518539429,
|
| 1225 |
+
"learning_rate": 4.838477261961083e-05,
|
| 1226 |
+
"loss": 0.7554,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.3522544283413849,
|
| 1231 |
+
"grad_norm": 1.4341752529144287,
|
| 1232 |
+
"learning_rate": 4.820115947714075e-05,
|
| 1233 |
+
"loss": 0.7872,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.35426731078904994,
|
| 1238 |
+
"grad_norm": 1.254834532737732,
|
| 1239 |
+
"learning_rate": 4.801689025373334e-05,
|
| 1240 |
+
"loss": 0.8164,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.35628019323671495,
|
| 1245 |
+
"grad_norm": 1.18601393699646,
|
| 1246 |
+
"learning_rate": 4.783197264917187e-05,
|
| 1247 |
+
"loss": 0.7879,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.35829307568438,
|
| 1252 |
+
"grad_norm": 1.2259867191314697,
|
| 1253 |
+
"learning_rate": 4.764641439033251e-05,
|
| 1254 |
+
"loss": 0.8213,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.3603059581320451,
|
| 1259 |
+
"grad_norm": 1.2177544832229614,
|
| 1260 |
+
"learning_rate": 4.746022323086153e-05,
|
| 1261 |
+
"loss": 0.7674,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.36231884057971014,
|
| 1266 |
+
"grad_norm": 1.2497576475143433,
|
| 1267 |
+
"learning_rate": 4.7273406950851265e-05,
|
| 1268 |
+
"loss": 0.7512,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.3643317230273752,
|
| 1273 |
+
"grad_norm": 1.192671537399292,
|
| 1274 |
+
"learning_rate": 4.708597335651502e-05,
|
| 1275 |
+
"loss": 0.7917,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.3663446054750403,
|
| 1280 |
+
"grad_norm": 1.2135677337646484,
|
| 1281 |
+
"learning_rate": 4.689793027986089e-05,
|
| 1282 |
+
"loss": 0.7944,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.36835748792270534,
|
| 1287 |
+
"grad_norm": 1.2164232730865479,
|
| 1288 |
+
"learning_rate": 4.670928557836452e-05,
|
| 1289 |
+
"loss": 0.762,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.37037037037037035,
|
| 1294 |
+
"grad_norm": 1.175716757774353,
|
| 1295 |
+
"learning_rate": 4.6520047134640736e-05,
|
| 1296 |
+
"loss": 0.7313,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.3723832528180354,
|
| 1301 |
+
"grad_norm": 1.2479422092437744,
|
| 1302 |
+
"learning_rate": 4.633022285611418e-05,
|
| 1303 |
+
"loss": 0.831,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.3743961352657005,
|
| 1308 |
+
"grad_norm": 1.2672486305236816,
|
| 1309 |
+
"learning_rate": 4.613982067468894e-05,
|
| 1310 |
+
"loss": 0.7899,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.37640901771336555,
|
| 1315 |
+
"grad_norm": 1.3110653162002563,
|
| 1316 |
+
"learning_rate": 4.594884854641702e-05,
|
| 1317 |
+
"loss": 0.7759,
|
| 1318 |
+
"step": 187
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.3784219001610306,
|
| 1322 |
+
"grad_norm": 1.2542824745178223,
|
| 1323 |
+
"learning_rate": 4.575731445116596e-05,
|
| 1324 |
+
"loss": 0.785,
|
| 1325 |
+
"step": 188
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.3804347826086957,
|
| 1329 |
+
"grad_norm": 1.144977331161499,
|
| 1330 |
+
"learning_rate": 4.55652263922854e-05,
|
| 1331 |
+
"loss": 0.7398,
|
| 1332 |
+
"step": 189
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.3824476650563607,
|
| 1336 |
+
"grad_norm": 1.1065174341201782,
|
| 1337 |
+
"learning_rate": 4.537259239627259e-05,
|
| 1338 |
+
"loss": 0.7622,
|
| 1339 |
+
"step": 190
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.38446054750402575,
|
| 1343 |
+
"grad_norm": 1.227591872215271,
|
| 1344 |
+
"learning_rate": 4.5179420512437075e-05,
|
| 1345 |
+
"loss": 0.7603,
|
| 1346 |
+
"step": 191
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.3864734299516908,
|
| 1350 |
+
"grad_norm": 1.2493457794189453,
|
| 1351 |
+
"learning_rate": 4.498571881256432e-05,
|
| 1352 |
+
"loss": 0.7863,
|
| 1353 |
+
"step": 192
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.3884863123993559,
|
| 1357 |
+
"grad_norm": 1.3239022493362427,
|
| 1358 |
+
"learning_rate": 4.479149539057838e-05,
|
| 1359 |
+
"loss": 0.849,
|
| 1360 |
+
"step": 193
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.39049919484702095,
|
| 1364 |
+
"grad_norm": 1.2450414896011353,
|
| 1365 |
+
"learning_rate": 4.4596758362203775e-05,
|
| 1366 |
+
"loss": 0.7802,
|
| 1367 |
+
"step": 194
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.392512077294686,
|
| 1371 |
+
"grad_norm": 1.3064862489700317,
|
| 1372 |
+
"learning_rate": 4.44015158646263e-05,
|
| 1373 |
+
"loss": 0.7597,
|
| 1374 |
+
"step": 195
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.394524959742351,
|
| 1378 |
+
"grad_norm": 1.2286595106124878,
|
| 1379 |
+
"learning_rate": 4.4205776056153084e-05,
|
| 1380 |
+
"loss": 0.7863,
|
| 1381 |
+
"step": 196
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.3965378421900161,
|
| 1385 |
+
"grad_norm": 1.1941579580307007,
|
| 1386 |
+
"learning_rate": 4.4009547115871594e-05,
|
| 1387 |
+
"loss": 0.7199,
|
| 1388 |
+
"step": 197
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.39855072463768115,
|
| 1392 |
+
"grad_norm": 1.2539899349212646,
|
| 1393 |
+
"learning_rate": 4.3812837243307933e-05,
|
| 1394 |
+
"loss": 0.7807,
|
| 1395 |
+
"step": 198
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.4005636070853462,
|
| 1399 |
+
"grad_norm": 1.2592153549194336,
|
| 1400 |
+
"learning_rate": 4.3615654658084234e-05,
|
| 1401 |
+
"loss": 0.7657,
|
| 1402 |
+
"step": 199
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.4025764895330113,
|
| 1406 |
+
"grad_norm": 1.1356335878372192,
|
| 1407 |
+
"learning_rate": 4.341800759957512e-05,
|
| 1408 |
+
"loss": 0.6915,
|
| 1409 |
+
"step": 200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.40458937198067635,
|
| 1413 |
+
"grad_norm": 1.1767053604125977,
|
| 1414 |
+
"learning_rate": 4.32199043265635e-05,
|
| 1415 |
+
"loss": 0.781,
|
| 1416 |
+
"step": 201
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.40660225442834136,
|
| 1420 |
+
"grad_norm": 1.3261032104492188,
|
| 1421 |
+
"learning_rate": 4.302135311689543e-05,
|
| 1422 |
+
"loss": 0.7527,
|
| 1423 |
+
"step": 202
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.4086151368760064,
|
| 1427 |
+
"grad_norm": 1.2210772037506104,
|
| 1428 |
+
"learning_rate": 4.282236226713422e-05,
|
| 1429 |
+
"loss": 0.7815,
|
| 1430 |
+
"step": 203
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.4106280193236715,
|
| 1434 |
+
"grad_norm": 1.2168560028076172,
|
| 1435 |
+
"learning_rate": 4.26229400922138e-05,
|
| 1436 |
+
"loss": 0.7397,
|
| 1437 |
+
"step": 204
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.41264090177133655,
|
| 1441 |
+
"grad_norm": 1.24334716796875,
|
| 1442 |
+
"learning_rate": 4.2423094925091174e-05,
|
| 1443 |
+
"loss": 0.8202,
|
| 1444 |
+
"step": 205
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.4146537842190016,
|
| 1448 |
+
"grad_norm": 1.22861647605896,
|
| 1449 |
+
"learning_rate": 4.2222835116398354e-05,
|
| 1450 |
+
"loss": 0.7951,
|
| 1451 |
+
"step": 206
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.4166666666666667,
|
| 1455 |
+
"grad_norm": 1.2528316974639893,
|
| 1456 |
+
"learning_rate": 4.2022169034093314e-05,
|
| 1457 |
+
"loss": 0.7412,
|
| 1458 |
+
"step": 207
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.41867954911433175,
|
| 1462 |
+
"grad_norm": 1.259413242340088,
|
| 1463 |
+
"learning_rate": 4.182110506311043e-05,
|
| 1464 |
+
"loss": 0.8283,
|
| 1465 |
+
"step": 208
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.42069243156199676,
|
| 1469 |
+
"grad_norm": 1.1932429075241089,
|
| 1470 |
+
"learning_rate": 4.161965160501001e-05,
|
| 1471 |
+
"loss": 0.7777,
|
| 1472 |
+
"step": 209
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.4227053140096618,
|
| 1476 |
+
"grad_norm": 1.2518868446350098,
|
| 1477 |
+
"learning_rate": 4.14178170776273e-05,
|
| 1478 |
+
"loss": 0.8084,
|
| 1479 |
+
"step": 210
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.4247181964573269,
|
| 1483 |
+
"grad_norm": 1.1913188695907593,
|
| 1484 |
+
"learning_rate": 4.1215609914720716e-05,
|
| 1485 |
+
"loss": 0.7893,
|
| 1486 |
+
"step": 211
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.42673107890499196,
|
| 1490 |
+
"grad_norm": 1.174193024635315,
|
| 1491 |
+
"learning_rate": 4.1013038565619436e-05,
|
| 1492 |
+
"loss": 0.75,
|
| 1493 |
+
"step": 212
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.428743961352657,
|
| 1497 |
+
"grad_norm": 1.2024927139282227,
|
| 1498 |
+
"learning_rate": 4.081011149487037e-05,
|
| 1499 |
+
"loss": 0.7476,
|
| 1500 |
+
"step": 213
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.4307568438003221,
|
| 1504 |
+
"grad_norm": 1.2005985975265503,
|
| 1505 |
+
"learning_rate": 4.060683718188439e-05,
|
| 1506 |
+
"loss": 0.7445,
|
| 1507 |
+
"step": 214
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.4327697262479871,
|
| 1511 |
+
"grad_norm": 1.2409402132034302,
|
| 1512 |
+
"learning_rate": 4.0403224120582105e-05,
|
| 1513 |
+
"loss": 0.754,
|
| 1514 |
+
"step": 215
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.43478260869565216,
|
| 1518 |
+
"grad_norm": 1.1732304096221924,
|
| 1519 |
+
"learning_rate": 4.0199280819038866e-05,
|
| 1520 |
+
"loss": 0.7627,
|
| 1521 |
+
"step": 216
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.4367954911433172,
|
| 1525 |
+
"grad_norm": 1.1297844648361206,
|
| 1526 |
+
"learning_rate": 3.9995015799129304e-05,
|
| 1527 |
+
"loss": 0.7363,
|
| 1528 |
+
"step": 217
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.4388083735909823,
|
| 1532 |
+
"grad_norm": 1.1647371053695679,
|
| 1533 |
+
"learning_rate": 3.9790437596171196e-05,
|
| 1534 |
+
"loss": 0.7578,
|
| 1535 |
+
"step": 218
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.44082125603864736,
|
| 1539 |
+
"grad_norm": 1.2122061252593994,
|
| 1540 |
+
"learning_rate": 3.9585554758568836e-05,
|
| 1541 |
+
"loss": 0.7232,
|
| 1542 |
+
"step": 219
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.4428341384863124,
|
| 1546 |
+
"grad_norm": 1.1666353940963745,
|
| 1547 |
+
"learning_rate": 3.938037584745585e-05,
|
| 1548 |
+
"loss": 0.7585,
|
| 1549 |
+
"step": 220
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.44484702093397743,
|
| 1553 |
+
"grad_norm": 1.1572037935256958,
|
| 1554 |
+
"learning_rate": 3.917490943633741e-05,
|
| 1555 |
+
"loss": 0.7167,
|
| 1556 |
+
"step": 221
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.4468599033816425,
|
| 1560 |
+
"grad_norm": 1.1842679977416992,
|
| 1561 |
+
"learning_rate": 3.896916411073206e-05,
|
| 1562 |
+
"loss": 0.7835,
|
| 1563 |
+
"step": 222
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.44887278582930756,
|
| 1567 |
+
"grad_norm": 1.2700228691101074,
|
| 1568 |
+
"learning_rate": 3.8763148467812915e-05,
|
| 1569 |
+
"loss": 0.7771,
|
| 1570 |
+
"step": 223
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.45088566827697263,
|
| 1574 |
+
"grad_norm": 1.2174429893493652,
|
| 1575 |
+
"learning_rate": 3.8556871116048424e-05,
|
| 1576 |
+
"loss": 0.7462,
|
| 1577 |
+
"step": 224
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.4528985507246377,
|
| 1581 |
+
"grad_norm": 1.2977925539016724,
|
| 1582 |
+
"learning_rate": 3.835034067484267e-05,
|
| 1583 |
+
"loss": 0.7824,
|
| 1584 |
+
"step": 225
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.45491143317230276,
|
| 1588 |
+
"grad_norm": 1.2482331991195679,
|
| 1589 |
+
"learning_rate": 3.814356577417524e-05,
|
| 1590 |
+
"loss": 0.7877,
|
| 1591 |
+
"step": 226
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.45692431561996777,
|
| 1595 |
+
"grad_norm": 1.1702152490615845,
|
| 1596 |
+
"learning_rate": 3.793655505424054e-05,
|
| 1597 |
+
"loss": 0.7245,
|
| 1598 |
+
"step": 227
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.45893719806763283,
|
| 1602 |
+
"grad_norm": 1.1979886293411255,
|
| 1603 |
+
"learning_rate": 3.772931716508686e-05,
|
| 1604 |
+
"loss": 0.7637,
|
| 1605 |
+
"step": 228
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.4609500805152979,
|
| 1609 |
+
"grad_norm": 1.202635407447815,
|
| 1610 |
+
"learning_rate": 3.752186076625482e-05,
|
| 1611 |
+
"loss": 0.8038,
|
| 1612 |
+
"step": 229
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.46296296296296297,
|
| 1616 |
+
"grad_norm": 1.2843554019927979,
|
| 1617 |
+
"learning_rate": 3.731419452641559e-05,
|
| 1618 |
+
"loss": 0.7628,
|
| 1619 |
+
"step": 230
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.46497584541062803,
|
| 1623 |
+
"grad_norm": 1.2422301769256592,
|
| 1624 |
+
"learning_rate": 3.710632712300867e-05,
|
| 1625 |
+
"loss": 0.7793,
|
| 1626 |
+
"step": 231
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.4669887278582931,
|
| 1630 |
+
"grad_norm": 1.229872465133667,
|
| 1631 |
+
"learning_rate": 3.6898267241879266e-05,
|
| 1632 |
+
"loss": 0.787,
|
| 1633 |
+
"step": 232
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.4690016103059581,
|
| 1637 |
+
"grad_norm": 1.1803100109100342,
|
| 1638 |
+
"learning_rate": 3.669002357691536e-05,
|
| 1639 |
+
"loss": 0.7118,
|
| 1640 |
+
"step": 233
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.47101449275362317,
|
| 1644 |
+
"grad_norm": 1.2324291467666626,
|
| 1645 |
+
"learning_rate": 3.648160482968447e-05,
|
| 1646 |
+
"loss": 0.7781,
|
| 1647 |
+
"step": 234
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.47302737520128824,
|
| 1651 |
+
"grad_norm": 1.2399364709854126,
|
| 1652 |
+
"learning_rate": 3.627301970906998e-05,
|
| 1653 |
+
"loss": 0.8275,
|
| 1654 |
+
"step": 235
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.4750402576489533,
|
| 1658 |
+
"grad_norm": 1.167107343673706,
|
| 1659 |
+
"learning_rate": 3.6064276930907275e-05,
|
| 1660 |
+
"loss": 0.8124,
|
| 1661 |
+
"step": 236
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.47705314009661837,
|
| 1665 |
+
"grad_norm": 1.1939244270324707,
|
| 1666 |
+
"learning_rate": 3.585538521761956e-05,
|
| 1667 |
+
"loss": 0.7746,
|
| 1668 |
+
"step": 237
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.47906602254428343,
|
| 1672 |
+
"grad_norm": 1.151248574256897,
|
| 1673 |
+
"learning_rate": 3.564635329785332e-05,
|
| 1674 |
+
"loss": 0.7189,
|
| 1675 |
+
"step": 238
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.4810789049919485,
|
| 1679 |
+
"grad_norm": 1.225353479385376,
|
| 1680 |
+
"learning_rate": 3.543718990611371e-05,
|
| 1681 |
+
"loss": 0.7178,
|
| 1682 |
+
"step": 239
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.4830917874396135,
|
| 1686 |
+
"grad_norm": 1.1944713592529297,
|
| 1687 |
+
"learning_rate": 3.5227903782399465e-05,
|
| 1688 |
+
"loss": 0.7887,
|
| 1689 |
+
"step": 240
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.4851046698872786,
|
| 1693 |
+
"grad_norm": 1.2270437479019165,
|
| 1694 |
+
"learning_rate": 3.501850367183775e-05,
|
| 1695 |
+
"loss": 0.7748,
|
| 1696 |
+
"step": 241
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.48711755233494364,
|
| 1700 |
+
"grad_norm": 1.2102910280227661,
|
| 1701 |
+
"learning_rate": 3.4808998324318723e-05,
|
| 1702 |
+
"loss": 0.7739,
|
| 1703 |
+
"step": 242
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.4891304347826087,
|
| 1707 |
+
"grad_norm": 1.2025328874588013,
|
| 1708 |
+
"learning_rate": 3.459939649412993e-05,
|
| 1709 |
+
"loss": 0.7636,
|
| 1710 |
+
"step": 243
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.49114331723027377,
|
| 1714 |
+
"grad_norm": 1.2945396900177002,
|
| 1715 |
+
"learning_rate": 3.438970693959046e-05,
|
| 1716 |
+
"loss": 0.801,
|
| 1717 |
+
"step": 244
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.49315619967793883,
|
| 1721 |
+
"grad_norm": 1.1986439228057861,
|
| 1722 |
+
"learning_rate": 3.417993842268507e-05,
|
| 1723 |
+
"loss": 0.7242,
|
| 1724 |
+
"step": 245
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.49516908212560384,
|
| 1728 |
+
"grad_norm": 1.2383544445037842,
|
| 1729 |
+
"learning_rate": 3.397009970869796e-05,
|
| 1730 |
+
"loss": 0.7916,
|
| 1731 |
+
"step": 246
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.4971819645732689,
|
| 1735 |
+
"grad_norm": 1.2588520050048828,
|
| 1736 |
+
"learning_rate": 3.376019956584654e-05,
|
| 1737 |
+
"loss": 0.7865,
|
| 1738 |
+
"step": 247
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.499194847020934,
|
| 1742 |
+
"grad_norm": 1.2207812070846558,
|
| 1743 |
+
"learning_rate": 3.35502467649151e-05,
|
| 1744 |
+
"loss": 0.7671,
|
| 1745 |
+
"step": 248
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.501207729468599,
|
| 1749 |
+
"grad_norm": 1.1526901721954346,
|
| 1750 |
+
"learning_rate": 3.334025007888823e-05,
|
| 1751 |
+
"loss": 0.7068,
|
| 1752 |
+
"step": 249
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.5032206119162641,
|
| 1756 |
+
"grad_norm": 1.2134076356887817,
|
| 1757 |
+
"learning_rate": 3.313021828258429e-05,
|
| 1758 |
+
"loss": 0.7811,
|
| 1759 |
+
"step": 250
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 0.5052334943639292,
|
| 1763 |
+
"grad_norm": 1.1232891082763672,
|
| 1764 |
+
"learning_rate": 3.292016015228877e-05,
|
| 1765 |
+
"loss": 0.7456,
|
| 1766 |
+
"step": 251
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 0.5072463768115942,
|
| 1770 |
+
"grad_norm": 1.1962013244628906,
|
| 1771 |
+
"learning_rate": 3.271008446538752e-05,
|
| 1772 |
+
"loss": 0.7699,
|
| 1773 |
+
"step": 252
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.5092592592592593,
|
| 1777 |
+
"grad_norm": 1.2679433822631836,
|
| 1778 |
+
"learning_rate": 3.25e-05,
|
| 1779 |
+
"loss": 0.7838,
|
| 1780 |
+
"step": 253
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 0.5112721417069244,
|
| 1784 |
+
"grad_norm": 1.1369578838348389,
|
| 1785 |
+
"learning_rate": 3.2289915534612466e-05,
|
| 1786 |
+
"loss": 0.7326,
|
| 1787 |
+
"step": 254
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.5132850241545893,
|
| 1791 |
+
"grad_norm": 1.20002281665802,
|
| 1792 |
+
"learning_rate": 3.207983984771123e-05,
|
| 1793 |
+
"loss": 0.7554,
|
| 1794 |
+
"step": 255
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.5152979066022544,
|
| 1798 |
+
"grad_norm": 1.1573915481567383,
|
| 1799 |
+
"learning_rate": 3.186978171741571e-05,
|
| 1800 |
+
"loss": 0.682,
|
| 1801 |
+
"step": 256
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.5173107890499195,
|
| 1805 |
+
"grad_norm": 1.1725130081176758,
|
| 1806 |
+
"learning_rate": 3.165974992111178e-05,
|
| 1807 |
+
"loss": 0.7674,
|
| 1808 |
+
"step": 257
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 0.5193236714975845,
|
| 1812 |
+
"grad_norm": 1.2105400562286377,
|
| 1813 |
+
"learning_rate": 3.1449753235084904e-05,
|
| 1814 |
+
"loss": 0.7425,
|
| 1815 |
+
"step": 258
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.5213365539452496,
|
| 1819 |
+
"grad_norm": 1.1620723009109497,
|
| 1820 |
+
"learning_rate": 3.123980043415345e-05,
|
| 1821 |
+
"loss": 0.7396,
|
| 1822 |
+
"step": 259
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 0.5233494363929146,
|
| 1826 |
+
"grad_norm": 1.163138508796692,
|
| 1827 |
+
"learning_rate": 3.102990029130204e-05,
|
| 1828 |
+
"loss": 0.7131,
|
| 1829 |
+
"step": 260
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 0.5253623188405797,
|
| 1833 |
+
"grad_norm": 1.2142436504364014,
|
| 1834 |
+
"learning_rate": 3.082006157731492e-05,
|
| 1835 |
+
"loss": 0.724,
|
| 1836 |
+
"step": 261
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 0.5273752012882448,
|
| 1840 |
+
"grad_norm": 1.1541523933410645,
|
| 1841 |
+
"learning_rate": 3.061029306040954e-05,
|
| 1842 |
+
"loss": 0.7305,
|
| 1843 |
+
"step": 262
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.5293880837359098,
|
| 1847 |
+
"grad_norm": 1.208058476448059,
|
| 1848 |
+
"learning_rate": 3.040060350587007e-05,
|
| 1849 |
+
"loss": 0.7625,
|
| 1850 |
+
"step": 263
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.5314009661835749,
|
| 1854 |
+
"grad_norm": 1.1648660898208618,
|
| 1855 |
+
"learning_rate": 3.0191001675681278e-05,
|
| 1856 |
+
"loss": 0.7422,
|
| 1857 |
+
"step": 264
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.53341384863124,
|
| 1861 |
+
"grad_norm": 1.175646424293518,
|
| 1862 |
+
"learning_rate": 2.9981496328162244e-05,
|
| 1863 |
+
"loss": 0.7202,
|
| 1864 |
+
"step": 265
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 0.535426731078905,
|
| 1868 |
+
"grad_norm": 1.1440715789794922,
|
| 1869 |
+
"learning_rate": 2.9772096217600523e-05,
|
| 1870 |
+
"loss": 0.6784,
|
| 1871 |
+
"step": 266
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 0.5374396135265701,
|
| 1875 |
+
"grad_norm": 1.2752009630203247,
|
| 1876 |
+
"learning_rate": 2.956281009388629e-05,
|
| 1877 |
+
"loss": 0.7446,
|
| 1878 |
+
"step": 267
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 0.5394524959742351,
|
| 1882 |
+
"grad_norm": 1.2139878273010254,
|
| 1883 |
+
"learning_rate": 2.9353646702146676e-05,
|
| 1884 |
+
"loss": 0.7583,
|
| 1885 |
+
"step": 268
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.5414653784219001,
|
| 1889 |
+
"grad_norm": 1.2297486066818237,
|
| 1890 |
+
"learning_rate": 2.9144614782380454e-05,
|
| 1891 |
+
"loss": 0.7103,
|
| 1892 |
+
"step": 269
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 0.5434782608695652,
|
| 1896 |
+
"grad_norm": 1.1957374811172485,
|
| 1897 |
+
"learning_rate": 2.893572306909272e-05,
|
| 1898 |
+
"loss": 0.763,
|
| 1899 |
+
"step": 270
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 0.5454911433172303,
|
| 1903 |
+
"grad_norm": 1.1861435174942017,
|
| 1904 |
+
"learning_rate": 2.872698029093001e-05,
|
| 1905 |
+
"loss": 0.8011,
|
| 1906 |
+
"step": 271
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 0.5475040257648953,
|
| 1910 |
+
"grad_norm": 1.232905626296997,
|
| 1911 |
+
"learning_rate": 2.8518395170315524e-05,
|
| 1912 |
+
"loss": 0.8291,
|
| 1913 |
+
"step": 272
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 0.5495169082125604,
|
| 1917 |
+
"grad_norm": 1.2735815048217773,
|
| 1918 |
+
"learning_rate": 2.830997642308463e-05,
|
| 1919 |
+
"loss": 0.7339,
|
| 1920 |
+
"step": 273
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 0.5515297906602254,
|
| 1924 |
+
"grad_norm": 1.256100058555603,
|
| 1925 |
+
"learning_rate": 2.8101732758120746e-05,
|
| 1926 |
+
"loss": 0.8017,
|
| 1927 |
+
"step": 274
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 0.5535426731078905,
|
| 1931 |
+
"grad_norm": 1.228579044342041,
|
| 1932 |
+
"learning_rate": 2.7893672876991337e-05,
|
| 1933 |
+
"loss": 0.7774,
|
| 1934 |
+
"step": 275
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 0.5555555555555556,
|
| 1938 |
+
"grad_norm": 1.1710914373397827,
|
| 1939 |
+
"learning_rate": 2.768580547358442e-05,
|
| 1940 |
+
"loss": 0.7252,
|
| 1941 |
+
"step": 276
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.5575684380032206,
|
| 1945 |
+
"grad_norm": 1.1470144987106323,
|
| 1946 |
+
"learning_rate": 2.7478139233745183e-05,
|
| 1947 |
+
"loss": 0.7662,
|
| 1948 |
+
"step": 277
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 0.5595813204508857,
|
| 1952 |
+
"grad_norm": 1.1679579019546509,
|
| 1953 |
+
"learning_rate": 2.7270682834913133e-05,
|
| 1954 |
+
"loss": 0.7748,
|
| 1955 |
+
"step": 278
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 0.5615942028985508,
|
| 1959 |
+
"grad_norm": 1.1878283023834229,
|
| 1960 |
+
"learning_rate": 2.7063444945759455e-05,
|
| 1961 |
+
"loss": 0.7375,
|
| 1962 |
+
"step": 279
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 0.5636070853462157,
|
| 1966 |
+
"grad_norm": 1.1710705757141113,
|
| 1967 |
+
"learning_rate": 2.6856434225824763e-05,
|
| 1968 |
+
"loss": 0.757,
|
| 1969 |
+
"step": 280
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 0.5656199677938808,
|
| 1973 |
+
"grad_norm": 1.1414003372192383,
|
| 1974 |
+
"learning_rate": 2.6649659325157332e-05,
|
| 1975 |
+
"loss": 0.7062,
|
| 1976 |
+
"step": 281
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 0.5676328502415459,
|
| 1980 |
+
"grad_norm": 1.189766764640808,
|
| 1981 |
+
"learning_rate": 2.644312888395158e-05,
|
| 1982 |
+
"loss": 0.7539,
|
| 1983 |
+
"step": 282
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.5696457326892109,
|
| 1987 |
+
"grad_norm": 1.2260947227478027,
|
| 1988 |
+
"learning_rate": 2.6236851532187076e-05,
|
| 1989 |
+
"loss": 0.7388,
|
| 1990 |
+
"step": 283
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 0.571658615136876,
|
| 1994 |
+
"grad_norm": 1.328162431716919,
|
| 1995 |
+
"learning_rate": 2.6030835889267932e-05,
|
| 1996 |
+
"loss": 0.7612,
|
| 1997 |
+
"step": 284
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.5736714975845411,
|
| 2001 |
+
"grad_norm": 1.1704083681106567,
|
| 2002 |
+
"learning_rate": 2.582509056366258e-05,
|
| 2003 |
+
"loss": 0.7511,
|
| 2004 |
+
"step": 285
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.5756843800322061,
|
| 2008 |
+
"grad_norm": 1.1261523962020874,
|
| 2009 |
+
"learning_rate": 2.561962415254416e-05,
|
| 2010 |
+
"loss": 0.7225,
|
| 2011 |
+
"step": 286
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.5776972624798712,
|
| 2015 |
+
"grad_norm": 1.2048742771148682,
|
| 2016 |
+
"learning_rate": 2.541444524143116e-05,
|
| 2017 |
+
"loss": 0.7864,
|
| 2018 |
+
"step": 287
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.5797101449275363,
|
| 2022 |
+
"grad_norm": 1.2203797101974487,
|
| 2023 |
+
"learning_rate": 2.5209562403828805e-05,
|
| 2024 |
+
"loss": 0.7114,
|
| 2025 |
+
"step": 288
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.5817230273752013,
|
| 2029 |
+
"grad_norm": 1.2502771615982056,
|
| 2030 |
+
"learning_rate": 2.5004984200870694e-05,
|
| 2031 |
+
"loss": 0.8076,
|
| 2032 |
+
"step": 289
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.5837359098228664,
|
| 2036 |
+
"grad_norm": 1.1746399402618408,
|
| 2037 |
+
"learning_rate": 2.480071918096112e-05,
|
| 2038 |
+
"loss": 0.7951,
|
| 2039 |
+
"step": 290
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.5857487922705314,
|
| 2043 |
+
"grad_norm": 1.1511627435684204,
|
| 2044 |
+
"learning_rate": 2.45967758794179e-05,
|
| 2045 |
+
"loss": 0.7189,
|
| 2046 |
+
"step": 291
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.5877616747181964,
|
| 2050 |
+
"grad_norm": 1.1979589462280273,
|
| 2051 |
+
"learning_rate": 2.4393162818115607e-05,
|
| 2052 |
+
"loss": 0.7739,
|
| 2053 |
+
"step": 292
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.5897745571658615,
|
| 2057 |
+
"grad_norm": 1.1766811609268188,
|
| 2058 |
+
"learning_rate": 2.4189888505129634e-05,
|
| 2059 |
+
"loss": 0.7609,
|
| 2060 |
+
"step": 293
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.5917874396135265,
|
| 2064 |
+
"grad_norm": 1.177783727645874,
|
| 2065 |
+
"learning_rate": 2.3986961434380555e-05,
|
| 2066 |
+
"loss": 0.7161,
|
| 2067 |
+
"step": 294
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.5938003220611916,
|
| 2071 |
+
"grad_norm": 1.1824970245361328,
|
| 2072 |
+
"learning_rate": 2.378439008527928e-05,
|
| 2073 |
+
"loss": 0.7752,
|
| 2074 |
+
"step": 295
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.5958132045088567,
|
| 2078 |
+
"grad_norm": 1.1629244089126587,
|
| 2079 |
+
"learning_rate": 2.3582182922372703e-05,
|
| 2080 |
+
"loss": 0.7514,
|
| 2081 |
+
"step": 296
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.5978260869565217,
|
| 2085 |
+
"grad_norm": 1.193488359451294,
|
| 2086 |
+
"learning_rate": 2.3380348394989985e-05,
|
| 2087 |
+
"loss": 0.7257,
|
| 2088 |
+
"step": 297
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.5998389694041868,
|
| 2092 |
+
"grad_norm": 1.2829092741012573,
|
| 2093 |
+
"learning_rate": 2.3178894936889573e-05,
|
| 2094 |
+
"loss": 0.8165,
|
| 2095 |
+
"step": 298
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.6018518518518519,
|
| 2099 |
+
"grad_norm": 1.1431480646133423,
|
| 2100 |
+
"learning_rate": 2.2977830965906677e-05,
|
| 2101 |
+
"loss": 0.7237,
|
| 2102 |
+
"step": 299
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.6038647342995169,
|
| 2106 |
+
"grad_norm": 1.1849764585494995,
|
| 2107 |
+
"learning_rate": 2.277716488360165e-05,
|
| 2108 |
+
"loss": 0.7758,
|
| 2109 |
+
"step": 300
|
| 2110 |
+
}
|
| 2111 |
+
],
|
| 2112 |
+
"logging_steps": 1,
|
| 2113 |
+
"max_steps": 496,
|
| 2114 |
+
"num_input_tokens_seen": 0,
|
| 2115 |
+
"num_train_epochs": 1,
|
| 2116 |
+
"save_steps": 50,
|
| 2117 |
+
"stateful_callbacks": {
|
| 2118 |
+
"TrainerControl": {
|
| 2119 |
+
"args": {
|
| 2120 |
+
"should_epoch_stop": false,
|
| 2121 |
+
"should_evaluate": false,
|
| 2122 |
+
"should_log": false,
|
| 2123 |
+
"should_save": true,
|
| 2124 |
+
"should_training_stop": false
|
| 2125 |
+
},
|
| 2126 |
+
"attributes": {}
|
| 2127 |
+
}
|
| 2128 |
+
},
|
| 2129 |
+
"total_flos": 3.5279419471272346e+17,
|
| 2130 |
+
"train_batch_size": 6,
|
| 2131 |
+
"trial_name": null,
|
| 2132 |
+
"trial_params": null
|
| 2133 |
+
}
|
checkpoint-300/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2d099daa3926570d9e2501eaac78896812191b5c803506c6b4dc9b531482a17b
|
| 3 |
+
size 5112
|