add slake
Browse files- SLAKEQformer/README.md +202 -0
- SLAKEQformer/adapter_config.json +41 -0
- SLAKEQformer/adapter_model.safetensors +3 -0
- SLAKEQformer/training_args.bin +3 -0
- checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/README.md +202 -0
- checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/adapter_config.json +41 -0
- checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/adapter_model.safetensors +3 -0
- checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/optimizer.pt +3 -0
- checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/rng_state.pth +3 -0
- checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/scheduler.pt +3 -0
- checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/trainer_state.json +961 -0
- checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/training_args.bin +3 -0
SLAKEQformer/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: /workspace/ROCO_pmc_llava-v1.6-mistral_qfomer
|
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 0.10.1.dev0
|
SLAKEQformer/adapter_config.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "LlavaMistralForCausalLM",
|
5 |
+
"parent_library": "llava.model.language_model.llava_mistral"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": "/workspace/ROCO_pmc_llava-v1.6-mistral_qfomer",
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 64,
|
17 |
+
"lora_dropout": 0.1,
|
18 |
+
"megatron_config": null,
|
19 |
+
"megatron_core": "megatron.core",
|
20 |
+
"modules_to_save": [
|
21 |
+
"mm_projector",
|
22 |
+
"query_tokens",
|
23 |
+
"post_projection",
|
24 |
+
"projection"
|
25 |
+
],
|
26 |
+
"peft_type": "LORA",
|
27 |
+
"r": 32,
|
28 |
+
"rank_pattern": {},
|
29 |
+
"revision": null,
|
30 |
+
"target_modules": [
|
31 |
+
"down_proj",
|
32 |
+
"q_proj",
|
33 |
+
"v_proj",
|
34 |
+
"up_proj",
|
35 |
+
"gate_proj",
|
36 |
+
"k_proj"
|
37 |
+
],
|
38 |
+
"task_type": null,
|
39 |
+
"use_dora": false,
|
40 |
+
"use_rslora": false
|
41 |
+
}
|
SLAKEQformer/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76f48565332da35719c306688363069a9e90ddc7e7ad1b8cd787311e08dff637
|
3 |
+
size 206932176
|
SLAKEQformer/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c952e743fb5bb7660f1301baa3dd9076ecdf5d57bf7bc408bd3a4a151cdb3ea4
|
3 |
+
size 4792
|
checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: /workspace/ROCO_pmc_llava-v1.6-mistral_qfomer
|
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 0.10.1.dev0
|
checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/adapter_config.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "LlavaMistralForCausalLM",
|
5 |
+
"parent_library": "llava.model.language_model.llava_mistral"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": "/workspace/ROCO_pmc_llava-v1.6-mistral_qfomer",
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 64,
|
17 |
+
"lora_dropout": 0.1,
|
18 |
+
"megatron_config": null,
|
19 |
+
"megatron_core": "megatron.core",
|
20 |
+
"modules_to_save": [
|
21 |
+
"mm_projector",
|
22 |
+
"query_tokens",
|
23 |
+
"post_projection",
|
24 |
+
"projection"
|
25 |
+
],
|
26 |
+
"peft_type": "LORA",
|
27 |
+
"r": 32,
|
28 |
+
"rank_pattern": {},
|
29 |
+
"revision": null,
|
30 |
+
"target_modules": [
|
31 |
+
"down_proj",
|
32 |
+
"q_proj",
|
33 |
+
"v_proj",
|
34 |
+
"up_proj",
|
35 |
+
"gate_proj",
|
36 |
+
"k_proj"
|
37 |
+
],
|
38 |
+
"task_type": null,
|
39 |
+
"use_dora": false,
|
40 |
+
"use_rslora": false
|
41 |
+
}
|
checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76f48565332da35719c306688363069a9e90ddc7e7ad1b8cd787311e08dff637
|
3 |
+
size 206932176
|
checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3f60f205907fcb609ee9b15df875089977f7cad526f5396e9c6bd52fb7257b00
|
3 |
+
size 386239326
|
checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:42ab200adcc7415adf5d1c3b0962cf45153ed2fce54d7a4e6cc88dd98282e329
|
3 |
+
size 14244
|
checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d0f7a4ac76cf8abf095b00db440d71d496a5c29a0354356b04dd83c0f5f74c50
|
3 |
+
size 1000
|
checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/trainer_state.json
ADDED
@@ -0,0 +1,961 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.24133720993995667,
|
3 |
+
"best_model_checkpoint": "/workspace/checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150",
|
4 |
+
"epoch": 0.975609756097561,
|
5 |
+
"eval_steps": 30,
|
6 |
+
"global_step": 150,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"learning_rate": 8.000000000000001e-06,
|
14 |
+
"loss": 2.3594,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.01,
|
19 |
+
"learning_rate": 1.6000000000000003e-05,
|
20 |
+
"loss": 2.6094,
|
21 |
+
"step": 2
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.02,
|
25 |
+
"learning_rate": 2.4e-05,
|
26 |
+
"loss": 1.5859,
|
27 |
+
"step": 3
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.03,
|
31 |
+
"learning_rate": 3.2000000000000005e-05,
|
32 |
+
"loss": 1.3438,
|
33 |
+
"step": 4
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.03,
|
37 |
+
"learning_rate": 4e-05,
|
38 |
+
"loss": 0.7969,
|
39 |
+
"step": 5
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.04,
|
43 |
+
"learning_rate": 3.999549432349539e-05,
|
44 |
+
"loss": 0.7383,
|
45 |
+
"step": 6
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.05,
|
49 |
+
"learning_rate": 3.998197932409364e-05,
|
50 |
+
"loss": 1.1797,
|
51 |
+
"step": 7
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.05,
|
55 |
+
"learning_rate": 3.9959461091216256e-05,
|
56 |
+
"loss": 0.582,
|
57 |
+
"step": 8
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.06,
|
61 |
+
"learning_rate": 3.9927949770850535e-05,
|
62 |
+
"loss": 0.5625,
|
63 |
+
"step": 9
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.07,
|
67 |
+
"learning_rate": 3.988745956097806e-05,
|
68 |
+
"loss": 0.5273,
|
69 |
+
"step": 10
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.07,
|
73 |
+
"learning_rate": 3.9838008705177537e-05,
|
74 |
+
"loss": 0.6641,
|
75 |
+
"step": 11
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.08,
|
79 |
+
"learning_rate": 3.977961948440491e-05,
|
80 |
+
"loss": 0.7266,
|
81 |
+
"step": 12
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.08,
|
85 |
+
"learning_rate": 3.971231820695417e-05,
|
86 |
+
"loss": 0.8281,
|
87 |
+
"step": 13
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.09,
|
91 |
+
"learning_rate": 3.963613519660379e-05,
|
92 |
+
"loss": 0.5664,
|
93 |
+
"step": 14
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.1,
|
97 |
+
"learning_rate": 3.955110477895373e-05,
|
98 |
+
"loss": 0.7891,
|
99 |
+
"step": 15
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.1,
|
103 |
+
"learning_rate": 3.945726526595949e-05,
|
104 |
+
"loss": 0.4141,
|
105 |
+
"step": 16
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.11,
|
109 |
+
"learning_rate": 3.935465893866998e-05,
|
110 |
+
"loss": 0.6328,
|
111 |
+
"step": 17
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.12,
|
115 |
+
"learning_rate": 3.924333202817699e-05,
|
116 |
+
"loss": 0.6211,
|
117 |
+
"step": 18
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.12,
|
121 |
+
"learning_rate": 3.912333469478502e-05,
|
122 |
+
"loss": 0.3438,
|
123 |
+
"step": 19
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.13,
|
127 |
+
"learning_rate": 3.899472100541064e-05,
|
128 |
+
"loss": 0.4531,
|
129 |
+
"step": 20
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.14,
|
133 |
+
"learning_rate": 3.885754890922169e-05,
|
134 |
+
"loss": 0.9258,
|
135 |
+
"step": 21
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.14,
|
139 |
+
"learning_rate": 3.8711880211527244e-05,
|
140 |
+
"loss": 0.4023,
|
141 |
+
"step": 22
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.15,
|
145 |
+
"learning_rate": 3.8557780545930194e-05,
|
146 |
+
"loss": 0.4453,
|
147 |
+
"step": 23
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.16,
|
151 |
+
"learning_rate": 3.8395319344754776e-05,
|
152 |
+
"loss": 0.4766,
|
153 |
+
"step": 24
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.16,
|
157 |
+
"learning_rate": 3.822456980776272e-05,
|
158 |
+
"loss": 0.3887,
|
159 |
+
"step": 25
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.17,
|
163 |
+
"learning_rate": 3.804560886917171e-05,
|
164 |
+
"loss": 0.4062,
|
165 |
+
"step": 26
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.18,
|
169 |
+
"learning_rate": 3.7858517162991375e-05,
|
170 |
+
"loss": 0.4863,
|
171 |
+
"step": 27
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.18,
|
175 |
+
"learning_rate": 3.766337898669219e-05,
|
176 |
+
"loss": 0.3926,
|
177 |
+
"step": 28
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.19,
|
181 |
+
"learning_rate": 3.7460282263223764e-05,
|
182 |
+
"loss": 0.3965,
|
183 |
+
"step": 29
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.2,
|
187 |
+
"learning_rate": 3.7249318501399613e-05,
|
188 |
+
"loss": 0.4355,
|
189 |
+
"step": 30
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.2,
|
193 |
+
"eval_loss": 0.4406982958316803,
|
194 |
+
"eval_runtime": 6292.7173,
|
195 |
+
"eval_samples_per_second": 0.167,
|
196 |
+
"eval_steps_per_second": 0.084,
|
197 |
+
"step": 30
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 0.2,
|
201 |
+
"learning_rate": 3.703058275466623e-05,
|
202 |
+
"loss": 0.4922,
|
203 |
+
"step": 31
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 0.21,
|
207 |
+
"learning_rate": 3.6804173578275094e-05,
|
208 |
+
"loss": 0.4688,
|
209 |
+
"step": 32
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 0.21,
|
213 |
+
"learning_rate": 3.657019298487685e-05,
|
214 |
+
"loss": 0.3711,
|
215 |
+
"step": 33
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 0.22,
|
219 |
+
"learning_rate": 3.6328746398557715e-05,
|
220 |
+
"loss": 0.3438,
|
221 |
+
"step": 34
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.23,
|
225 |
+
"learning_rate": 3.607994260733881e-05,
|
226 |
+
"loss": 0.6016,
|
227 |
+
"step": 35
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.23,
|
231 |
+
"learning_rate": 3.582389371415977e-05,
|
232 |
+
"loss": 0.3672,
|
233 |
+
"step": 36
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.24,
|
237 |
+
"learning_rate": 3.556071508636879e-05,
|
238 |
+
"loss": 0.5547,
|
239 |
+
"step": 37
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.25,
|
243 |
+
"learning_rate": 3.529052530374185e-05,
|
244 |
+
"loss": 0.2969,
|
245 |
+
"step": 38
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 0.25,
|
249 |
+
"learning_rate": 3.5013446105054486e-05,
|
250 |
+
"loss": 0.3223,
|
251 |
+
"step": 39
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 0.26,
|
255 |
+
"learning_rate": 3.472960233323025e-05,
|
256 |
+
"loss": 0.4219,
|
257 |
+
"step": 40
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.27,
|
261 |
+
"learning_rate": 3.443912187909049e-05,
|
262 |
+
"loss": 0.4336,
|
263 |
+
"step": 41
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.27,
|
267 |
+
"learning_rate": 3.4142135623730954e-05,
|
268 |
+
"loss": 0.3984,
|
269 |
+
"step": 42
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.28,
|
273 |
+
"learning_rate": 3.3838777379550926e-05,
|
274 |
+
"loss": 0.2354,
|
275 |
+
"step": 43
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.29,
|
279 |
+
"learning_rate": 3.352918382996174e-05,
|
280 |
+
"loss": 0.4336,
|
281 |
+
"step": 44
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.29,
|
285 |
+
"learning_rate": 3.321349446780163e-05,
|
286 |
+
"loss": 0.3457,
|
287 |
+
"step": 45
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 0.3,
|
291 |
+
"learning_rate": 3.2891851532484784e-05,
|
292 |
+
"loss": 0.5039,
|
293 |
+
"step": 46
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 0.31,
|
297 |
+
"learning_rate": 3.256439994591285e-05,
|
298 |
+
"loss": 0.3184,
|
299 |
+
"step": 47
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 0.31,
|
303 |
+
"learning_rate": 3.223128724717783e-05,
|
304 |
+
"loss": 0.3613,
|
305 |
+
"step": 48
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.32,
|
309 |
+
"learning_rate": 3.189266352608574e-05,
|
310 |
+
"loss": 0.2949,
|
311 |
+
"step": 49
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.33,
|
315 |
+
"learning_rate": 3.1548681355530966e-05,
|
316 |
+
"loss": 0.5195,
|
317 |
+
"step": 50
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.33,
|
321 |
+
"learning_rate": 3.1199495722751914e-05,
|
322 |
+
"loss": 0.2354,
|
323 |
+
"step": 51
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 0.34,
|
327 |
+
"learning_rate": 3.084526395949871e-05,
|
328 |
+
"loss": 0.3945,
|
329 |
+
"step": 52
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 0.34,
|
333 |
+
"learning_rate": 3.0486145671144637e-05,
|
334 |
+
"loss": 0.3066,
|
335 |
+
"step": 53
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 0.35,
|
339 |
+
"learning_rate": 3.012230266477313e-05,
|
340 |
+
"loss": 0.3926,
|
341 |
+
"step": 54
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 0.36,
|
345 |
+
"learning_rate": 2.9753898876272695e-05,
|
346 |
+
"loss": 0.4102,
|
347 |
+
"step": 55
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 0.36,
|
351 |
+
"learning_rate": 2.9381100296472742e-05,
|
352 |
+
"loss": 0.2871,
|
353 |
+
"step": 56
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.37,
|
357 |
+
"learning_rate": 2.9004074896353468e-05,
|
358 |
+
"loss": 0.2656,
|
359 |
+
"step": 57
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.38,
|
363 |
+
"learning_rate": 2.862299255136357e-05,
|
364 |
+
"loss": 0.4492,
|
365 |
+
"step": 58
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 0.38,
|
369 |
+
"learning_rate": 2.8238024964879857e-05,
|
370 |
+
"loss": 0.3379,
|
371 |
+
"step": 59
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 0.39,
|
375 |
+
"learning_rate": 2.7849345590843276e-05,
|
376 |
+
"loss": 0.377,
|
377 |
+
"step": 60
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 0.39,
|
381 |
+
"eval_loss": 0.34713810682296753,
|
382 |
+
"eval_runtime": 6307.1462,
|
383 |
+
"eval_samples_per_second": 0.167,
|
384 |
+
"eval_steps_per_second": 0.084,
|
385 |
+
"step": 60
|
386 |
+
},
|
387 |
+
{
|
388 |
+
"epoch": 0.4,
|
389 |
+
"learning_rate": 2.7457129555606177e-05,
|
390 |
+
"loss": 0.209,
|
391 |
+
"step": 61
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 0.4,
|
395 |
+
"learning_rate": 2.7061553579026017e-05,
|
396 |
+
"loss": 0.2617,
|
397 |
+
"step": 62
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 0.41,
|
401 |
+
"learning_rate": 2.6662795894841155e-05,
|
402 |
+
"loss": 0.291,
|
403 |
+
"step": 63
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.42,
|
407 |
+
"learning_rate": 2.6261036170364448e-05,
|
408 |
+
"loss": 0.2451,
|
409 |
+
"step": 64
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.42,
|
413 |
+
"learning_rate": 2.585645542553101e-05,
|
414 |
+
"loss": 0.5625,
|
415 |
+
"step": 65
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.43,
|
419 |
+
"learning_rate": 2.5449235951336458e-05,
|
420 |
+
"loss": 0.2158,
|
421 |
+
"step": 66
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 0.44,
|
425 |
+
"learning_rate": 2.5039561227702507e-05,
|
426 |
+
"loss": 0.3145,
|
427 |
+
"step": 67
|
428 |
+
},
|
429 |
+
{
|
430 |
+
"epoch": 0.44,
|
431 |
+
"learning_rate": 2.4627615840806837e-05,
|
432 |
+
"loss": 0.3145,
|
433 |
+
"step": 68
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 0.45,
|
437 |
+
"learning_rate": 2.4213585399914528e-05,
|
438 |
+
"loss": 0.2617,
|
439 |
+
"step": 69
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"epoch": 0.46,
|
443 |
+
"learning_rate": 2.3797656453748567e-05,
|
444 |
+
"loss": 0.4473,
|
445 |
+
"step": 70
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 0.46,
|
449 |
+
"learning_rate": 2.3380016406436986e-05,
|
450 |
+
"loss": 0.3184,
|
451 |
+
"step": 71
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.47,
|
455 |
+
"learning_rate": 2.296085343307463e-05,
|
456 |
+
"loss": 0.2949,
|
457 |
+
"step": 72
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.47,
|
461 |
+
"learning_rate": 2.2540356394937577e-05,
|
462 |
+
"loss": 0.4062,
|
463 |
+
"step": 73
|
464 |
+
},
|
465 |
+
{
|
466 |
+
"epoch": 0.48,
|
467 |
+
"learning_rate": 2.2118714754388323e-05,
|
468 |
+
"loss": 0.5195,
|
469 |
+
"step": 74
|
470 |
+
},
|
471 |
+
{
|
472 |
+
"epoch": 0.49,
|
473 |
+
"learning_rate": 2.1696118489510186e-05,
|
474 |
+
"loss": 0.373,
|
475 |
+
"step": 75
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 0.49,
|
479 |
+
"learning_rate": 2.127275800850933e-05,
|
480 |
+
"loss": 0.3301,
|
481 |
+
"step": 76
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 0.5,
|
485 |
+
"learning_rate": 2.084882406392297e-05,
|
486 |
+
"loss": 0.3047,
|
487 |
+
"step": 77
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 0.51,
|
491 |
+
"learning_rate": 2.0424507666672473e-05,
|
492 |
+
"loss": 0.2578,
|
493 |
+
"step": 78
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.51,
|
497 |
+
"learning_rate": 2e-05,
|
498 |
+
"loss": 0.2852,
|
499 |
+
"step": 79
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.52,
|
503 |
+
"learning_rate": 1.957549233332753e-05,
|
504 |
+
"loss": 0.2314,
|
505 |
+
"step": 80
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.53,
|
509 |
+
"learning_rate": 1.915117593607704e-05,
|
510 |
+
"loss": 0.3164,
|
511 |
+
"step": 81
|
512 |
+
},
|
513 |
+
{
|
514 |
+
"epoch": 0.53,
|
515 |
+
"learning_rate": 1.8727241991490674e-05,
|
516 |
+
"loss": 0.291,
|
517 |
+
"step": 82
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"epoch": 0.54,
|
521 |
+
"learning_rate": 1.8303881510489824e-05,
|
522 |
+
"loss": 0.3613,
|
523 |
+
"step": 83
|
524 |
+
},
|
525 |
+
{
|
526 |
+
"epoch": 0.55,
|
527 |
+
"learning_rate": 1.788128524561168e-05,
|
528 |
+
"loss": 0.2158,
|
529 |
+
"step": 84
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.55,
|
533 |
+
"learning_rate": 1.7459643605062427e-05,
|
534 |
+
"loss": 0.5234,
|
535 |
+
"step": 85
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.56,
|
539 |
+
"learning_rate": 1.7039146566925376e-05,
|
540 |
+
"loss": 0.3613,
|
541 |
+
"step": 86
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.57,
|
545 |
+
"learning_rate": 1.6619983593563024e-05,
|
546 |
+
"loss": 0.2871,
|
547 |
+
"step": 87
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 0.57,
|
551 |
+
"learning_rate": 1.6202343546251432e-05,
|
552 |
+
"loss": 0.2363,
|
553 |
+
"step": 88
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 0.58,
|
557 |
+
"learning_rate": 1.578641460008548e-05,
|
558 |
+
"loss": 0.2021,
|
559 |
+
"step": 89
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 0.59,
|
563 |
+
"learning_rate": 1.5372384159193173e-05,
|
564 |
+
"loss": 0.2676,
|
565 |
+
"step": 90
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 0.59,
|
569 |
+
"eval_loss": 0.2674311399459839,
|
570 |
+
"eval_runtime": 6309.5363,
|
571 |
+
"eval_samples_per_second": 0.167,
|
572 |
+
"eval_steps_per_second": 0.084,
|
573 |
+
"step": 90
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 0.59,
|
577 |
+
"learning_rate": 1.4960438772297501e-05,
|
578 |
+
"loss": 0.2637,
|
579 |
+
"step": 91
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.6,
|
583 |
+
"learning_rate": 1.4550764048663547e-05,
|
584 |
+
"loss": 0.2559,
|
585 |
+
"step": 92
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.6,
|
589 |
+
"learning_rate": 1.4143544574468995e-05,
|
590 |
+
"loss": 0.2451,
|
591 |
+
"step": 93
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.61,
|
595 |
+
"learning_rate": 1.3738963829635559e-05,
|
596 |
+
"loss": 0.2305,
|
597 |
+
"step": 94
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.62,
|
601 |
+
"learning_rate": 1.333720410515885e-05,
|
602 |
+
"loss": 0.1494,
|
603 |
+
"step": 95
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.62,
|
607 |
+
"learning_rate": 1.2938446420973984e-05,
|
608 |
+
"loss": 0.1875,
|
609 |
+
"step": 96
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.63,
|
613 |
+
"learning_rate": 1.2542870444393831e-05,
|
614 |
+
"loss": 0.4883,
|
615 |
+
"step": 97
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.64,
|
619 |
+
"learning_rate": 1.2150654409156725e-05,
|
620 |
+
"loss": 0.248,
|
621 |
+
"step": 98
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 0.64,
|
625 |
+
"learning_rate": 1.176197503512015e-05,
|
626 |
+
"loss": 0.1709,
|
627 |
+
"step": 99
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.65,
|
631 |
+
"learning_rate": 1.1377007448636434e-05,
|
632 |
+
"loss": 0.2295,
|
633 |
+
"step": 100
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.66,
|
637 |
+
"learning_rate": 1.0995925103646532e-05,
|
638 |
+
"loss": 0.2988,
|
639 |
+
"step": 101
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.66,
|
643 |
+
"learning_rate": 1.0618899703527265e-05,
|
644 |
+
"loss": 0.332,
|
645 |
+
"step": 102
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 0.67,
|
649 |
+
"learning_rate": 1.0246101123727315e-05,
|
650 |
+
"loss": 0.2119,
|
651 |
+
"step": 103
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 0.68,
|
655 |
+
"learning_rate": 9.877697335226872e-06,
|
656 |
+
"loss": 0.1865,
|
657 |
+
"step": 104
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.68,
|
661 |
+
"learning_rate": 9.51385432885537e-06,
|
662 |
+
"loss": 0.3418,
|
663 |
+
"step": 105
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 0.69,
|
667 |
+
"learning_rate": 9.1547360405013e-06,
|
668 |
+
"loss": 0.2061,
|
669 |
+
"step": 106
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.7,
|
673 |
+
"learning_rate": 8.800504277248094e-06,
|
674 |
+
"loss": 0.2188,
|
675 |
+
"step": 107
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.7,
|
679 |
+
"learning_rate": 8.451318644469037e-06,
|
680 |
+
"loss": 0.3438,
|
681 |
+
"step": 108
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.71,
|
685 |
+
"learning_rate": 8.10733647391427e-06,
|
686 |
+
"loss": 0.3457,
|
687 |
+
"step": 109
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 0.72,
|
691 |
+
"learning_rate": 7.768712752822179e-06,
|
692 |
+
"loss": 0.2217,
|
693 |
+
"step": 110
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 0.72,
|
697 |
+
"learning_rate": 7.435600054087153e-06,
|
698 |
+
"loss": 0.2275,
|
699 |
+
"step": 111
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.73,
|
703 |
+
"learning_rate": 7.108148467515217e-06,
|
704 |
+
"loss": 0.3984,
|
705 |
+
"step": 112
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 0.73,
|
709 |
+
"learning_rate": 6.7865055321983754e-06,
|
710 |
+
"loss": 0.1797,
|
711 |
+
"step": 113
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.74,
|
715 |
+
"learning_rate": 6.4708161700382655e-06,
|
716 |
+
"loss": 0.3203,
|
717 |
+
"step": 114
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.75,
|
721 |
+
"learning_rate": 6.161222620449079e-06,
|
722 |
+
"loss": 0.2227,
|
723 |
+
"step": 115
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.75,
|
727 |
+
"learning_rate": 5.857864376269051e-06,
|
728 |
+
"loss": 0.2354,
|
729 |
+
"step": 116
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.76,
|
733 |
+
"learning_rate": 5.560878120909512e-06,
|
734 |
+
"loss": 0.1816,
|
735 |
+
"step": 117
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 0.77,
|
739 |
+
"learning_rate": 5.2703976667697575e-06,
|
740 |
+
"loss": 0.5,
|
741 |
+
"step": 118
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 0.77,
|
745 |
+
"learning_rate": 4.986553894945512e-06,
|
746 |
+
"loss": 0.2002,
|
747 |
+
"step": 119
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 0.78,
|
751 |
+
"learning_rate": 4.709474696258154e-06,
|
752 |
+
"loss": 0.3242,
|
753 |
+
"step": 120
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.78,
|
757 |
+
"eval_loss": 0.24586248397827148,
|
758 |
+
"eval_runtime": 6268.6185,
|
759 |
+
"eval_samples_per_second": 0.168,
|
760 |
+
"eval_steps_per_second": 0.084,
|
761 |
+
"step": 120
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 0.79,
|
765 |
+
"learning_rate": 4.439284913631215e-06,
|
766 |
+
"loss": 0.2598,
|
767 |
+
"step": 121
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 0.79,
|
771 |
+
"learning_rate": 4.176106285840229e-06,
|
772 |
+
"loss": 0.2031,
|
773 |
+
"step": 122
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 0.8,
|
777 |
+
"learning_rate": 3.920057392661192e-06,
|
778 |
+
"loss": 0.2598,
|
779 |
+
"step": 123
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.81,
|
783 |
+
"learning_rate": 3.6712536014422885e-06,
|
784 |
+
"loss": 0.2363,
|
785 |
+
"step": 124
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 0.81,
|
789 |
+
"learning_rate": 3.429807015123159e-06,
|
790 |
+
"loss": 0.2441,
|
791 |
+
"step": 125
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 0.82,
|
795 |
+
"learning_rate": 3.1958264217249145e-06,
|
796 |
+
"loss": 0.2119,
|
797 |
+
"step": 126
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 0.83,
|
801 |
+
"learning_rate": 2.9694172453337743e-06,
|
802 |
+
"loss": 0.332,
|
803 |
+
"step": 127
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 0.83,
|
807 |
+
"learning_rate": 2.7506814986003937e-06,
|
808 |
+
"loss": 0.3105,
|
809 |
+
"step": 128
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.84,
|
813 |
+
"learning_rate": 2.539717736776237e-06,
|
814 |
+
"loss": 0.1367,
|
815 |
+
"step": 129
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 0.85,
|
819 |
+
"learning_rate": 2.3366210133078136e-06,
|
820 |
+
"loss": 0.2598,
|
821 |
+
"step": 130
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.85,
|
825 |
+
"learning_rate": 2.1414828370086326e-06,
|
826 |
+
"loss": 0.2256,
|
827 |
+
"step": 131
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 0.86,
|
831 |
+
"learning_rate": 1.9543911308282992e-06,
|
832 |
+
"loss": 0.1982,
|
833 |
+
"step": 132
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 0.87,
|
837 |
+
"learning_rate": 1.775430192237284e-06,
|
838 |
+
"loss": 0.1406,
|
839 |
+
"step": 133
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 0.87,
|
843 |
+
"learning_rate": 1.6046806552452254e-06,
|
844 |
+
"loss": 0.3027,
|
845 |
+
"step": 134
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 0.88,
|
849 |
+
"learning_rate": 1.442219454069813e-06,
|
850 |
+
"loss": 0.4297,
|
851 |
+
"step": 135
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 0.88,
|
855 |
+
"learning_rate": 1.2881197884727592e-06,
|
856 |
+
"loss": 0.2715,
|
857 |
+
"step": 136
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 0.89,
|
861 |
+
"learning_rate": 1.142451090778316e-06,
|
862 |
+
"loss": 0.334,
|
863 |
+
"step": 137
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.9,
|
867 |
+
"learning_rate": 1.0052789945893625e-06,
|
868 |
+
"loss": 0.3242,
|
869 |
+
"step": 138
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 0.9,
|
873 |
+
"learning_rate": 8.766653052149831e-07,
|
874 |
+
"loss": 0.2676,
|
875 |
+
"step": 139
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 0.91,
|
879 |
+
"learning_rate": 7.56667971823013e-07,
|
880 |
+
"loss": 0.2578,
|
881 |
+
"step": 140
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 0.92,
|
885 |
+
"learning_rate": 6.453410613300226e-07,
|
886 |
+
"loss": 0.1514,
|
887 |
+
"step": 141
|
888 |
+
},
|
889 |
+
{
|
890 |
+
"epoch": 0.92,
|
891 |
+
"learning_rate": 5.427347340405087e-07,
|
892 |
+
"loss": 0.1953,
|
893 |
+
"step": 142
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 0.93,
|
897 |
+
"learning_rate": 4.4889522104627715e-07,
|
898 |
+
"loss": 0.3125,
|
899 |
+
"step": 143
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 0.94,
|
903 |
+
"learning_rate": 3.6386480339621886e-07,
|
904 |
+
"loss": 0.2441,
|
905 |
+
"step": 144
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.94,
|
909 |
+
"learning_rate": 2.8768179304583087e-07,
|
910 |
+
"loss": 0.3125,
|
911 |
+
"step": 145
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 0.95,
|
915 |
+
"learning_rate": 2.2038051559509333e-07,
|
916 |
+
"loss": 0.2373,
|
917 |
+
"step": 146
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 0.96,
|
921 |
+
"learning_rate": 1.6199129482246335e-07,
|
922 |
+
"loss": 0.1973,
|
923 |
+
"step": 147
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 0.96,
|
927 |
+
"learning_rate": 1.1254043902195089e-07,
|
928 |
+
"loss": 0.3496,
|
929 |
+
"step": 148
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 0.97,
|
933 |
+
"learning_rate": 7.205022914946957e-08,
|
934 |
+
"loss": 0.291,
|
935 |
+
"step": 149
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 0.98,
|
939 |
+
"learning_rate": 4.053890878374933e-08,
|
940 |
+
"loss": 0.2754,
|
941 |
+
"step": 150
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 0.98,
|
945 |
+
"eval_loss": 0.24133720993995667,
|
946 |
+
"eval_runtime": 6310.9443,
|
947 |
+
"eval_samples_per_second": 0.167,
|
948 |
+
"eval_steps_per_second": 0.084,
|
949 |
+
"step": 150
|
950 |
+
}
|
951 |
+
],
|
952 |
+
"logging_steps": 1,
|
953 |
+
"max_steps": 153,
|
954 |
+
"num_input_tokens_seen": 0,
|
955 |
+
"num_train_epochs": 1,
|
956 |
+
"save_steps": 30,
|
957 |
+
"total_flos": 9543693401269248.0,
|
958 |
+
"train_batch_size": 2,
|
959 |
+
"trial_name": null,
|
960 |
+
"trial_params": null
|
961 |
+
}
|
checkpoints/SLAKEROCO_pmc_llava-v1.6-mistral_qfomer/checkpoint-150/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c952e743fb5bb7660f1301baa3dd9076ecdf5d57bf7bc408bd3a4a151cdb3ea4
|
3 |
+
size 4792
|