Upload 12 files
Browse files- README.md +202 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- config.json +50 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +36 -0
- tokenizer.json +0 -0
- tokenizer_config.json +124 -0
- trainer_state.json +2127 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: tiiuae/falcon-7b
|
3 |
+
library_name: peft
|
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
|
adapter_config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "tiiuae/falcon-7b",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
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": 0.0,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 16,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"query_key_value",
|
24 |
+
"dense",
|
25 |
+
"dense_4h_to_h",
|
26 |
+
"dense_h_to_4h"
|
27 |
+
],
|
28 |
+
"task_type": "CAUSAL_LM",
|
29 |
+
"use_dora": false,
|
30 |
+
"use_rslora": false
|
31 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d8dd9295e36ac57267d62baf8d9f7b4a96ec73067556074c55837f176344fdf6
|
3 |
+
size 130583912
|
config.json
ADDED
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "tiiuae/falcon-7b",
|
3 |
+
"alibi": false,
|
4 |
+
"apply_residual_connection_post_layernorm": false,
|
5 |
+
"architectures": [
|
6 |
+
"FalconForCausalLM"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"auto_map": {
|
10 |
+
"AutoConfig": "tiiuae/falcon-7b--configuration_falcon.FalconConfig",
|
11 |
+
"AutoModel": "tiiuae/falcon-7b--modeling_falcon.FalconModel",
|
12 |
+
"AutoModelForCausalLM": "tiiuae/falcon-7b--modeling_falcon.FalconForCausalLM",
|
13 |
+
"AutoModelForQuestionAnswering": "tiiuae/falcon-7b--modeling_falcon.FalconForQuestionAnswering",
|
14 |
+
"AutoModelForSequenceClassification": "tiiuae/falcon-7b--modeling_falcon.FalconForSequenceClassification",
|
15 |
+
"AutoModelForTokenClassification": "tiiuae/falcon-7b--modeling_falcon.FalconForTokenClassification"
|
16 |
+
},
|
17 |
+
"bias": false,
|
18 |
+
"bos_token_id": 11,
|
19 |
+
"eos_token_id": 11,
|
20 |
+
"hidden_dropout": 0.0,
|
21 |
+
"hidden_size": 4544,
|
22 |
+
"initializer_range": 0.02,
|
23 |
+
"layer_norm_epsilon": 1e-05,
|
24 |
+
"model_type": "falcon",
|
25 |
+
"multi_query": true,
|
26 |
+
"new_decoder_architecture": false,
|
27 |
+
"num_attention_heads": 71,
|
28 |
+
"num_hidden_layers": 32,
|
29 |
+
"num_kv_heads": 71,
|
30 |
+
"parallel_attn": true,
|
31 |
+
"quantization_config": {
|
32 |
+
"_load_in_4bit": true,
|
33 |
+
"_load_in_8bit": false,
|
34 |
+
"bnb_4bit_compute_dtype": "float32",
|
35 |
+
"bnb_4bit_quant_storage": "uint8",
|
36 |
+
"bnb_4bit_quant_type": "fp4",
|
37 |
+
"bnb_4bit_use_double_quant": false,
|
38 |
+
"llm_int8_enable_fp32_cpu_offload": false,
|
39 |
+
"llm_int8_has_fp16_weight": false,
|
40 |
+
"llm_int8_skip_modules": null,
|
41 |
+
"llm_int8_threshold": 6.0,
|
42 |
+
"load_in_4bit": true,
|
43 |
+
"load_in_8bit": false,
|
44 |
+
"quant_method": "bitsandbytes"
|
45 |
+
},
|
46 |
+
"torch_dtype": "bfloat16",
|
47 |
+
"transformers_version": "4.41.1",
|
48 |
+
"use_cache": false,
|
49 |
+
"vocab_size": 65024
|
50 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1fc4abdd1deecf9e4dbfc48379ad52067424fb1b4f822c1a3e16d6fe0183eb81
|
3 |
+
size 65689108
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d245e05e72192c132e0f2edb6fdcae0c578c890f0fe912f17ec7b0bba2d38cc3
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f9962077fc2a4601c0232291c21a0cba064f591eab080f7c3a5d4554c69db018
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
">>TITLE<<",
|
4 |
+
">>ABSTRACT<<",
|
5 |
+
">>INTRODUCTION<<",
|
6 |
+
">>SUMMARY<<",
|
7 |
+
">>COMMENT<<",
|
8 |
+
">>ANSWER<<",
|
9 |
+
">>QUESTION<<",
|
10 |
+
">>DOMAIN<<",
|
11 |
+
">>PREFIX<<",
|
12 |
+
">>SUFFIX<<",
|
13 |
+
">>MIDDLE<<"
|
14 |
+
],
|
15 |
+
"bos_token": {
|
16 |
+
"content": "<|endoftext|>",
|
17 |
+
"lstrip": false,
|
18 |
+
"normalized": false,
|
19 |
+
"rstrip": false,
|
20 |
+
"single_word": false
|
21 |
+
},
|
22 |
+
"eos_token": {
|
23 |
+
"content": "<|endoftext|>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false
|
28 |
+
},
|
29 |
+
"pad_token": {
|
30 |
+
"content": "<|endoftext|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false
|
35 |
+
}
|
36 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,124 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": ">>TITLE<<",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": ">>ABSTRACT<<",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
+
"content": ">>INTRODUCTION<<",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"3": {
|
29 |
+
"content": ">>SUMMARY<<",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"4": {
|
37 |
+
"content": ">>COMMENT<<",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"5": {
|
45 |
+
"content": ">>ANSWER<<",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"6": {
|
53 |
+
"content": ">>QUESTION<<",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
},
|
60 |
+
"7": {
|
61 |
+
"content": ">>DOMAIN<<",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false,
|
66 |
+
"special": true
|
67 |
+
},
|
68 |
+
"8": {
|
69 |
+
"content": ">>PREFIX<<",
|
70 |
+
"lstrip": false,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": false,
|
73 |
+
"single_word": false,
|
74 |
+
"special": true
|
75 |
+
},
|
76 |
+
"9": {
|
77 |
+
"content": ">>SUFFIX<<",
|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": true
|
83 |
+
},
|
84 |
+
"10": {
|
85 |
+
"content": ">>MIDDLE<<",
|
86 |
+
"lstrip": false,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": false,
|
89 |
+
"single_word": false,
|
90 |
+
"special": true
|
91 |
+
},
|
92 |
+
"11": {
|
93 |
+
"content": "<|endoftext|>",
|
94 |
+
"lstrip": false,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": true
|
99 |
+
}
|
100 |
+
},
|
101 |
+
"additional_special_tokens": [
|
102 |
+
">>TITLE<<",
|
103 |
+
">>ABSTRACT<<",
|
104 |
+
">>INTRODUCTION<<",
|
105 |
+
">>SUMMARY<<",
|
106 |
+
">>COMMENT<<",
|
107 |
+
">>ANSWER<<",
|
108 |
+
">>QUESTION<<",
|
109 |
+
">>DOMAIN<<",
|
110 |
+
">>PREFIX<<",
|
111 |
+
">>SUFFIX<<",
|
112 |
+
">>MIDDLE<<"
|
113 |
+
],
|
114 |
+
"bos_token": "<|endoftext|>",
|
115 |
+
"clean_up_tokenization_spaces": true,
|
116 |
+
"eos_token": "<|endoftext|>",
|
117 |
+
"model_input_names": [
|
118 |
+
"input_ids",
|
119 |
+
"attention_mask"
|
120 |
+
],
|
121 |
+
"model_max_length": 2048,
|
122 |
+
"pad_token": "<|endoftext|>",
|
123 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
124 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.0,
|
5 |
+
"eval_steps": 37,
|
6 |
+
"global_step": 290,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.006896551724137931,
|
13 |
+
"grad_norm": 2.651252269744873,
|
14 |
+
"learning_rate": 7.5e-07,
|
15 |
+
"loss": 4.7891,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.006896551724137931,
|
20 |
+
"eval_loss": 3.3850624561309814,
|
21 |
+
"eval_runtime": 4.5511,
|
22 |
+
"eval_samples_per_second": 1.758,
|
23 |
+
"eval_steps_per_second": 1.758,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.013793103448275862,
|
28 |
+
"grad_norm": 2.064390182495117,
|
29 |
+
"learning_rate": 1.5e-06,
|
30 |
+
"loss": 2.9792,
|
31 |
+
"step": 2
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.020689655172413793,
|
35 |
+
"grad_norm": 1.254639983177185,
|
36 |
+
"learning_rate": 2.25e-06,
|
37 |
+
"loss": 3.0642,
|
38 |
+
"step": 3
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.027586206896551724,
|
42 |
+
"grad_norm": 1.5396596193313599,
|
43 |
+
"learning_rate": 3e-06,
|
44 |
+
"loss": 3.249,
|
45 |
+
"step": 4
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.034482758620689655,
|
49 |
+
"grad_norm": 2.1187007427215576,
|
50 |
+
"learning_rate": 3.75e-06,
|
51 |
+
"loss": 3.4551,
|
52 |
+
"step": 5
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.041379310344827586,
|
56 |
+
"grad_norm": 3.609483003616333,
|
57 |
+
"learning_rate": 4.5e-06,
|
58 |
+
"loss": 6.0963,
|
59 |
+
"step": 6
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.04827586206896552,
|
63 |
+
"grad_norm": 2.3606605529785156,
|
64 |
+
"learning_rate": 5.25e-06,
|
65 |
+
"loss": 4.5106,
|
66 |
+
"step": 7
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.05517241379310345,
|
70 |
+
"grad_norm": 1.5973587036132812,
|
71 |
+
"learning_rate": 6e-06,
|
72 |
+
"loss": 3.3045,
|
73 |
+
"step": 8
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.06206896551724138,
|
77 |
+
"grad_norm": 1.4481266736984253,
|
78 |
+
"learning_rate": 6.750000000000001e-06,
|
79 |
+
"loss": 3.5009,
|
80 |
+
"step": 9
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.06896551724137931,
|
84 |
+
"grad_norm": 2.194455862045288,
|
85 |
+
"learning_rate": 7.5e-06,
|
86 |
+
"loss": 5.0099,
|
87 |
+
"step": 10
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.07586206896551724,
|
91 |
+
"grad_norm": 2.1214380264282227,
|
92 |
+
"learning_rate": 8.25e-06,
|
93 |
+
"loss": 3.7116,
|
94 |
+
"step": 11
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.08275862068965517,
|
98 |
+
"grad_norm": 1.501364827156067,
|
99 |
+
"learning_rate": 9e-06,
|
100 |
+
"loss": 3.3266,
|
101 |
+
"step": 12
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.0896551724137931,
|
105 |
+
"grad_norm": 2.078202962875366,
|
106 |
+
"learning_rate": 9.75e-06,
|
107 |
+
"loss": 3.4969,
|
108 |
+
"step": 13
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.09655172413793103,
|
112 |
+
"grad_norm": 1.9757059812545776,
|
113 |
+
"learning_rate": 1.05e-05,
|
114 |
+
"loss": 3.3945,
|
115 |
+
"step": 14
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.10344827586206896,
|
119 |
+
"grad_norm": 2.730952739715576,
|
120 |
+
"learning_rate": 1.125e-05,
|
121 |
+
"loss": 3.5526,
|
122 |
+
"step": 15
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.1103448275862069,
|
126 |
+
"grad_norm": 3.307832717895508,
|
127 |
+
"learning_rate": 1.2e-05,
|
128 |
+
"loss": 4.7907,
|
129 |
+
"step": 16
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.11724137931034483,
|
133 |
+
"grad_norm": 2.1818623542785645,
|
134 |
+
"learning_rate": 1.275e-05,
|
135 |
+
"loss": 3.9304,
|
136 |
+
"step": 17
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.12413793103448276,
|
140 |
+
"grad_norm": 3.2467010021209717,
|
141 |
+
"learning_rate": 1.3500000000000001e-05,
|
142 |
+
"loss": 4.9399,
|
143 |
+
"step": 18
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.1310344827586207,
|
147 |
+
"grad_norm": 1.985250473022461,
|
148 |
+
"learning_rate": 1.4249999999999999e-05,
|
149 |
+
"loss": 2.9249,
|
150 |
+
"step": 19
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.13793103448275862,
|
154 |
+
"grad_norm": 2.669128894805908,
|
155 |
+
"learning_rate": 1.5e-05,
|
156 |
+
"loss": 3.33,
|
157 |
+
"step": 20
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.14482758620689656,
|
161 |
+
"grad_norm": 2.3027143478393555,
|
162 |
+
"learning_rate": 1.575e-05,
|
163 |
+
"loss": 2.6643,
|
164 |
+
"step": 21
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.15172413793103448,
|
168 |
+
"grad_norm": 3.2221450805664062,
|
169 |
+
"learning_rate": 1.65e-05,
|
170 |
+
"loss": 3.6538,
|
171 |
+
"step": 22
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.15862068965517243,
|
175 |
+
"grad_norm": 4.213558197021484,
|
176 |
+
"learning_rate": 1.725e-05,
|
177 |
+
"loss": 3.5537,
|
178 |
+
"step": 23
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.16551724137931034,
|
182 |
+
"grad_norm": 1.8173574209213257,
|
183 |
+
"learning_rate": 1.8e-05,
|
184 |
+
"loss": 2.9893,
|
185 |
+
"step": 24
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.1724137931034483,
|
189 |
+
"grad_norm": 2.863757610321045,
|
190 |
+
"learning_rate": 1.8750000000000002e-05,
|
191 |
+
"loss": 2.487,
|
192 |
+
"step": 25
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.1793103448275862,
|
196 |
+
"grad_norm": 2.650667905807495,
|
197 |
+
"learning_rate": 1.95e-05,
|
198 |
+
"loss": 2.4155,
|
199 |
+
"step": 26
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.18620689655172415,
|
203 |
+
"grad_norm": 2.5865488052368164,
|
204 |
+
"learning_rate": 2.025e-05,
|
205 |
+
"loss": 2.6802,
|
206 |
+
"step": 27
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.19310344827586207,
|
210 |
+
"grad_norm": 2.5942306518554688,
|
211 |
+
"learning_rate": 2.1e-05,
|
212 |
+
"loss": 2.6337,
|
213 |
+
"step": 28
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.2,
|
217 |
+
"grad_norm": 4.72637414932251,
|
218 |
+
"learning_rate": 2.175e-05,
|
219 |
+
"loss": 4.4921,
|
220 |
+
"step": 29
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.20689655172413793,
|
224 |
+
"grad_norm": 3.370011806488037,
|
225 |
+
"learning_rate": 2.25e-05,
|
226 |
+
"loss": 2.8945,
|
227 |
+
"step": 30
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.21379310344827587,
|
231 |
+
"grad_norm": 2.9828832149505615,
|
232 |
+
"learning_rate": 2.3250000000000003e-05,
|
233 |
+
"loss": 3.031,
|
234 |
+
"step": 31
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.2206896551724138,
|
238 |
+
"grad_norm": 2.9294815063476562,
|
239 |
+
"learning_rate": 2.4e-05,
|
240 |
+
"loss": 2.7564,
|
241 |
+
"step": 32
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.22758620689655173,
|
245 |
+
"grad_norm": 2.9029836654663086,
|
246 |
+
"learning_rate": 2.475e-05,
|
247 |
+
"loss": 2.635,
|
248 |
+
"step": 33
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.23448275862068965,
|
252 |
+
"grad_norm": 3.5925707817077637,
|
253 |
+
"learning_rate": 2.55e-05,
|
254 |
+
"loss": 2.9502,
|
255 |
+
"step": 34
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.2413793103448276,
|
259 |
+
"grad_norm": 4.757285118103027,
|
260 |
+
"learning_rate": 2.625e-05,
|
261 |
+
"loss": 2.0215,
|
262 |
+
"step": 35
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.2482758620689655,
|
266 |
+
"grad_norm": 12.417799949645996,
|
267 |
+
"learning_rate": 2.7000000000000002e-05,
|
268 |
+
"loss": 4.3027,
|
269 |
+
"step": 36
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.25517241379310346,
|
273 |
+
"grad_norm": 4.293732166290283,
|
274 |
+
"learning_rate": 2.7750000000000004e-05,
|
275 |
+
"loss": 1.8095,
|
276 |
+
"step": 37
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.25517241379310346,
|
280 |
+
"eval_loss": 2.7702932357788086,
|
281 |
+
"eval_runtime": 4.4922,
|
282 |
+
"eval_samples_per_second": 1.781,
|
283 |
+
"eval_steps_per_second": 1.781,
|
284 |
+
"step": 37
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.2620689655172414,
|
288 |
+
"grad_norm": 4.490789890289307,
|
289 |
+
"learning_rate": 2.8499999999999998e-05,
|
290 |
+
"loss": 2.2294,
|
291 |
+
"step": 38
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.2689655172413793,
|
295 |
+
"grad_norm": 6.464705467224121,
|
296 |
+
"learning_rate": 2.925e-05,
|
297 |
+
"loss": 1.8365,
|
298 |
+
"step": 39
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 0.27586206896551724,
|
302 |
+
"grad_norm": 4.536788463592529,
|
303 |
+
"learning_rate": 3e-05,
|
304 |
+
"loss": 2.3919,
|
305 |
+
"step": 40
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.2827586206896552,
|
309 |
+
"grad_norm": 4.616312503814697,
|
310 |
+
"learning_rate": 2.9999842246463293e-05,
|
311 |
+
"loss": 2.7667,
|
312 |
+
"step": 41
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 0.2896551724137931,
|
316 |
+
"grad_norm": 9.268322944641113,
|
317 |
+
"learning_rate": 2.9999368989171332e-05,
|
318 |
+
"loss": 1.6036,
|
319 |
+
"step": 42
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 0.296551724137931,
|
323 |
+
"grad_norm": 9.249737739562988,
|
324 |
+
"learning_rate": 2.9998580238078518e-05,
|
325 |
+
"loss": 3.5214,
|
326 |
+
"step": 43
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.30344827586206896,
|
330 |
+
"grad_norm": 5.715229034423828,
|
331 |
+
"learning_rate": 2.9997476009775285e-05,
|
332 |
+
"loss": 2.8424,
|
333 |
+
"step": 44
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.3103448275862069,
|
337 |
+
"grad_norm": 11.085472106933594,
|
338 |
+
"learning_rate": 2.999605632748776e-05,
|
339 |
+
"loss": 3.2402,
|
340 |
+
"step": 45
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 0.31724137931034485,
|
344 |
+
"grad_norm": 9.64968204498291,
|
345 |
+
"learning_rate": 2.999432122107726e-05,
|
346 |
+
"loss": 2.5156,
|
347 |
+
"step": 46
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 0.32413793103448274,
|
351 |
+
"grad_norm": 5.387156963348389,
|
352 |
+
"learning_rate": 2.9992270727039674e-05,
|
353 |
+
"loss": 2.5335,
|
354 |
+
"step": 47
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.3310344827586207,
|
358 |
+
"grad_norm": 8.309078216552734,
|
359 |
+
"learning_rate": 2.9989904888504697e-05,
|
360 |
+
"loss": 3.9152,
|
361 |
+
"step": 48
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.33793103448275863,
|
365 |
+
"grad_norm": 8.13180923461914,
|
366 |
+
"learning_rate": 2.998722375523491e-05,
|
367 |
+
"loss": 2.6522,
|
368 |
+
"step": 49
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.3448275862068966,
|
372 |
+
"grad_norm": 5.079596042633057,
|
373 |
+
"learning_rate": 2.9984227383624753e-05,
|
374 |
+
"loss": 2.1673,
|
375 |
+
"step": 50
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.35172413793103446,
|
379 |
+
"grad_norm": 4.810355186462402,
|
380 |
+
"learning_rate": 2.9980915836699322e-05,
|
381 |
+
"loss": 2.4192,
|
382 |
+
"step": 51
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.3586206896551724,
|
386 |
+
"grad_norm": 5.691514015197754,
|
387 |
+
"learning_rate": 2.9977289184113038e-05,
|
388 |
+
"loss": 2.1087,
|
389 |
+
"step": 52
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.36551724137931035,
|
393 |
+
"grad_norm": 6.280345439910889,
|
394 |
+
"learning_rate": 2.997334750214822e-05,
|
395 |
+
"loss": 2.1365,
|
396 |
+
"step": 53
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.3724137931034483,
|
400 |
+
"grad_norm": 5.447160243988037,
|
401 |
+
"learning_rate": 2.9969090873713425e-05,
|
402 |
+
"loss": 2.3364,
|
403 |
+
"step": 54
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.3793103448275862,
|
407 |
+
"grad_norm": 9.810458183288574,
|
408 |
+
"learning_rate": 2.9964519388341753e-05,
|
409 |
+
"loss": 2.6459,
|
410 |
+
"step": 55
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.38620689655172413,
|
414 |
+
"grad_norm": 8.42009449005127,
|
415 |
+
"learning_rate": 2.9959633142188928e-05,
|
416 |
+
"loss": 2.449,
|
417 |
+
"step": 56
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.3931034482758621,
|
421 |
+
"grad_norm": 4.881720066070557,
|
422 |
+
"learning_rate": 2.99544322380313e-05,
|
423 |
+
"loss": 2.1418,
|
424 |
+
"step": 57
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 0.4,
|
428 |
+
"grad_norm": 5.82330322265625,
|
429 |
+
"learning_rate": 2.994891678526368e-05,
|
430 |
+
"loss": 1.7012,
|
431 |
+
"step": 58
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.4068965517241379,
|
435 |
+
"grad_norm": 7.9598917961120605,
|
436 |
+
"learning_rate": 2.994308689989702e-05,
|
437 |
+
"loss": 1.935,
|
438 |
+
"step": 59
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.41379310344827586,
|
442 |
+
"grad_norm": 4.582525253295898,
|
443 |
+
"learning_rate": 2.9936942704555988e-05,
|
444 |
+
"loss": 2.3673,
|
445 |
+
"step": 60
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 0.4206896551724138,
|
449 |
+
"grad_norm": 5.968487739562988,
|
450 |
+
"learning_rate": 2.9930484328476392e-05,
|
451 |
+
"loss": 1.3351,
|
452 |
+
"step": 61
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.42758620689655175,
|
456 |
+
"grad_norm": 6.217311859130859,
|
457 |
+
"learning_rate": 2.992371190750246e-05,
|
458 |
+
"loss": 2.8033,
|
459 |
+
"step": 62
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.43448275862068964,
|
463 |
+
"grad_norm": 15.824493408203125,
|
464 |
+
"learning_rate": 2.9916625584083965e-05,
|
465 |
+
"loss": 3.5775,
|
466 |
+
"step": 63
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.4413793103448276,
|
470 |
+
"grad_norm": 6.833436965942383,
|
471 |
+
"learning_rate": 2.990922550727326e-05,
|
472 |
+
"loss": 3.1572,
|
473 |
+
"step": 64
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.4482758620689655,
|
477 |
+
"grad_norm": 7.139071464538574,
|
478 |
+
"learning_rate": 2.9901511832722107e-05,
|
479 |
+
"loss": 2.5818,
|
480 |
+
"step": 65
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.45517241379310347,
|
484 |
+
"grad_norm": 5.222311973571777,
|
485 |
+
"learning_rate": 2.989348472267844e-05,
|
486 |
+
"loss": 1.6886,
|
487 |
+
"step": 66
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 0.46206896551724136,
|
491 |
+
"grad_norm": 5.626909255981445,
|
492 |
+
"learning_rate": 2.988514434598292e-05,
|
493 |
+
"loss": 2.3763,
|
494 |
+
"step": 67
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.4689655172413793,
|
498 |
+
"grad_norm": 4.76120138168335,
|
499 |
+
"learning_rate": 2.9876490878065402e-05,
|
500 |
+
"loss": 2.3714,
|
501 |
+
"step": 68
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.47586206896551725,
|
505 |
+
"grad_norm": 4.187699317932129,
|
506 |
+
"learning_rate": 2.9867524500941255e-05,
|
507 |
+
"loss": 1.5454,
|
508 |
+
"step": 69
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 0.4827586206896552,
|
512 |
+
"grad_norm": 6.578094959259033,
|
513 |
+
"learning_rate": 2.9858245403207488e-05,
|
514 |
+
"loss": 2.9233,
|
515 |
+
"step": 70
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 0.4896551724137931,
|
519 |
+
"grad_norm": 21.87733268737793,
|
520 |
+
"learning_rate": 2.9848653780038844e-05,
|
521 |
+
"loss": 3.232,
|
522 |
+
"step": 71
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.496551724137931,
|
526 |
+
"grad_norm": 8.493062973022461,
|
527 |
+
"learning_rate": 2.9838749833183647e-05,
|
528 |
+
"loss": 2.1025,
|
529 |
+
"step": 72
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.503448275862069,
|
533 |
+
"grad_norm": 9.408147811889648,
|
534 |
+
"learning_rate": 2.9828533770959584e-05,
|
535 |
+
"loss": 1.8301,
|
536 |
+
"step": 73
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.5103448275862069,
|
540 |
+
"grad_norm": 5.230013847351074,
|
541 |
+
"learning_rate": 2.9818005808249323e-05,
|
542 |
+
"loss": 1.6428,
|
543 |
+
"step": 74
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.5103448275862069,
|
547 |
+
"eval_loss": 2.1590590476989746,
|
548 |
+
"eval_runtime": 4.4994,
|
549 |
+
"eval_samples_per_second": 1.778,
|
550 |
+
"eval_steps_per_second": 1.778,
|
551 |
+
"step": 74
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.5172413793103449,
|
555 |
+
"grad_norm": 5.788967132568359,
|
556 |
+
"learning_rate": 2.9807166166495966e-05,
|
557 |
+
"loss": 0.9333,
|
558 |
+
"step": 75
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 0.5241379310344828,
|
562 |
+
"grad_norm": 5.982523441314697,
|
563 |
+
"learning_rate": 2.979601507369843e-05,
|
564 |
+
"loss": 1.8066,
|
565 |
+
"step": 76
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 0.5310344827586206,
|
569 |
+
"grad_norm": 4.951727867126465,
|
570 |
+
"learning_rate": 2.978455276440662e-05,
|
571 |
+
"loss": 1.3418,
|
572 |
+
"step": 77
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.5379310344827586,
|
576 |
+
"grad_norm": 5.705328941345215,
|
577 |
+
"learning_rate": 2.977277947971652e-05,
|
578 |
+
"loss": 1.1168,
|
579 |
+
"step": 78
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.5448275862068965,
|
583 |
+
"grad_norm": 10.673117637634277,
|
584 |
+
"learning_rate": 2.9760695467265096e-05,
|
585 |
+
"loss": 1.9509,
|
586 |
+
"step": 79
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 0.5517241379310345,
|
590 |
+
"grad_norm": 7.005712985992432,
|
591 |
+
"learning_rate": 2.9748300981225112e-05,
|
592 |
+
"loss": 2.8095,
|
593 |
+
"step": 80
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.5586206896551724,
|
597 |
+
"grad_norm": 10.768919944763184,
|
598 |
+
"learning_rate": 2.9735596282299767e-05,
|
599 |
+
"loss": 1.1537,
|
600 |
+
"step": 81
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 0.5655172413793104,
|
604 |
+
"grad_norm": 5.258718967437744,
|
605 |
+
"learning_rate": 2.9722581637717225e-05,
|
606 |
+
"loss": 2.0656,
|
607 |
+
"step": 82
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 0.5724137931034483,
|
611 |
+
"grad_norm": 6.1790971755981445,
|
612 |
+
"learning_rate": 2.9709257321224973e-05,
|
613 |
+
"loss": 2.4952,
|
614 |
+
"step": 83
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.5793103448275863,
|
618 |
+
"grad_norm": 5.152263164520264,
|
619 |
+
"learning_rate": 2.9695623613084094e-05,
|
620 |
+
"loss": 1.631,
|
621 |
+
"step": 84
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 0.5862068965517241,
|
625 |
+
"grad_norm": 9.117701530456543,
|
626 |
+
"learning_rate": 2.9681680800063333e-05,
|
627 |
+
"loss": 1.5723,
|
628 |
+
"step": 85
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 0.593103448275862,
|
632 |
+
"grad_norm": 15.927285194396973,
|
633 |
+
"learning_rate": 2.966742917543311e-05,
|
634 |
+
"loss": 4.0567,
|
635 |
+
"step": 86
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 0.6,
|
639 |
+
"grad_norm": 7.300537109375,
|
640 |
+
"learning_rate": 2.9652869038959308e-05,
|
641 |
+
"loss": 2.0857,
|
642 |
+
"step": 87
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 0.6068965517241379,
|
646 |
+
"grad_norm": 5.633571147918701,
|
647 |
+
"learning_rate": 2.9638000696897004e-05,
|
648 |
+
"loss": 1.5046,
|
649 |
+
"step": 88
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 0.6137931034482759,
|
653 |
+
"grad_norm": 5.7234625816345215,
|
654 |
+
"learning_rate": 2.9622824461984e-05,
|
655 |
+
"loss": 2.1678,
|
656 |
+
"step": 89
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 0.6206896551724138,
|
660 |
+
"grad_norm": 5.1384124755859375,
|
661 |
+
"learning_rate": 2.9607340653434263e-05,
|
662 |
+
"loss": 1.2331,
|
663 |
+
"step": 90
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 0.6275862068965518,
|
667 |
+
"grad_norm": 9.393917083740234,
|
668 |
+
"learning_rate": 2.9591549596931196e-05,
|
669 |
+
"loss": 2.3239,
|
670 |
+
"step": 91
|
671 |
+
},
|
672 |
+
{
|
673 |
+
"epoch": 0.6344827586206897,
|
674 |
+
"grad_norm": 29.67850112915039,
|
675 |
+
"learning_rate": 2.957545162462081e-05,
|
676 |
+
"loss": 2.7711,
|
677 |
+
"step": 92
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 0.6413793103448275,
|
681 |
+
"grad_norm": 11.757678985595703,
|
682 |
+
"learning_rate": 2.95590470751047e-05,
|
683 |
+
"loss": 0.862,
|
684 |
+
"step": 93
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 0.6482758620689655,
|
688 |
+
"grad_norm": 5.055336952209473,
|
689 |
+
"learning_rate": 2.954233629343297e-05,
|
690 |
+
"loss": 0.7167,
|
691 |
+
"step": 94
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 0.6551724137931034,
|
695 |
+
"grad_norm": 6.484320640563965,
|
696 |
+
"learning_rate": 2.9525319631096936e-05,
|
697 |
+
"loss": 1.518,
|
698 |
+
"step": 95
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.6620689655172414,
|
702 |
+
"grad_norm": 21.282947540283203,
|
703 |
+
"learning_rate": 2.950799744602176e-05,
|
704 |
+
"loss": 1.6637,
|
705 |
+
"step": 96
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 0.6689655172413793,
|
709 |
+
"grad_norm": 4.83950662612915,
|
710 |
+
"learning_rate": 2.94903701025589e-05,
|
711 |
+
"loss": 1.8401,
|
712 |
+
"step": 97
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 0.6758620689655173,
|
716 |
+
"grad_norm": 8.747105598449707,
|
717 |
+
"learning_rate": 2.9472437971478456e-05,
|
718 |
+
"loss": 2.6096,
|
719 |
+
"step": 98
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 0.6827586206896552,
|
723 |
+
"grad_norm": 5.483854293823242,
|
724 |
+
"learning_rate": 2.9454201429961377e-05,
|
725 |
+
"loss": 1.1973,
|
726 |
+
"step": 99
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 0.6896551724137931,
|
730 |
+
"grad_norm": 8.147703170776367,
|
731 |
+
"learning_rate": 2.9435660861591523e-05,
|
732 |
+
"loss": 2.2331,
|
733 |
+
"step": 100
|
734 |
+
},
|
735 |
+
{
|
736 |
+
"epoch": 0.696551724137931,
|
737 |
+
"grad_norm": 10.85132884979248,
|
738 |
+
"learning_rate": 2.9416816656347585e-05,
|
739 |
+
"loss": 1.3165,
|
740 |
+
"step": 101
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 0.7034482758620689,
|
744 |
+
"grad_norm": 9.249916076660156,
|
745 |
+
"learning_rate": 2.9397669210594905e-05,
|
746 |
+
"loss": 2.4115,
|
747 |
+
"step": 102
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 0.7103448275862069,
|
751 |
+
"grad_norm": 8.229886054992676,
|
752 |
+
"learning_rate": 2.9378218927077116e-05,
|
753 |
+
"loss": 1.3861,
|
754 |
+
"step": 103
|
755 |
+
},
|
756 |
+
{
|
757 |
+
"epoch": 0.7172413793103448,
|
758 |
+
"grad_norm": 5.1249613761901855,
|
759 |
+
"learning_rate": 2.9358466214907692e-05,
|
760 |
+
"loss": 1.3119,
|
761 |
+
"step": 104
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 0.7241379310344828,
|
765 |
+
"grad_norm": 7.522292137145996,
|
766 |
+
"learning_rate": 2.9338411489561327e-05,
|
767 |
+
"loss": 2.3285,
|
768 |
+
"step": 105
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 0.7310344827586207,
|
772 |
+
"grad_norm": 8.781840324401855,
|
773 |
+
"learning_rate": 2.931805517286519e-05,
|
774 |
+
"loss": 2.3725,
|
775 |
+
"step": 106
|
776 |
+
},
|
777 |
+
{
|
778 |
+
"epoch": 0.7379310344827587,
|
779 |
+
"grad_norm": 8.974847793579102,
|
780 |
+
"learning_rate": 2.929739769299009e-05,
|
781 |
+
"loss": 2.7679,
|
782 |
+
"step": 107
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 0.7448275862068966,
|
786 |
+
"grad_norm": 13.757139205932617,
|
787 |
+
"learning_rate": 2.927643948444142e-05,
|
788 |
+
"loss": 2.8373,
|
789 |
+
"step": 108
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.7517241379310344,
|
793 |
+
"grad_norm": 6.372509956359863,
|
794 |
+
"learning_rate": 2.925518098805005e-05,
|
795 |
+
"loss": 0.3335,
|
796 |
+
"step": 109
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 0.7586206896551724,
|
800 |
+
"grad_norm": 18.51079750061035,
|
801 |
+
"learning_rate": 2.9233622650963046e-05,
|
802 |
+
"loss": 3.7183,
|
803 |
+
"step": 110
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 0.7655172413793103,
|
807 |
+
"grad_norm": 7.130232810974121,
|
808 |
+
"learning_rate": 2.921176492663426e-05,
|
809 |
+
"loss": 2.7397,
|
810 |
+
"step": 111
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 0.7655172413793103,
|
814 |
+
"eval_loss": 2.076895236968994,
|
815 |
+
"eval_runtime": 4.5121,
|
816 |
+
"eval_samples_per_second": 1.773,
|
817 |
+
"eval_steps_per_second": 1.773,
|
818 |
+
"step": 111
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 0.7724137931034483,
|
822 |
+
"grad_norm": 5.484634876251221,
|
823 |
+
"learning_rate": 2.9189608274814813e-05,
|
824 |
+
"loss": 1.0504,
|
825 |
+
"step": 112
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 0.7793103448275862,
|
829 |
+
"grad_norm": 7.2361979484558105,
|
830 |
+
"learning_rate": 2.916715316154339e-05,
|
831 |
+
"loss": 1.2353,
|
832 |
+
"step": 113
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 0.7862068965517242,
|
836 |
+
"grad_norm": 5.681639194488525,
|
837 |
+
"learning_rate": 2.9144400059136457e-05,
|
838 |
+
"loss": 1.5471,
|
839 |
+
"step": 114
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 0.7931034482758621,
|
843 |
+
"grad_norm": 8.158857345581055,
|
844 |
+
"learning_rate": 2.9121349446178338e-05,
|
845 |
+
"loss": 2.4476,
|
846 |
+
"step": 115
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 0.8,
|
850 |
+
"grad_norm": 6.511702537536621,
|
851 |
+
"learning_rate": 2.909800180751112e-05,
|
852 |
+
"loss": 1.1023,
|
853 |
+
"step": 116
|
854 |
+
},
|
855 |
+
{
|
856 |
+
"epoch": 0.8068965517241379,
|
857 |
+
"grad_norm": 9.999719619750977,
|
858 |
+
"learning_rate": 2.907435763422449e-05,
|
859 |
+
"loss": 0.5992,
|
860 |
+
"step": 117
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 0.8137931034482758,
|
864 |
+
"grad_norm": 7.8701171875,
|
865 |
+
"learning_rate": 2.9050417423645374e-05,
|
866 |
+
"loss": 1.6095,
|
867 |
+
"step": 118
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 0.8206896551724138,
|
871 |
+
"grad_norm": 6.189757823944092,
|
872 |
+
"learning_rate": 2.9026181679327483e-05,
|
873 |
+
"loss": 1.5167,
|
874 |
+
"step": 119
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 0.8275862068965517,
|
878 |
+
"grad_norm": 17.398225784301758,
|
879 |
+
"learning_rate": 2.9001650911040744e-05,
|
880 |
+
"loss": 1.3394,
|
881 |
+
"step": 120
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 0.8344827586206897,
|
885 |
+
"grad_norm": 13.492450714111328,
|
886 |
+
"learning_rate": 2.897682563476054e-05,
|
887 |
+
"loss": 5.1631,
|
888 |
+
"step": 121
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 0.8413793103448276,
|
892 |
+
"grad_norm": 6.701801776885986,
|
893 |
+
"learning_rate": 2.8951706372656898e-05,
|
894 |
+
"loss": 1.4963,
|
895 |
+
"step": 122
|
896 |
+
},
|
897 |
+
{
|
898 |
+
"epoch": 0.8482758620689655,
|
899 |
+
"grad_norm": 11.134561538696289,
|
900 |
+
"learning_rate": 2.8926293653083475e-05,
|
901 |
+
"loss": 2.0888,
|
902 |
+
"step": 123
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 0.8551724137931035,
|
906 |
+
"grad_norm": 5.3243608474731445,
|
907 |
+
"learning_rate": 2.890058801056645e-05,
|
908 |
+
"loss": 1.9287,
|
909 |
+
"step": 124
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 0.8620689655172413,
|
913 |
+
"grad_norm": 5.231749057769775,
|
914 |
+
"learning_rate": 2.8874589985793298e-05,
|
915 |
+
"loss": 1.543,
|
916 |
+
"step": 125
|
917 |
+
},
|
918 |
+
{
|
919 |
+
"epoch": 0.8689655172413793,
|
920 |
+
"grad_norm": 29.016874313354492,
|
921 |
+
"learning_rate": 2.88483001256014e-05,
|
922 |
+
"loss": 3.8339,
|
923 |
+
"step": 126
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 0.8758620689655172,
|
927 |
+
"grad_norm": 5.226491451263428,
|
928 |
+
"learning_rate": 2.8821718982966544e-05,
|
929 |
+
"loss": 1.189,
|
930 |
+
"step": 127
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 0.8827586206896552,
|
934 |
+
"grad_norm": 5.349326133728027,
|
935 |
+
"learning_rate": 2.87948471169913e-05,
|
936 |
+
"loss": 0.4606,
|
937 |
+
"step": 128
|
938 |
+
},
|
939 |
+
{
|
940 |
+
"epoch": 0.8896551724137931,
|
941 |
+
"grad_norm": 8.602606773376465,
|
942 |
+
"learning_rate": 2.8767685092893244e-05,
|
943 |
+
"loss": 3.0269,
|
944 |
+
"step": 129
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 0.896551724137931,
|
948 |
+
"grad_norm": 8.23015308380127,
|
949 |
+
"learning_rate": 2.874023348199311e-05,
|
950 |
+
"loss": 1.2428,
|
951 |
+
"step": 130
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 0.903448275862069,
|
955 |
+
"grad_norm": 5.327670097351074,
|
956 |
+
"learning_rate": 2.8712492861702712e-05,
|
957 |
+
"loss": 0.9737,
|
958 |
+
"step": 131
|
959 |
+
},
|
960 |
+
{
|
961 |
+
"epoch": 0.9103448275862069,
|
962 |
+
"grad_norm": 4.516807556152344,
|
963 |
+
"learning_rate": 2.868446381551285e-05,
|
964 |
+
"loss": 1.2708,
|
965 |
+
"step": 132
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 0.9172413793103448,
|
969 |
+
"grad_norm": 7.308916091918945,
|
970 |
+
"learning_rate": 2.865614693298101e-05,
|
971 |
+
"loss": 2.5184,
|
972 |
+
"step": 133
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 0.9241379310344827,
|
976 |
+
"grad_norm": 7.566427230834961,
|
977 |
+
"learning_rate": 2.8627542809718972e-05,
|
978 |
+
"loss": 1.4915,
|
979 |
+
"step": 134
|
980 |
+
},
|
981 |
+
{
|
982 |
+
"epoch": 0.9310344827586207,
|
983 |
+
"grad_norm": 6.399407863616943,
|
984 |
+
"learning_rate": 2.8598652047380292e-05,
|
985 |
+
"loss": 1.9207,
|
986 |
+
"step": 135
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 0.9379310344827586,
|
990 |
+
"grad_norm": 5.2886786460876465,
|
991 |
+
"learning_rate": 2.8569475253647624e-05,
|
992 |
+
"loss": 1.0044,
|
993 |
+
"step": 136
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 0.9448275862068966,
|
997 |
+
"grad_norm": 4.2925310134887695,
|
998 |
+
"learning_rate": 2.854001304221995e-05,
|
999 |
+
"loss": 1.6515,
|
1000 |
+
"step": 137
|
1001 |
+
},
|
1002 |
+
{
|
1003 |
+
"epoch": 0.9517241379310345,
|
1004 |
+
"grad_norm": 3.5389490127563477,
|
1005 |
+
"learning_rate": 2.8510266032799688e-05,
|
1006 |
+
"loss": 0.624,
|
1007 |
+
"step": 138
|
1008 |
+
},
|
1009 |
+
{
|
1010 |
+
"epoch": 0.9586206896551724,
|
1011 |
+
"grad_norm": 5.259653568267822,
|
1012 |
+
"learning_rate": 2.8480234851079622e-05,
|
1013 |
+
"loss": 1.5153,
|
1014 |
+
"step": 139
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 0.9655172413793104,
|
1018 |
+
"grad_norm": 7.633677959442139,
|
1019 |
+
"learning_rate": 2.8449920128729772e-05,
|
1020 |
+
"loss": 1.6288,
|
1021 |
+
"step": 140
|
1022 |
+
},
|
1023 |
+
{
|
1024 |
+
"epoch": 0.9724137931034482,
|
1025 |
+
"grad_norm": 7.951615333557129,
|
1026 |
+
"learning_rate": 2.841932250338409e-05,
|
1027 |
+
"loss": 2.4153,
|
1028 |
+
"step": 141
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 0.9793103448275862,
|
1032 |
+
"grad_norm": 4.297111511230469,
|
1033 |
+
"learning_rate": 2.8388442618627063e-05,
|
1034 |
+
"loss": 0.4714,
|
1035 |
+
"step": 142
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 0.9862068965517241,
|
1039 |
+
"grad_norm": 5.56075382232666,
|
1040 |
+
"learning_rate": 2.8357281123980153e-05,
|
1041 |
+
"loss": 1.3144,
|
1042 |
+
"step": 143
|
1043 |
+
},
|
1044 |
+
{
|
1045 |
+
"epoch": 0.993103448275862,
|
1046 |
+
"grad_norm": 7.056431293487549,
|
1047 |
+
"learning_rate": 2.8325838674888168e-05,
|
1048 |
+
"loss": 2.9863,
|
1049 |
+
"step": 144
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 1.0,
|
1053 |
+
"grad_norm": 5.265207290649414,
|
1054 |
+
"learning_rate": 2.829411593270545e-05,
|
1055 |
+
"loss": 1.8668,
|
1056 |
+
"step": 145
|
1057 |
+
},
|
1058 |
+
{
|
1059 |
+
"epoch": 1.006896551724138,
|
1060 |
+
"grad_norm": 6.738914966583252,
|
1061 |
+
"learning_rate": 2.826211356468196e-05,
|
1062 |
+
"loss": 1.6213,
|
1063 |
+
"step": 146
|
1064 |
+
},
|
1065 |
+
{
|
1066 |
+
"epoch": 1.013793103448276,
|
1067 |
+
"grad_norm": 19.16160774230957,
|
1068 |
+
"learning_rate": 2.822983224394926e-05,
|
1069 |
+
"loss": 1.2061,
|
1070 |
+
"step": 147
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 1.0206896551724138,
|
1074 |
+
"grad_norm": 6.643246173858643,
|
1075 |
+
"learning_rate": 2.8197272649506363e-05,
|
1076 |
+
"loss": 1.936,
|
1077 |
+
"step": 148
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 1.0206896551724138,
|
1081 |
+
"eval_loss": 1.9735311269760132,
|
1082 |
+
"eval_runtime": 4.4975,
|
1083 |
+
"eval_samples_per_second": 1.779,
|
1084 |
+
"eval_steps_per_second": 1.779,
|
1085 |
+
"step": 148
|
1086 |
+
},
|
1087 |
+
{
|
1088 |
+
"epoch": 1.0275862068965518,
|
1089 |
+
"grad_norm": 5.578238010406494,
|
1090 |
+
"learning_rate": 2.8164435466205423e-05,
|
1091 |
+
"loss": 1.7389,
|
1092 |
+
"step": 149
|
1093 |
+
},
|
1094 |
+
{
|
1095 |
+
"epoch": 1.0344827586206897,
|
1096 |
+
"grad_norm": 10.583780288696289,
|
1097 |
+
"learning_rate": 2.8131321384737344e-05,
|
1098 |
+
"loss": 0.4309,
|
1099 |
+
"step": 150
|
1100 |
+
},
|
1101 |
+
{
|
1102 |
+
"epoch": 1.0413793103448277,
|
1103 |
+
"grad_norm": 7.088948726654053,
|
1104 |
+
"learning_rate": 2.809793110161725e-05,
|
1105 |
+
"loss": 2.5514,
|
1106 |
+
"step": 151
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 1.0482758620689656,
|
1110 |
+
"grad_norm": 5.819264888763428,
|
1111 |
+
"learning_rate": 2.8064265319169854e-05,
|
1112 |
+
"loss": 1.3072,
|
1113 |
+
"step": 152
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 1.0551724137931036,
|
1117 |
+
"grad_norm": 6.2393364906311035,
|
1118 |
+
"learning_rate": 2.803032474551465e-05,
|
1119 |
+
"loss": 1.2324,
|
1120 |
+
"step": 153
|
1121 |
+
},
|
1122 |
+
{
|
1123 |
+
"epoch": 1.0620689655172413,
|
1124 |
+
"grad_norm": 4.304983139038086,
|
1125 |
+
"learning_rate": 2.799611009455104e-05,
|
1126 |
+
"loss": 0.1901,
|
1127 |
+
"step": 154
|
1128 |
+
},
|
1129 |
+
{
|
1130 |
+
"epoch": 1.0689655172413792,
|
1131 |
+
"grad_norm": 5.9356865882873535,
|
1132 |
+
"learning_rate": 2.7961622085943317e-05,
|
1133 |
+
"loss": 1.7746,
|
1134 |
+
"step": 155
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 1.0758620689655172,
|
1138 |
+
"grad_norm": 5.441093444824219,
|
1139 |
+
"learning_rate": 2.792686144510553e-05,
|
1140 |
+
"loss": 1.9543,
|
1141 |
+
"step": 156
|
1142 |
+
},
|
1143 |
+
{
|
1144 |
+
"epoch": 1.0827586206896551,
|
1145 |
+
"grad_norm": 6.648105144500732,
|
1146 |
+
"learning_rate": 2.789182890318621e-05,
|
1147 |
+
"loss": 2.7205,
|
1148 |
+
"step": 157
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 1.089655172413793,
|
1152 |
+
"grad_norm": 44.886863708496094,
|
1153 |
+
"learning_rate": 2.785652519705301e-05,
|
1154 |
+
"loss": 3.465,
|
1155 |
+
"step": 158
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 1.096551724137931,
|
1159 |
+
"grad_norm": 5.482683181762695,
|
1160 |
+
"learning_rate": 2.78209510692772e-05,
|
1161 |
+
"loss": 1.4479,
|
1162 |
+
"step": 159
|
1163 |
+
},
|
1164 |
+
{
|
1165 |
+
"epoch": 1.103448275862069,
|
1166 |
+
"grad_norm": 7.18867826461792,
|
1167 |
+
"learning_rate": 2.778510726811804e-05,
|
1168 |
+
"loss": 2.3233,
|
1169 |
+
"step": 160
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 1.110344827586207,
|
1173 |
+
"grad_norm": 10.170475006103516,
|
1174 |
+
"learning_rate": 2.7748994547507052e-05,
|
1175 |
+
"loss": 1.4287,
|
1176 |
+
"step": 161
|
1177 |
+
},
|
1178 |
+
{
|
1179 |
+
"epoch": 1.1172413793103448,
|
1180 |
+
"grad_norm": 16.519548416137695,
|
1181 |
+
"learning_rate": 2.7712613667032156e-05,
|
1182 |
+
"loss": 2.0423,
|
1183 |
+
"step": 162
|
1184 |
+
},
|
1185 |
+
{
|
1186 |
+
"epoch": 1.1241379310344828,
|
1187 |
+
"grad_norm": 6.548756122589111,
|
1188 |
+
"learning_rate": 2.7675965391921692e-05,
|
1189 |
+
"loss": 0.8162,
|
1190 |
+
"step": 163
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 1.1310344827586207,
|
1194 |
+
"grad_norm": 10.879814147949219,
|
1195 |
+
"learning_rate": 2.763905049302833e-05,
|
1196 |
+
"loss": 2.0672,
|
1197 |
+
"step": 164
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 1.1379310344827587,
|
1201 |
+
"grad_norm": 6.071365833282471,
|
1202 |
+
"learning_rate": 2.7601869746812855e-05,
|
1203 |
+
"loss": 1.5196,
|
1204 |
+
"step": 165
|
1205 |
+
},
|
1206 |
+
{
|
1207 |
+
"epoch": 1.1448275862068966,
|
1208 |
+
"grad_norm": 6.293059349060059,
|
1209 |
+
"learning_rate": 2.7564423935327817e-05,
|
1210 |
+
"loss": 0.7617,
|
1211 |
+
"step": 166
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 1.1517241379310346,
|
1215 |
+
"grad_norm": 8.047264099121094,
|
1216 |
+
"learning_rate": 2.7526713846201118e-05,
|
1217 |
+
"loss": 0.4147,
|
1218 |
+
"step": 167
|
1219 |
+
},
|
1220 |
+
{
|
1221 |
+
"epoch": 1.1586206896551725,
|
1222 |
+
"grad_norm": 3.7810680866241455,
|
1223 |
+
"learning_rate": 2.7488740272619413e-05,
|
1224 |
+
"loss": 1.0664,
|
1225 |
+
"step": 168
|
1226 |
+
},
|
1227 |
+
{
|
1228 |
+
"epoch": 1.1655172413793102,
|
1229 |
+
"grad_norm": 6.20160436630249,
|
1230 |
+
"learning_rate": 2.7450504013311443e-05,
|
1231 |
+
"loss": 1.9879,
|
1232 |
+
"step": 169
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 1.1724137931034484,
|
1236 |
+
"grad_norm": 6.690729141235352,
|
1237 |
+
"learning_rate": 2.7412005872531222e-05,
|
1238 |
+
"loss": 1.4968,
|
1239 |
+
"step": 170
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 1.1793103448275861,
|
1243 |
+
"grad_norm": 9.275552749633789,
|
1244 |
+
"learning_rate": 2.737324666004113e-05,
|
1245 |
+
"loss": 4.3534,
|
1246 |
+
"step": 171
|
1247 |
+
},
|
1248 |
+
{
|
1249 |
+
"epoch": 1.186206896551724,
|
1250 |
+
"grad_norm": 5.3003106117248535,
|
1251 |
+
"learning_rate": 2.7334227191094885e-05,
|
1252 |
+
"loss": 0.9354,
|
1253 |
+
"step": 172
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 1.193103448275862,
|
1257 |
+
"grad_norm": 6.302150726318359,
|
1258 |
+
"learning_rate": 2.729494828642038e-05,
|
1259 |
+
"loss": 1.2665,
|
1260 |
+
"step": 173
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 1.2,
|
1264 |
+
"grad_norm": 7.4209303855896,
|
1265 |
+
"learning_rate": 2.7255410772202435e-05,
|
1266 |
+
"loss": 1.5308,
|
1267 |
+
"step": 174
|
1268 |
+
},
|
1269 |
+
{
|
1270 |
+
"epoch": 1.206896551724138,
|
1271 |
+
"grad_norm": 8.516342163085938,
|
1272 |
+
"learning_rate": 2.7215615480065415e-05,
|
1273 |
+
"loss": 1.1144,
|
1274 |
+
"step": 175
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 1.2137931034482758,
|
1278 |
+
"grad_norm": 4.906225204467773,
|
1279 |
+
"learning_rate": 2.7175563247055723e-05,
|
1280 |
+
"loss": 2.0357,
|
1281 |
+
"step": 176
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 1.2206896551724138,
|
1285 |
+
"grad_norm": 5.213315010070801,
|
1286 |
+
"learning_rate": 2.7135254915624213e-05,
|
1287 |
+
"loss": 1.6,
|
1288 |
+
"step": 177
|
1289 |
+
},
|
1290 |
+
{
|
1291 |
+
"epoch": 1.2275862068965517,
|
1292 |
+
"grad_norm": 6.571521282196045,
|
1293 |
+
"learning_rate": 2.709469133360847e-05,
|
1294 |
+
"loss": 1.4624,
|
1295 |
+
"step": 178
|
1296 |
+
},
|
1297 |
+
{
|
1298 |
+
"epoch": 1.2344827586206897,
|
1299 |
+
"grad_norm": 3.46243953704834,
|
1300 |
+
"learning_rate": 2.7053873354214957e-05,
|
1301 |
+
"loss": 0.3171,
|
1302 |
+
"step": 179
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 1.2413793103448276,
|
1306 |
+
"grad_norm": 5.865048885345459,
|
1307 |
+
"learning_rate": 2.7012801836001098e-05,
|
1308 |
+
"loss": 1.9204,
|
1309 |
+
"step": 180
|
1310 |
+
},
|
1311 |
+
{
|
1312 |
+
"epoch": 1.2482758620689656,
|
1313 |
+
"grad_norm": 6.989517688751221,
|
1314 |
+
"learning_rate": 2.6971477642857185e-05,
|
1315 |
+
"loss": 1.518,
|
1316 |
+
"step": 181
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 1.2551724137931035,
|
1320 |
+
"grad_norm": 4.894804000854492,
|
1321 |
+
"learning_rate": 2.6929901643988237e-05,
|
1322 |
+
"loss": 0.8945,
|
1323 |
+
"step": 182
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 1.2620689655172415,
|
1327 |
+
"grad_norm": 4.024252414703369,
|
1328 |
+
"learning_rate": 2.6888074713895705e-05,
|
1329 |
+
"loss": 0.9237,
|
1330 |
+
"step": 183
|
1331 |
+
},
|
1332 |
+
{
|
1333 |
+
"epoch": 1.2689655172413792,
|
1334 |
+
"grad_norm": 6.457338333129883,
|
1335 |
+
"learning_rate": 2.6845997732359074e-05,
|
1336 |
+
"loss": 2.3232,
|
1337 |
+
"step": 184
|
1338 |
+
},
|
1339 |
+
{
|
1340 |
+
"epoch": 1.2758620689655173,
|
1341 |
+
"grad_norm": 7.112627029418945,
|
1342 |
+
"learning_rate": 2.680367158441736e-05,
|
1343 |
+
"loss": 0.2386,
|
1344 |
+
"step": 185
|
1345 |
+
},
|
1346 |
+
{
|
1347 |
+
"epoch": 1.2758620689655173,
|
1348 |
+
"eval_loss": 1.9213309288024902,
|
1349 |
+
"eval_runtime": 4.497,
|
1350 |
+
"eval_samples_per_second": 1.779,
|
1351 |
+
"eval_steps_per_second": 1.779,
|
1352 |
+
"step": 185
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 1.282758620689655,
|
1356 |
+
"grad_norm": 15.904428482055664,
|
1357 |
+
"learning_rate": 2.676109716035051e-05,
|
1358 |
+
"loss": 1.914,
|
1359 |
+
"step": 186
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 1.2896551724137932,
|
1363 |
+
"grad_norm": 6.568241596221924,
|
1364 |
+
"learning_rate": 2.6718275355660643e-05,
|
1365 |
+
"loss": 0.952,
|
1366 |
+
"step": 187
|
1367 |
+
},
|
1368 |
+
{
|
1369 |
+
"epoch": 1.296551724137931,
|
1370 |
+
"grad_norm": 10.139225959777832,
|
1371 |
+
"learning_rate": 2.667520707105325e-05,
|
1372 |
+
"loss": 2.1507,
|
1373 |
+
"step": 188
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 1.303448275862069,
|
1377 |
+
"grad_norm": 6.300340175628662,
|
1378 |
+
"learning_rate": 2.6631893212418227e-05,
|
1379 |
+
"loss": 1.8095,
|
1380 |
+
"step": 189
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 1.3103448275862069,
|
1384 |
+
"grad_norm": 4.754003047943115,
|
1385 |
+
"learning_rate": 2.6588334690810826e-05,
|
1386 |
+
"loss": 1.2223,
|
1387 |
+
"step": 190
|
1388 |
+
},
|
1389 |
+
{
|
1390 |
+
"epoch": 1.3172413793103448,
|
1391 |
+
"grad_norm": 5.433348655700684,
|
1392 |
+
"learning_rate": 2.654453242243249e-05,
|
1393 |
+
"loss": 0.9192,
|
1394 |
+
"step": 191
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 1.3241379310344827,
|
1398 |
+
"grad_norm": 14.02868366241455,
|
1399 |
+
"learning_rate": 2.6500487328611584e-05,
|
1400 |
+
"loss": 1.642,
|
1401 |
+
"step": 192
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 1.3310344827586207,
|
1405 |
+
"grad_norm": 4.654847621917725,
|
1406 |
+
"learning_rate": 2.645620033578402e-05,
|
1407 |
+
"loss": 1.6479,
|
1408 |
+
"step": 193
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"epoch": 1.3379310344827586,
|
1412 |
+
"grad_norm": 6.280045509338379,
|
1413 |
+
"learning_rate": 2.6411672375473768e-05,
|
1414 |
+
"loss": 1.9089,
|
1415 |
+
"step": 194
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 1.3448275862068966,
|
1419 |
+
"grad_norm": 6.455976486206055,
|
1420 |
+
"learning_rate": 2.6366904384273252e-05,
|
1421 |
+
"loss": 0.8846,
|
1422 |
+
"step": 195
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 1.3517241379310345,
|
1426 |
+
"grad_norm": 13.289530754089355,
|
1427 |
+
"learning_rate": 2.6321897303823665e-05,
|
1428 |
+
"loss": 1.32,
|
1429 |
+
"step": 196
|
1430 |
+
},
|
1431 |
+
{
|
1432 |
+
"epoch": 1.3586206896551725,
|
1433 |
+
"grad_norm": 16.279457092285156,
|
1434 |
+
"learning_rate": 2.6276652080795157e-05,
|
1435 |
+
"loss": 0.7443,
|
1436 |
+
"step": 197
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 1.3655172413793104,
|
1440 |
+
"grad_norm": 5.546213626861572,
|
1441 |
+
"learning_rate": 2.6231169666866928e-05,
|
1442 |
+
"loss": 1.777,
|
1443 |
+
"step": 198
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 1.3724137931034484,
|
1447 |
+
"grad_norm": 6.5098748207092285,
|
1448 |
+
"learning_rate": 2.6185451018707188e-05,
|
1449 |
+
"loss": 0.1505,
|
1450 |
+
"step": 199
|
1451 |
+
},
|
1452 |
+
{
|
1453 |
+
"epoch": 1.3793103448275863,
|
1454 |
+
"grad_norm": 7.808483123779297,
|
1455 |
+
"learning_rate": 2.613949709795307e-05,
|
1456 |
+
"loss": 2.0242,
|
1457 |
+
"step": 200
|
1458 |
+
},
|
1459 |
+
{
|
1460 |
+
"epoch": 1.386206896551724,
|
1461 |
+
"grad_norm": 19.0113582611084,
|
1462 |
+
"learning_rate": 2.6093308871190376e-05,
|
1463 |
+
"loss": 0.5734,
|
1464 |
+
"step": 201
|
1465 |
+
},
|
1466 |
+
{
|
1467 |
+
"epoch": 1.3931034482758622,
|
1468 |
+
"grad_norm": 5.4320268630981445,
|
1469 |
+
"learning_rate": 2.6046887309933252e-05,
|
1470 |
+
"loss": 1.9298,
|
1471 |
+
"step": 202
|
1472 |
+
},
|
1473 |
+
{
|
1474 |
+
"epoch": 1.4,
|
1475 |
+
"grad_norm": 5.639513969421387,
|
1476 |
+
"learning_rate": 2.6000233390603764e-05,
|
1477 |
+
"loss": 2.1008,
|
1478 |
+
"step": 203
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 1.4068965517241379,
|
1482 |
+
"grad_norm": 6.506295680999756,
|
1483 |
+
"learning_rate": 2.595334809451135e-05,
|
1484 |
+
"loss": 2.0629,
|
1485 |
+
"step": 204
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 1.4137931034482758,
|
1489 |
+
"grad_norm": 6.257269382476807,
|
1490 |
+
"learning_rate": 2.590623240783217e-05,
|
1491 |
+
"loss": 0.9089,
|
1492 |
+
"step": 205
|
1493 |
+
},
|
1494 |
+
{
|
1495 |
+
"epoch": 1.4206896551724137,
|
1496 |
+
"grad_norm": 7.4428534507751465,
|
1497 |
+
"learning_rate": 2.5858887321588403e-05,
|
1498 |
+
"loss": 1.6967,
|
1499 |
+
"step": 206
|
1500 |
+
},
|
1501 |
+
{
|
1502 |
+
"epoch": 1.4275862068965517,
|
1503 |
+
"grad_norm": 7.234190464019775,
|
1504 |
+
"learning_rate": 2.5811313831627343e-05,
|
1505 |
+
"loss": 1.1008,
|
1506 |
+
"step": 207
|
1507 |
+
},
|
1508 |
+
{
|
1509 |
+
"epoch": 1.4344827586206896,
|
1510 |
+
"grad_norm": 4.542428493499756,
|
1511 |
+
"learning_rate": 2.5763512938600496e-05,
|
1512 |
+
"loss": 1.0296,
|
1513 |
+
"step": 208
|
1514 |
+
},
|
1515 |
+
{
|
1516 |
+
"epoch": 1.4413793103448276,
|
1517 |
+
"grad_norm": 4.9460978507995605,
|
1518 |
+
"learning_rate": 2.5715485647942526e-05,
|
1519 |
+
"loss": 1.2251,
|
1520 |
+
"step": 209
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 1.4482758620689655,
|
1524 |
+
"grad_norm": 8.297338485717773,
|
1525 |
+
"learning_rate": 2.566723296985009e-05,
|
1526 |
+
"loss": 1.244,
|
1527 |
+
"step": 210
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 1.4551724137931035,
|
1531 |
+
"grad_norm": 5.6764326095581055,
|
1532 |
+
"learning_rate": 2.561875591926061e-05,
|
1533 |
+
"loss": 2.075,
|
1534 |
+
"step": 211
|
1535 |
+
},
|
1536 |
+
{
|
1537 |
+
"epoch": 1.4620689655172414,
|
1538 |
+
"grad_norm": 7.905850410461426,
|
1539 |
+
"learning_rate": 2.55700555158309e-05,
|
1540 |
+
"loss": 1.1372,
|
1541 |
+
"step": 212
|
1542 |
+
},
|
1543 |
+
{
|
1544 |
+
"epoch": 1.4689655172413794,
|
1545 |
+
"grad_norm": 7.2166523933410645,
|
1546 |
+
"learning_rate": 2.552113278391575e-05,
|
1547 |
+
"loss": 0.8753,
|
1548 |
+
"step": 213
|
1549 |
+
},
|
1550 |
+
{
|
1551 |
+
"epoch": 1.4758620689655173,
|
1552 |
+
"grad_norm": 16.44755744934082,
|
1553 |
+
"learning_rate": 2.5471988752546358e-05,
|
1554 |
+
"loss": 1.3347,
|
1555 |
+
"step": 214
|
1556 |
+
},
|
1557 |
+
{
|
1558 |
+
"epoch": 1.4827586206896552,
|
1559 |
+
"grad_norm": 6.070692539215088,
|
1560 |
+
"learning_rate": 2.542262445540869e-05,
|
1561 |
+
"loss": 1.7499,
|
1562 |
+
"step": 215
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 1.489655172413793,
|
1566 |
+
"grad_norm": 7.000082492828369,
|
1567 |
+
"learning_rate": 2.5373040930821747e-05,
|
1568 |
+
"loss": 2.1478,
|
1569 |
+
"step": 216
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 1.4965517241379311,
|
1573 |
+
"grad_norm": 7.349568843841553,
|
1574 |
+
"learning_rate": 2.5323239221715704e-05,
|
1575 |
+
"loss": 1.4035,
|
1576 |
+
"step": 217
|
1577 |
+
},
|
1578 |
+
{
|
1579 |
+
"epoch": 1.5034482758620689,
|
1580 |
+
"grad_norm": 6.242449760437012,
|
1581 |
+
"learning_rate": 2.5273220375609993e-05,
|
1582 |
+
"loss": 1.4238,
|
1583 |
+
"step": 218
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 1.510344827586207,
|
1587 |
+
"grad_norm": 5.620000839233398,
|
1588 |
+
"learning_rate": 2.5222985444591268e-05,
|
1589 |
+
"loss": 1.3079,
|
1590 |
+
"step": 219
|
1591 |
+
},
|
1592 |
+
{
|
1593 |
+
"epoch": 1.5172413793103448,
|
1594 |
+
"grad_norm": 4.874967098236084,
|
1595 |
+
"learning_rate": 2.5172535485291263e-05,
|
1596 |
+
"loss": 0.5889,
|
1597 |
+
"step": 220
|
1598 |
+
},
|
1599 |
+
{
|
1600 |
+
"epoch": 1.524137931034483,
|
1601 |
+
"grad_norm": 13.453874588012695,
|
1602 |
+
"learning_rate": 2.5121871558864588e-05,
|
1603 |
+
"loss": 3.2711,
|
1604 |
+
"step": 221
|
1605 |
+
},
|
1606 |
+
{
|
1607 |
+
"epoch": 1.5310344827586206,
|
1608 |
+
"grad_norm": 24.48921775817871,
|
1609 |
+
"learning_rate": 2.5070994730966375e-05,
|
1610 |
+
"loss": 2.8233,
|
1611 |
+
"step": 222
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 1.5310344827586206,
|
1615 |
+
"eval_loss": 1.8946478366851807,
|
1616 |
+
"eval_runtime": 4.54,
|
1617 |
+
"eval_samples_per_second": 1.762,
|
1618 |
+
"eval_steps_per_second": 1.762,
|
1619 |
+
"step": 222
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 1.5379310344827586,
|
1623 |
+
"grad_norm": 4.243319034576416,
|
1624 |
+
"learning_rate": 2.5019906071729905e-05,
|
1625 |
+
"loss": 0.4053,
|
1626 |
+
"step": 223
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 1.5448275862068965,
|
1630 |
+
"grad_norm": 9.057891845703125,
|
1631 |
+
"learning_rate": 2.496860665574406e-05,
|
1632 |
+
"loss": 2.5334,
|
1633 |
+
"step": 224
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 1.5517241379310345,
|
1637 |
+
"grad_norm": 8.277237892150879,
|
1638 |
+
"learning_rate": 2.4917097562030756e-05,
|
1639 |
+
"loss": 2.1032,
|
1640 |
+
"step": 225
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 1.5586206896551724,
|
1644 |
+
"grad_norm": 4.527651786804199,
|
1645 |
+
"learning_rate": 2.4865379874022212e-05,
|
1646 |
+
"loss": 0.6529,
|
1647 |
+
"step": 226
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 1.5655172413793104,
|
1651 |
+
"grad_norm": 4.352250099182129,
|
1652 |
+
"learning_rate": 2.4813454679538192e-05,
|
1653 |
+
"loss": 0.2521,
|
1654 |
+
"step": 227
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 1.5724137931034483,
|
1658 |
+
"grad_norm": 5.923490524291992,
|
1659 |
+
"learning_rate": 2.4761323070763103e-05,
|
1660 |
+
"loss": 1.8706,
|
1661 |
+
"step": 228
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 1.5793103448275863,
|
1665 |
+
"grad_norm": 6.146652698516846,
|
1666 |
+
"learning_rate": 2.4708986144223038e-05,
|
1667 |
+
"loss": 1.4523,
|
1668 |
+
"step": 229
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 1.5862068965517242,
|
1672 |
+
"grad_norm": 8.59493350982666,
|
1673 |
+
"learning_rate": 2.4656445000762695e-05,
|
1674 |
+
"loss": 2.0485,
|
1675 |
+
"step": 230
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 1.593103448275862,
|
1679 |
+
"grad_norm": 14.89201545715332,
|
1680 |
+
"learning_rate": 2.4603700745522238e-05,
|
1681 |
+
"loss": 1.6968,
|
1682 |
+
"step": 231
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 1.6,
|
1686 |
+
"grad_norm": 7.599427700042725,
|
1687 |
+
"learning_rate": 2.455075448791403e-05,
|
1688 |
+
"loss": 0.5584,
|
1689 |
+
"step": 232
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 1.6068965517241378,
|
1693 |
+
"grad_norm": 6.137027263641357,
|
1694 |
+
"learning_rate": 2.4497607341599338e-05,
|
1695 |
+
"loss": 1.2578,
|
1696 |
+
"step": 233
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 1.613793103448276,
|
1700 |
+
"grad_norm": 13.683157920837402,
|
1701 |
+
"learning_rate": 2.444426042446486e-05,
|
1702 |
+
"loss": 0.3959,
|
1703 |
+
"step": 234
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 1.6206896551724137,
|
1707 |
+
"grad_norm": 6.342459201812744,
|
1708 |
+
"learning_rate": 2.439071485859924e-05,
|
1709 |
+
"loss": 1.5216,
|
1710 |
+
"step": 235
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 1.6275862068965519,
|
1714 |
+
"grad_norm": 4.803065776824951,
|
1715 |
+
"learning_rate": 2.433697177026947e-05,
|
1716 |
+
"loss": 1.2224,
|
1717 |
+
"step": 236
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 1.6344827586206896,
|
1721 |
+
"grad_norm": 19.011320114135742,
|
1722 |
+
"learning_rate": 2.4283032289897184e-05,
|
1723 |
+
"loss": 2.417,
|
1724 |
+
"step": 237
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 1.6413793103448275,
|
1728 |
+
"grad_norm": 13.680153846740723,
|
1729 |
+
"learning_rate": 2.4228897552034885e-05,
|
1730 |
+
"loss": 1.0688,
|
1731 |
+
"step": 238
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 1.6482758620689655,
|
1735 |
+
"grad_norm": 5.316374778747559,
|
1736 |
+
"learning_rate": 2.417456869534209e-05,
|
1737 |
+
"loss": 1.804,
|
1738 |
+
"step": 239
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 1.6551724137931034,
|
1742 |
+
"grad_norm": 4.965254783630371,
|
1743 |
+
"learning_rate": 2.4120046862561367e-05,
|
1744 |
+
"loss": 1.0666,
|
1745 |
+
"step": 240
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 1.6620689655172414,
|
1749 |
+
"grad_norm": 5.786849498748779,
|
1750 |
+
"learning_rate": 2.406533320049431e-05,
|
1751 |
+
"loss": 1.4944,
|
1752 |
+
"step": 241
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 1.6689655172413793,
|
1756 |
+
"grad_norm": 6.54045295715332,
|
1757 |
+
"learning_rate": 2.4010428859977416e-05,
|
1758 |
+
"loss": 0.9506,
|
1759 |
+
"step": 242
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 1.6758620689655173,
|
1763 |
+
"grad_norm": 8.71989631652832,
|
1764 |
+
"learning_rate": 2.3955334995857866e-05,
|
1765 |
+
"loss": 1.8664,
|
1766 |
+
"step": 243
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 1.6827586206896552,
|
1770 |
+
"grad_norm": 7.771244525909424,
|
1771 |
+
"learning_rate": 2.3900052766969252e-05,
|
1772 |
+
"loss": 2.7829,
|
1773 |
+
"step": 244
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 1.6896551724137931,
|
1777 |
+
"grad_norm": 13.747180938720703,
|
1778 |
+
"learning_rate": 2.3844583336107192e-05,
|
1779 |
+
"loss": 0.6658,
|
1780 |
+
"step": 245
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 1.6965517241379309,
|
1784 |
+
"grad_norm": 8.790626525878906,
|
1785 |
+
"learning_rate": 2.378892787000487e-05,
|
1786 |
+
"loss": 1.6198,
|
1787 |
+
"step": 246
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 1.703448275862069,
|
1791 |
+
"grad_norm": 6.457479000091553,
|
1792 |
+
"learning_rate": 2.37330875393085e-05,
|
1793 |
+
"loss": 2.0938,
|
1794 |
+
"step": 247
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 1.7103448275862068,
|
1798 |
+
"grad_norm": 3.5511231422424316,
|
1799 |
+
"learning_rate": 2.3677063518552706e-05,
|
1800 |
+
"loss": 1.3691,
|
1801 |
+
"step": 248
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 1.717241379310345,
|
1805 |
+
"grad_norm": 4.779417037963867,
|
1806 |
+
"learning_rate": 2.3620856986135807e-05,
|
1807 |
+
"loss": 1.4682,
|
1808 |
+
"step": 249
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 1.7241379310344827,
|
1812 |
+
"grad_norm": 10.626018524169922,
|
1813 |
+
"learning_rate": 2.356446912429504e-05,
|
1814 |
+
"loss": 1.7604,
|
1815 |
+
"step": 250
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 1.7310344827586208,
|
1819 |
+
"grad_norm": 9.10898208618164,
|
1820 |
+
"learning_rate": 2.3507901119081694e-05,
|
1821 |
+
"loss": 0.4235,
|
1822 |
+
"step": 251
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 1.7379310344827585,
|
1826 |
+
"grad_norm": 6.013878345489502,
|
1827 |
+
"learning_rate": 2.3451154160336145e-05,
|
1828 |
+
"loss": 1.2361,
|
1829 |
+
"step": 252
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 1.7448275862068967,
|
1833 |
+
"grad_norm": 6.5278401374816895,
|
1834 |
+
"learning_rate": 2.3394229441662863e-05,
|
1835 |
+
"loss": 2.053,
|
1836 |
+
"step": 253
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 1.7517241379310344,
|
1840 |
+
"grad_norm": 6.2794623374938965,
|
1841 |
+
"learning_rate": 2.3337128160405262e-05,
|
1842 |
+
"loss": 0.772,
|
1843 |
+
"step": 254
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 1.7586206896551724,
|
1847 |
+
"grad_norm": 7.884958744049072,
|
1848 |
+
"learning_rate": 2.3279851517620567e-05,
|
1849 |
+
"loss": 1.3663,
|
1850 |
+
"step": 255
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 1.7655172413793103,
|
1854 |
+
"grad_norm": 6.92486047744751,
|
1855 |
+
"learning_rate": 2.322240071805449e-05,
|
1856 |
+
"loss": 1.3793,
|
1857 |
+
"step": 256
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 1.7724137931034483,
|
1861 |
+
"grad_norm": 6.688532829284668,
|
1862 |
+
"learning_rate": 2.3164776970115952e-05,
|
1863 |
+
"loss": 2.1226,
|
1864 |
+
"step": 257
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 1.7793103448275862,
|
1868 |
+
"grad_norm": 5.486979007720947,
|
1869 |
+
"learning_rate": 2.310698148585162e-05,
|
1870 |
+
"loss": 1.8741,
|
1871 |
+
"step": 258
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 1.7862068965517242,
|
1875 |
+
"grad_norm": 4.790956497192383,
|
1876 |
+
"learning_rate": 2.3049015480920432e-05,
|
1877 |
+
"loss": 1.1631,
|
1878 |
+
"step": 259
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 1.7862068965517242,
|
1882 |
+
"eval_loss": 1.9128004312515259,
|
1883 |
+
"eval_runtime": 4.4978,
|
1884 |
+
"eval_samples_per_second": 1.779,
|
1885 |
+
"eval_steps_per_second": 1.779,
|
1886 |
+
"step": 259
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 1.793103448275862,
|
1890 |
+
"grad_norm": 7.004488945007324,
|
1891 |
+
"learning_rate": 2.299088017456803e-05,
|
1892 |
+
"loss": 1.5968,
|
1893 |
+
"step": 260
|
1894 |
+
},
|
1895 |
+
{
|
1896 |
+
"epoch": 1.8,
|
1897 |
+
"grad_norm": 9.21987533569336,
|
1898 |
+
"learning_rate": 2.29325767896011e-05,
|
1899 |
+
"loss": 1.7426,
|
1900 |
+
"step": 261
|
1901 |
+
},
|
1902 |
+
{
|
1903 |
+
"epoch": 1.806896551724138,
|
1904 |
+
"grad_norm": 7.149972915649414,
|
1905 |
+
"learning_rate": 2.2874106552361672e-05,
|
1906 |
+
"loss": 1.2684,
|
1907 |
+
"step": 262
|
1908 |
+
},
|
1909 |
+
{
|
1910 |
+
"epoch": 1.8137931034482757,
|
1911 |
+
"grad_norm": 4.868863105773926,
|
1912 |
+
"learning_rate": 2.2815470692701305e-05,
|
1913 |
+
"loss": 0.6387,
|
1914 |
+
"step": 263
|
1915 |
+
},
|
1916 |
+
{
|
1917 |
+
"epoch": 1.8206896551724139,
|
1918 |
+
"grad_norm": 7.658527851104736,
|
1919 |
+
"learning_rate": 2.2756670443955236e-05,
|
1920 |
+
"loss": 1.2035,
|
1921 |
+
"step": 264
|
1922 |
+
},
|
1923 |
+
{
|
1924 |
+
"epoch": 1.8275862068965516,
|
1925 |
+
"grad_norm": 4.457070827484131,
|
1926 |
+
"learning_rate": 2.2697707042916415e-05,
|
1927 |
+
"loss": 1.492,
|
1928 |
+
"step": 265
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 1.8344827586206898,
|
1932 |
+
"grad_norm": 3.999518394470215,
|
1933 |
+
"learning_rate": 2.2638581729809522e-05,
|
1934 |
+
"loss": 0.3712,
|
1935 |
+
"step": 266
|
1936 |
+
},
|
1937 |
+
{
|
1938 |
+
"epoch": 1.8413793103448275,
|
1939 |
+
"grad_norm": 5.254199504852295,
|
1940 |
+
"learning_rate": 2.2579295748264856e-05,
|
1941 |
+
"loss": 1.5827,
|
1942 |
+
"step": 267
|
1943 |
+
},
|
1944 |
+
{
|
1945 |
+
"epoch": 1.8482758620689657,
|
1946 |
+
"grad_norm": 11.072293281555176,
|
1947 |
+
"learning_rate": 2.2519850345292192e-05,
|
1948 |
+
"loss": 1.5692,
|
1949 |
+
"step": 268
|
1950 |
+
},
|
1951 |
+
{
|
1952 |
+
"epoch": 1.8551724137931034,
|
1953 |
+
"grad_norm": 9.097825050354004,
|
1954 |
+
"learning_rate": 2.2460246771254525e-05,
|
1955 |
+
"loss": 2.0791,
|
1956 |
+
"step": 269
|
1957 |
+
},
|
1958 |
+
{
|
1959 |
+
"epoch": 1.8620689655172413,
|
1960 |
+
"grad_norm": 15.463027954101562,
|
1961 |
+
"learning_rate": 2.2400486279841812e-05,
|
1962 |
+
"loss": 2.0508,
|
1963 |
+
"step": 270
|
1964 |
+
},
|
1965 |
+
{
|
1966 |
+
"epoch": 1.8689655172413793,
|
1967 |
+
"grad_norm": 8.5389404296875,
|
1968 |
+
"learning_rate": 2.2340570128044567e-05,
|
1969 |
+
"loss": 0.9089,
|
1970 |
+
"step": 271
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 1.8758620689655172,
|
1974 |
+
"grad_norm": 7.47584867477417,
|
1975 |
+
"learning_rate": 2.228049957612744e-05,
|
1976 |
+
"loss": 1.6641,
|
1977 |
+
"step": 272
|
1978 |
+
},
|
1979 |
+
{
|
1980 |
+
"epoch": 1.8827586206896552,
|
1981 |
+
"grad_norm": 5.4179253578186035,
|
1982 |
+
"learning_rate": 2.2220275887602688e-05,
|
1983 |
+
"loss": 1.9974,
|
1984 |
+
"step": 273
|
1985 |
+
},
|
1986 |
+
{
|
1987 |
+
"epoch": 1.889655172413793,
|
1988 |
+
"grad_norm": 20.747957229614258,
|
1989 |
+
"learning_rate": 2.2159900329203642e-05,
|
1990 |
+
"loss": 3.0228,
|
1991 |
+
"step": 274
|
1992 |
+
},
|
1993 |
+
{
|
1994 |
+
"epoch": 1.896551724137931,
|
1995 |
+
"grad_norm": 8.873815536499023,
|
1996 |
+
"learning_rate": 2.2099374170858004e-05,
|
1997 |
+
"loss": 1.7806,
|
1998 |
+
"step": 275
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"epoch": 1.903448275862069,
|
2002 |
+
"grad_norm": 5.834484100341797,
|
2003 |
+
"learning_rate": 2.2038698685661188e-05,
|
2004 |
+
"loss": 1.2638,
|
2005 |
+
"step": 276
|
2006 |
+
},
|
2007 |
+
{
|
2008 |
+
"epoch": 1.910344827586207,
|
2009 |
+
"grad_norm": 5.626514911651611,
|
2010 |
+
"learning_rate": 2.197787514984951e-05,
|
2011 |
+
"loss": 1.2453,
|
2012 |
+
"step": 277
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 1.9172413793103447,
|
2016 |
+
"grad_norm": 5.62680196762085,
|
2017 |
+
"learning_rate": 2.1916904842773355e-05,
|
2018 |
+
"loss": 1.6145,
|
2019 |
+
"step": 278
|
2020 |
+
},
|
2021 |
+
{
|
2022 |
+
"epoch": 1.9241379310344828,
|
2023 |
+
"grad_norm": 10.727760314941406,
|
2024 |
+
"learning_rate": 2.1855789046870265e-05,
|
2025 |
+
"loss": 0.7303,
|
2026 |
+
"step": 279
|
2027 |
+
},
|
2028 |
+
{
|
2029 |
+
"epoch": 1.9310344827586206,
|
2030 |
+
"grad_norm": 4.86237907409668,
|
2031 |
+
"learning_rate": 2.1794529047637962e-05,
|
2032 |
+
"loss": 0.8277,
|
2033 |
+
"step": 280
|
2034 |
+
},
|
2035 |
+
{
|
2036 |
+
"epoch": 1.9379310344827587,
|
2037 |
+
"grad_norm": 5.81272554397583,
|
2038 |
+
"learning_rate": 2.1733126133607333e-05,
|
2039 |
+
"loss": 1.3026,
|
2040 |
+
"step": 281
|
2041 |
+
},
|
2042 |
+
{
|
2043 |
+
"epoch": 1.9448275862068964,
|
2044 |
+
"grad_norm": 7.906366348266602,
|
2045 |
+
"learning_rate": 2.1671581596315277e-05,
|
2046 |
+
"loss": 1.6814,
|
2047 |
+
"step": 282
|
2048 |
+
},
|
2049 |
+
{
|
2050 |
+
"epoch": 1.9517241379310346,
|
2051 |
+
"grad_norm": 4.704112529754639,
|
2052 |
+
"learning_rate": 2.160989673027759e-05,
|
2053 |
+
"loss": 0.6912,
|
2054 |
+
"step": 283
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 1.9586206896551723,
|
2058 |
+
"grad_norm": 4.953239440917969,
|
2059 |
+
"learning_rate": 2.154807283296171e-05,
|
2060 |
+
"loss": 0.1418,
|
2061 |
+
"step": 284
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 1.9655172413793105,
|
2065 |
+
"grad_norm": 5.499814033508301,
|
2066 |
+
"learning_rate": 2.1486111204759425e-05,
|
2067 |
+
"loss": 1.0075,
|
2068 |
+
"step": 285
|
2069 |
+
},
|
2070 |
+
{
|
2071 |
+
"epoch": 1.9724137931034482,
|
2072 |
+
"grad_norm": 5.502691268920898,
|
2073 |
+
"learning_rate": 2.1424013148959535e-05,
|
2074 |
+
"loss": 1.6252,
|
2075 |
+
"step": 286
|
2076 |
+
},
|
2077 |
+
{
|
2078 |
+
"epoch": 1.9793103448275862,
|
2079 |
+
"grad_norm": 9.957716941833496,
|
2080 |
+
"learning_rate": 2.1361779971720438e-05,
|
2081 |
+
"loss": 1.0677,
|
2082 |
+
"step": 287
|
2083 |
+
},
|
2084 |
+
{
|
2085 |
+
"epoch": 1.986206896551724,
|
2086 |
+
"grad_norm": 4.3258280754089355,
|
2087 |
+
"learning_rate": 2.129941298204263e-05,
|
2088 |
+
"loss": 1.0192,
|
2089 |
+
"step": 288
|
2090 |
+
},
|
2091 |
+
{
|
2092 |
+
"epoch": 1.993103448275862,
|
2093 |
+
"grad_norm": 7.173874855041504,
|
2094 |
+
"learning_rate": 2.1236913491741212e-05,
|
2095 |
+
"loss": 0.1295,
|
2096 |
+
"step": 289
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 2.0,
|
2100 |
+
"grad_norm": 5.360743045806885,
|
2101 |
+
"learning_rate": 2.117428281541827e-05,
|
2102 |
+
"loss": 0.8945,
|
2103 |
+
"step": 290
|
2104 |
+
}
|
2105 |
+
],
|
2106 |
+
"logging_steps": 1,
|
2107 |
+
"max_steps": 725,
|
2108 |
+
"num_input_tokens_seen": 0,
|
2109 |
+
"num_train_epochs": 5,
|
2110 |
+
"save_steps": 145,
|
2111 |
+
"stateful_callbacks": {
|
2112 |
+
"TrainerControl": {
|
2113 |
+
"args": {
|
2114 |
+
"should_epoch_stop": false,
|
2115 |
+
"should_evaluate": false,
|
2116 |
+
"should_log": false,
|
2117 |
+
"should_save": true,
|
2118 |
+
"should_training_stop": false
|
2119 |
+
},
|
2120 |
+
"attributes": {}
|
2121 |
+
}
|
2122 |
+
},
|
2123 |
+
"total_flos": 2.4562668925845504e+16,
|
2124 |
+
"train_batch_size": 1,
|
2125 |
+
"trial_name": null,
|
2126 |
+
"trial_params": null
|
2127 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fe082c16a4442c3738d8fa1acaa674e77377aca169e78f17b58470c403a65121
|
3 |
+
size 5944
|