Upload 26 files
Browse files- 7b/iteration1/README.md +202 -0
- 7b/iteration1/adapter_config.json +130 -0
- 7b/iteration1/adapter_model.safetensors +3 -0
- 7b/iteration1/added_tokens.json +4 -0
- 7b/iteration1/chat_template.json +3 -0
- 7b/iteration1/preprocessor_config.json +28 -0
- 7b/iteration1/processor_config.json +7 -0
- 7b/iteration1/special_tokens_map.json +31 -0
- 7b/iteration1/tokenizer.json +0 -0
- 7b/iteration1/tokenizer.model +3 -0
- 7b/iteration1/tokenizer_config.json +64 -0
- 7b/iteration1/trainer_state.json +2769 -0
- 7b/iteration1/training_args.bin +3 -0
- 7b/iteration2/README.md +202 -0
- 7b/iteration2/adapter_config.json +130 -0
- 7b/iteration2/adapter_model.safetensors +3 -0
- 7b/iteration2/added_tokens.json +4 -0
- 7b/iteration2/chat_template.json +3 -0
- 7b/iteration2/preprocessor_config.json +28 -0
- 7b/iteration2/processor_config.json +7 -0
- 7b/iteration2/special_tokens_map.json +31 -0
- 7b/iteration2/tokenizer.json +0 -0
- 7b/iteration2/tokenizer.model +3 -0
- 7b/iteration2/tokenizer_config.json +64 -0
- 7b/iteration2/trainer_state.json +2373 -0
- 7b/iteration2/training_args.bin +3 -0
7b/iteration1/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: models/llava-1.5-7b-hf
|
| 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 0.14.0
|
7b/iteration1/adapter_config.json
ADDED
|
@@ -0,0 +1,130 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "models/llava-1.5-7b-hf",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 256,
|
| 16 |
+
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0.05,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 128,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"up_proj",
|
| 27 |
+
"24.self_attn.v_proj",
|
| 28 |
+
"29.self_attn.k_proj",
|
| 29 |
+
"26.self_attn.q_proj",
|
| 30 |
+
"model.layers.10.self_attn.v_proj",
|
| 31 |
+
"model.layers.7.self_attn.k_proj",
|
| 32 |
+
"25.self_attn.q_proj",
|
| 33 |
+
"model.layers.10.self_attn.k_proj",
|
| 34 |
+
"model.layers.12.self_attn.q_proj",
|
| 35 |
+
"model.layers.15.self_attn.k_proj",
|
| 36 |
+
"27.self_attn.q_proj",
|
| 37 |
+
"model.layers.13.self_attn.v_proj",
|
| 38 |
+
"model.layers.1.self_attn.v_proj",
|
| 39 |
+
"model.layers.20.self_attn.k_proj",
|
| 40 |
+
"model.layers.6.self_attn.k_proj",
|
| 41 |
+
"model.layers.23.self_attn.q_proj",
|
| 42 |
+
"model.layers.14.self_attn.v_proj",
|
| 43 |
+
"30.self_attn.q_proj",
|
| 44 |
+
"model.layers.20.self_attn.v_proj",
|
| 45 |
+
"31.self_attn.k_proj",
|
| 46 |
+
"model.layers.2.self_attn.k_proj",
|
| 47 |
+
"model.layers.6.self_attn.q_proj",
|
| 48 |
+
"model.layers.4.self_attn.q_proj",
|
| 49 |
+
"model.layers.17.self_attn.k_proj",
|
| 50 |
+
"model.layers.20.self_attn.q_proj",
|
| 51 |
+
"model.layers.4.self_attn.k_proj",
|
| 52 |
+
"28.self_attn.v_proj",
|
| 53 |
+
"30.self_attn.v_proj",
|
| 54 |
+
"model.layers.16.self_attn.k_proj",
|
| 55 |
+
"model.layers.8.self_attn.v_proj",
|
| 56 |
+
"model.layers.7.self_attn.v_proj",
|
| 57 |
+
"model.layers.1.self_attn.k_proj",
|
| 58 |
+
"model.layers.5.self_attn.q_proj",
|
| 59 |
+
"model.layers.3.self_attn.v_proj",
|
| 60 |
+
"model.layers.12.self_attn.v_proj",
|
| 61 |
+
"model.layers.21.self_attn.q_proj",
|
| 62 |
+
"model.layers.15.self_attn.v_proj",
|
| 63 |
+
"model.layers.22.self_attn.k_proj",
|
| 64 |
+
"31.self_attn.v_proj",
|
| 65 |
+
"29.self_attn.q_proj",
|
| 66 |
+
"gate_proj",
|
| 67 |
+
"model.layers.2.self_attn.q_proj",
|
| 68 |
+
"model.layers.11.self_attn.q_proj",
|
| 69 |
+
"model.layers.2.self_attn.v_proj",
|
| 70 |
+
"model.layers.23.self_attn.v_proj",
|
| 71 |
+
"model.layers.19.self_attn.k_proj",
|
| 72 |
+
"25.self_attn.k_proj",
|
| 73 |
+
"27.self_attn.v_proj",
|
| 74 |
+
"24.self_attn.q_proj",
|
| 75 |
+
"model.layers.13.self_attn.q_proj",
|
| 76 |
+
"31.self_attn.q_proj",
|
| 77 |
+
"model.layers.11.self_attn.k_proj",
|
| 78 |
+
"model.layers.0.self_attn.v_proj",
|
| 79 |
+
"model.layers.9.self_attn.k_proj",
|
| 80 |
+
"model.layers.0.self_attn.q_proj",
|
| 81 |
+
"model.layers.8.self_attn.k_proj",
|
| 82 |
+
"model.layers.17.self_attn.v_proj",
|
| 83 |
+
"model.layers.11.self_attn.v_proj",
|
| 84 |
+
"model.layers.0.self_attn.k_proj",
|
| 85 |
+
"model.layers.7.self_attn.q_proj",
|
| 86 |
+
"down_proj",
|
| 87 |
+
"25.self_attn.v_proj",
|
| 88 |
+
"29.self_attn.v_proj",
|
| 89 |
+
"model.layers.14.self_attn.q_proj",
|
| 90 |
+
"model.layers.17.self_attn.q_proj",
|
| 91 |
+
"model.layers.18.self_attn.v_proj",
|
| 92 |
+
"model.layers.12.self_attn.k_proj",
|
| 93 |
+
"model.layers.10.self_attn.q_proj",
|
| 94 |
+
"model.layers.5.self_attn.v_proj",
|
| 95 |
+
"model.layers.1.self_attn.q_proj",
|
| 96 |
+
"model.layers.18.self_attn.k_proj",
|
| 97 |
+
"30.self_attn.k_proj",
|
| 98 |
+
"26.self_attn.k_proj",
|
| 99 |
+
"model.layers.15.self_attn.q_proj",
|
| 100 |
+
"model.layers.19.self_attn.v_proj",
|
| 101 |
+
"model.layers.22.self_attn.v_proj",
|
| 102 |
+
"model.layers.3.self_attn.k_proj",
|
| 103 |
+
"model.layers.19.self_attn.q_proj",
|
| 104 |
+
"o_proj",
|
| 105 |
+
"model.layers.16.self_attn.q_proj",
|
| 106 |
+
"model.layers.9.self_attn.v_proj",
|
| 107 |
+
"model.layers.21.self_attn.k_proj",
|
| 108 |
+
"28.self_attn.q_proj",
|
| 109 |
+
"28.self_attn.k_proj",
|
| 110 |
+
"model.layers.13.self_attn.k_proj",
|
| 111 |
+
"24.self_attn.k_proj",
|
| 112 |
+
"model.layers.3.self_attn.q_proj",
|
| 113 |
+
"26.self_attn.v_proj",
|
| 114 |
+
"model.layers.16.self_attn.v_proj",
|
| 115 |
+
"model.layers.22.self_attn.q_proj",
|
| 116 |
+
"model.layers.18.self_attn.q_proj",
|
| 117 |
+
"27.self_attn.k_proj",
|
| 118 |
+
"model.layers.21.self_attn.v_proj",
|
| 119 |
+
"model.layers.9.self_attn.q_proj",
|
| 120 |
+
"model.layers.23.self_attn.k_proj",
|
| 121 |
+
"model.layers.5.self_attn.k_proj",
|
| 122 |
+
"model.layers.14.self_attn.k_proj",
|
| 123 |
+
"model.layers.6.self_attn.v_proj",
|
| 124 |
+
"model.layers.8.self_attn.q_proj",
|
| 125 |
+
"model.layers.4.self_attn.v_proj"
|
| 126 |
+
],
|
| 127 |
+
"task_type": "CAUSAL_LM",
|
| 128 |
+
"use_dora": false,
|
| 129 |
+
"use_rslora": false
|
| 130 |
+
}
|
7b/iteration1/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:102168e24c5480c3d0e1aee6cf4c7dce7a9ea83b54acfb1a37be95f75eae093c
|
| 3 |
+
size 639699488
|
7b/iteration1/added_tokens.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<image>": 32000,
|
| 3 |
+
"<pad>": 32001
|
| 4 |
+
}
|
7b/iteration1/chat_template.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chat_template": "{% for message in messages %}{% if message['role'] != 'system' %}{{ message['role'].upper() + ': '}}{% endif %}{# Render all images first #}{% for content in message['content'] | selectattr('type', 'equalto', 'image') %}{{ '<image>\n' }}{% endfor %}{# Render all text next #}{% if message['role'] != 'assistant' %}{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}{{ content['text'] + ' '}}{% endfor %}{% else %}{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}{% generation %}{{ content['text'] + ' '}}{% endgeneration %}{% endfor %}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'ASSISTANT:' }}{% endif %}"
|
| 3 |
+
}
|
7b/iteration1/preprocessor_config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": {
|
| 3 |
+
"height": 336,
|
| 4 |
+
"width": 336
|
| 5 |
+
},
|
| 6 |
+
"do_center_crop": true,
|
| 7 |
+
"do_convert_rgb": true,
|
| 8 |
+
"do_normalize": true,
|
| 9 |
+
"do_rescale": true,
|
| 10 |
+
"do_resize": true,
|
| 11 |
+
"image_mean": [
|
| 12 |
+
0.48145466,
|
| 13 |
+
0.4578275,
|
| 14 |
+
0.40821073
|
| 15 |
+
],
|
| 16 |
+
"image_processor_type": "CLIPImageProcessor",
|
| 17 |
+
"image_std": [
|
| 18 |
+
0.26862954,
|
| 19 |
+
0.26130258,
|
| 20 |
+
0.27577711
|
| 21 |
+
],
|
| 22 |
+
"processor_class": "LlavaProcessor",
|
| 23 |
+
"resample": 3,
|
| 24 |
+
"rescale_factor": 0.00392156862745098,
|
| 25 |
+
"size": {
|
| 26 |
+
"shortest_edge": 336
|
| 27 |
+
}
|
| 28 |
+
}
|
7b/iteration1/processor_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_token": "<image>",
|
| 3 |
+
"num_additional_image_tokens": 1,
|
| 4 |
+
"patch_size": 14,
|
| 5 |
+
"processor_class": "LlavaProcessor",
|
| 6 |
+
"vision_feature_select_strategy": "default"
|
| 7 |
+
}
|
7b/iteration1/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"image_token": "<image>",
|
| 17 |
+
"pad_token": {
|
| 18 |
+
"content": "<pad>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"unk_token": {
|
| 25 |
+
"content": "<unk>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
7b/iteration1/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
7b/iteration1/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
7b/iteration1/tokenizer_config.json
ADDED
|
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"32000": {
|
| 31 |
+
"content": "<image>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"32001": {
|
| 39 |
+
"content": "<pad>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"bos_token": "<s>",
|
| 48 |
+
"clean_up_tokenization_spaces": false,
|
| 49 |
+
"eos_token": "</s>",
|
| 50 |
+
"extra_special_tokens": {
|
| 51 |
+
"image_token": "<image>"
|
| 52 |
+
},
|
| 53 |
+
"image_token": "<image>",
|
| 54 |
+
"legacy": false,
|
| 55 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 56 |
+
"pad_token": "<pad>",
|
| 57 |
+
"padding_side": "right",
|
| 58 |
+
"processor_class": "LlavaProcessor",
|
| 59 |
+
"sp_model_kwargs": {},
|
| 60 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 61 |
+
"trust_remote_code": false,
|
| 62 |
+
"unk_token": "<unk>",
|
| 63 |
+
"use_default_system_prompt": false
|
| 64 |
+
}
|
7b/iteration1/trainer_state.json
ADDED
|
@@ -0,0 +1,2769 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 171,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.005847953216374269,
|
| 13 |
+
"grad_norm": 12.401365280151367,
|
| 14 |
+
"learning_rate": 1.111111111111111e-06,
|
| 15 |
+
"logits/chosen": 0.130859375,
|
| 16 |
+
"logits/rejected": 0.173828125,
|
| 17 |
+
"logps/chosen": -110.5,
|
| 18 |
+
"logps/rejected": -13.0625,
|
| 19 |
+
"loss": 0.9935,
|
| 20 |
+
"nll_loss": 1.4140625,
|
| 21 |
+
"rewards/accuracies": 0.0,
|
| 22 |
+
"rewards/chosen": 0.0,
|
| 23 |
+
"rewards/margins": 0.0,
|
| 24 |
+
"rewards/rejected": 0.0,
|
| 25 |
+
"step": 1
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 0.011695906432748537,
|
| 29 |
+
"grad_norm": 14.383028984069824,
|
| 30 |
+
"learning_rate": 2.222222222222222e-06,
|
| 31 |
+
"logits/chosen": -0.0257568359375,
|
| 32 |
+
"logits/rejected": -0.41796875,
|
| 33 |
+
"logps/chosen": -121.0,
|
| 34 |
+
"logps/rejected": -59.5,
|
| 35 |
+
"loss": 0.9805,
|
| 36 |
+
"nll_loss": 1.3515625,
|
| 37 |
+
"rewards/accuracies": 0.0,
|
| 38 |
+
"rewards/chosen": 0.0,
|
| 39 |
+
"rewards/margins": 0.0,
|
| 40 |
+
"rewards/rejected": 0.0,
|
| 41 |
+
"step": 2
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 0.017543859649122806,
|
| 45 |
+
"grad_norm": 10.575273513793945,
|
| 46 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 47 |
+
"logits/chosen": 0.1416015625,
|
| 48 |
+
"logits/rejected": 0.09521484375,
|
| 49 |
+
"logps/chosen": -106.0,
|
| 50 |
+
"logps/rejected": -37.5,
|
| 51 |
+
"loss": 1.0352,
|
| 52 |
+
"nll_loss": 1.5,
|
| 53 |
+
"rewards/accuracies": 0.25,
|
| 54 |
+
"rewards/chosen": 0.125,
|
| 55 |
+
"rewards/margins": 0.0859375,
|
| 56 |
+
"rewards/rejected": 0.0390625,
|
| 57 |
+
"step": 3
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.023391812865497075,
|
| 61 |
+
"grad_norm": 10.790839195251465,
|
| 62 |
+
"learning_rate": 4.444444444444444e-06,
|
| 63 |
+
"logits/chosen": 0.2119140625,
|
| 64 |
+
"logits/rejected": 0.25,
|
| 65 |
+
"logps/chosen": -76.0,
|
| 66 |
+
"logps/rejected": -7.0,
|
| 67 |
+
"loss": 0.9434,
|
| 68 |
+
"nll_loss": 1.46875,
|
| 69 |
+
"rewards/accuracies": 0.5,
|
| 70 |
+
"rewards/chosen": 0.0625,
|
| 71 |
+
"rewards/margins": 0.0703125,
|
| 72 |
+
"rewards/rejected": -0.0078125,
|
| 73 |
+
"step": 4
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.029239766081871343,
|
| 77 |
+
"grad_norm": 11.351024627685547,
|
| 78 |
+
"learning_rate": 5.555555555555557e-06,
|
| 79 |
+
"logits/chosen": 0.1611328125,
|
| 80 |
+
"logits/rejected": 0.1630859375,
|
| 81 |
+
"logps/chosen": -133.0,
|
| 82 |
+
"logps/rejected": -34.5,
|
| 83 |
+
"loss": 0.9577,
|
| 84 |
+
"nll_loss": 1.3984375,
|
| 85 |
+
"rewards/accuracies": 0.25,
|
| 86 |
+
"rewards/chosen": 0.0,
|
| 87 |
+
"rewards/margins": 0.03125,
|
| 88 |
+
"rewards/rejected": -0.03125,
|
| 89 |
+
"step": 5
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 0.03508771929824561,
|
| 93 |
+
"grad_norm": 10.957937240600586,
|
| 94 |
+
"learning_rate": 6.666666666666667e-06,
|
| 95 |
+
"logits/chosen": 0.193359375,
|
| 96 |
+
"logits/rejected": 0.2890625,
|
| 97 |
+
"logps/chosen": -72.0,
|
| 98 |
+
"logps/rejected": -16.5,
|
| 99 |
+
"loss": 0.9368,
|
| 100 |
+
"nll_loss": 1.4375,
|
| 101 |
+
"rewards/accuracies": 0.25,
|
| 102 |
+
"rewards/chosen": -0.015625,
|
| 103 |
+
"rewards/margins": 0.0,
|
| 104 |
+
"rewards/rejected": -0.015625,
|
| 105 |
+
"step": 6
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.04093567251461988,
|
| 109 |
+
"grad_norm": 10.016559600830078,
|
| 110 |
+
"learning_rate": 7.77777777777778e-06,
|
| 111 |
+
"logits/chosen": 0.474609375,
|
| 112 |
+
"logits/rejected": 0.287109375,
|
| 113 |
+
"logps/chosen": -50.5,
|
| 114 |
+
"logps/rejected": -17.875,
|
| 115 |
+
"loss": 0.8958,
|
| 116 |
+
"nll_loss": 1.5234375,
|
| 117 |
+
"rewards/accuracies": 0.75,
|
| 118 |
+
"rewards/chosen": 0.12109375,
|
| 119 |
+
"rewards/margins": 0.2109375,
|
| 120 |
+
"rewards/rejected": -0.08984375,
|
| 121 |
+
"step": 7
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.04678362573099415,
|
| 125 |
+
"grad_norm": 10.56991195678711,
|
| 126 |
+
"learning_rate": 8.888888888888888e-06,
|
| 127 |
+
"logits/chosen": -0.047119140625,
|
| 128 |
+
"logits/rejected": 0.205078125,
|
| 129 |
+
"logps/chosen": -109.0,
|
| 130 |
+
"logps/rejected": -62.5,
|
| 131 |
+
"loss": 0.8242,
|
| 132 |
+
"nll_loss": 1.2890625,
|
| 133 |
+
"rewards/accuracies": 0.75,
|
| 134 |
+
"rewards/chosen": -0.00390625,
|
| 135 |
+
"rewards/margins": 0.2255859375,
|
| 136 |
+
"rewards/rejected": -0.2294921875,
|
| 137 |
+
"step": 8
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.05263157894736842,
|
| 141 |
+
"grad_norm": 8.538987159729004,
|
| 142 |
+
"learning_rate": 1e-05,
|
| 143 |
+
"logits/chosen": 0.57421875,
|
| 144 |
+
"logits/rejected": 0.59375,
|
| 145 |
+
"logps/chosen": -69.0,
|
| 146 |
+
"logps/rejected": -5.875,
|
| 147 |
+
"loss": 0.8125,
|
| 148 |
+
"nll_loss": 1.484375,
|
| 149 |
+
"rewards/accuracies": 1.0,
|
| 150 |
+
"rewards/chosen": 0.5,
|
| 151 |
+
"rewards/margins": 0.625,
|
| 152 |
+
"rewards/rejected": -0.125,
|
| 153 |
+
"step": 9
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.05847953216374269,
|
| 157 |
+
"grad_norm": 6.87076997756958,
|
| 158 |
+
"learning_rate": 9.999059852242508e-06,
|
| 159 |
+
"logits/chosen": 0.6484375,
|
| 160 |
+
"logits/rejected": 0.86328125,
|
| 161 |
+
"logps/chosen": -46.0,
|
| 162 |
+
"logps/rejected": -6.15625,
|
| 163 |
+
"loss": 0.7461,
|
| 164 |
+
"nll_loss": 1.390625,
|
| 165 |
+
"rewards/accuracies": 1.0,
|
| 166 |
+
"rewards/chosen": 0.40625,
|
| 167 |
+
"rewards/margins": 0.5703125,
|
| 168 |
+
"rewards/rejected": -0.162109375,
|
| 169 |
+
"step": 10
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 0.06432748538011696,
|
| 173 |
+
"grad_norm": 6.21343469619751,
|
| 174 |
+
"learning_rate": 9.996239762521152e-06,
|
| 175 |
+
"logits/chosen": 0.12158203125,
|
| 176 |
+
"logits/rejected": 0.5234375,
|
| 177 |
+
"logps/chosen": -85.5,
|
| 178 |
+
"logps/rejected": -6.0,
|
| 179 |
+
"loss": 0.6478,
|
| 180 |
+
"nll_loss": 1.2421875,
|
| 181 |
+
"rewards/accuracies": 1.0,
|
| 182 |
+
"rewards/chosen": 0.625,
|
| 183 |
+
"rewards/margins": 0.828125,
|
| 184 |
+
"rewards/rejected": -0.205078125,
|
| 185 |
+
"step": 11
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.07017543859649122,
|
| 189 |
+
"grad_norm": 5.582995891571045,
|
| 190 |
+
"learning_rate": 9.991540791356342e-06,
|
| 191 |
+
"logits/chosen": 0.208984375,
|
| 192 |
+
"logits/rejected": 0.0284423828125,
|
| 193 |
+
"logps/chosen": -76.5,
|
| 194 |
+
"logps/rejected": -20.0,
|
| 195 |
+
"loss": 0.5983,
|
| 196 |
+
"nll_loss": 1.4140625,
|
| 197 |
+
"rewards/accuracies": 0.75,
|
| 198 |
+
"rewards/chosen": 0.50390625,
|
| 199 |
+
"rewards/margins": 0.953125,
|
| 200 |
+
"rewards/rejected": -0.44921875,
|
| 201 |
+
"step": 12
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.07602339181286549,
|
| 205 |
+
"grad_norm": 4.830435752868652,
|
| 206 |
+
"learning_rate": 9.98496470583896e-06,
|
| 207 |
+
"logits/chosen": 0.318359375,
|
| 208 |
+
"logits/rejected": 0.68359375,
|
| 209 |
+
"logps/chosen": -70.5,
|
| 210 |
+
"logps/rejected": -10.75,
|
| 211 |
+
"loss": 0.5495,
|
| 212 |
+
"nll_loss": 1.2578125,
|
| 213 |
+
"rewards/accuracies": 1.0,
|
| 214 |
+
"rewards/chosen": 1.09375,
|
| 215 |
+
"rewards/margins": 1.640625,
|
| 216 |
+
"rewards/rejected": -0.546875,
|
| 217 |
+
"step": 13
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 0.08187134502923976,
|
| 221 |
+
"grad_norm": 4.1727142333984375,
|
| 222 |
+
"learning_rate": 9.976513978965829e-06,
|
| 223 |
+
"logits/chosen": -0.029541015625,
|
| 224 |
+
"logits/rejected": 0.11474609375,
|
| 225 |
+
"logps/chosen": -135.0,
|
| 226 |
+
"logps/rejected": -17.375,
|
| 227 |
+
"loss": 0.4876,
|
| 228 |
+
"nll_loss": 1.3515625,
|
| 229 |
+
"rewards/accuracies": 1.0,
|
| 230 |
+
"rewards/chosen": 1.6875,
|
| 231 |
+
"rewards/margins": 2.390625,
|
| 232 |
+
"rewards/rejected": -0.69921875,
|
| 233 |
+
"step": 14
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.08771929824561403,
|
| 237 |
+
"grad_norm": 2.942042827606201,
|
| 238 |
+
"learning_rate": 9.966191788709716e-06,
|
| 239 |
+
"logits/chosen": 0.298828125,
|
| 240 |
+
"logits/rejected": 0.3359375,
|
| 241 |
+
"logps/chosen": -70.0,
|
| 242 |
+
"logps/rejected": -15.1875,
|
| 243 |
+
"loss": 0.4977,
|
| 244 |
+
"nll_loss": 1.53125,
|
| 245 |
+
"rewards/accuracies": 1.0,
|
| 246 |
+
"rewards/chosen": 0.875,
|
| 247 |
+
"rewards/margins": 1.640625,
|
| 248 |
+
"rewards/rejected": -0.76171875,
|
| 249 |
+
"step": 15
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.0935672514619883,
|
| 253 |
+
"grad_norm": 2.406817674636841,
|
| 254 |
+
"learning_rate": 9.954002016824226e-06,
|
| 255 |
+
"logits/chosen": 0.2890625,
|
| 256 |
+
"logits/rejected": 0.255859375,
|
| 257 |
+
"logps/chosen": -163.0,
|
| 258 |
+
"logps/rejected": -19.625,
|
| 259 |
+
"loss": 0.4163,
|
| 260 |
+
"nll_loss": 1.3125,
|
| 261 |
+
"rewards/accuracies": 1.0,
|
| 262 |
+
"rewards/chosen": 2.75,
|
| 263 |
+
"rewards/margins": 3.671875,
|
| 264 |
+
"rewards/rejected": -0.91796875,
|
| 265 |
+
"step": 16
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 0.09941520467836257,
|
| 269 |
+
"grad_norm": 2.127260446548462,
|
| 270 |
+
"learning_rate": 9.939949247384046e-06,
|
| 271 |
+
"logits/chosen": 0.08984375,
|
| 272 |
+
"logits/rejected": 0.09765625,
|
| 273 |
+
"logps/chosen": -71.5,
|
| 274 |
+
"logps/rejected": -52.75,
|
| 275 |
+
"loss": 0.4284,
|
| 276 |
+
"nll_loss": 1.2734375,
|
| 277 |
+
"rewards/accuracies": 1.0,
|
| 278 |
+
"rewards/chosen": 0.97265625,
|
| 279 |
+
"rewards/margins": 3.390625,
|
| 280 |
+
"rewards/rejected": -2.421875,
|
| 281 |
+
"step": 17
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 0.10526315789473684,
|
| 285 |
+
"grad_norm": 2.6332027912139893,
|
| 286 |
+
"learning_rate": 9.924038765061042e-06,
|
| 287 |
+
"logits/chosen": 0.19140625,
|
| 288 |
+
"logits/rejected": 0.04443359375,
|
| 289 |
+
"logps/chosen": -113.0,
|
| 290 |
+
"logps/rejected": -54.25,
|
| 291 |
+
"loss": 0.3786,
|
| 292 |
+
"nll_loss": 1.3046875,
|
| 293 |
+
"rewards/accuracies": 1.0,
|
| 294 |
+
"rewards/chosen": 1.4375,
|
| 295 |
+
"rewards/margins": 3.9375,
|
| 296 |
+
"rewards/rejected": -2.515625,
|
| 297 |
+
"step": 18
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.1111111111111111,
|
| 301 |
+
"grad_norm": 2.0191080570220947,
|
| 302 |
+
"learning_rate": 9.906276553136924e-06,
|
| 303 |
+
"logits/chosen": 0.08544921875,
|
| 304 |
+
"logits/rejected": 0.49609375,
|
| 305 |
+
"logps/chosen": -88.0,
|
| 306 |
+
"logps/rejected": -8.3125,
|
| 307 |
+
"loss": 0.4479,
|
| 308 |
+
"nll_loss": 1.5546875,
|
| 309 |
+
"rewards/accuracies": 1.0,
|
| 310 |
+
"rewards/chosen": 1.640625,
|
| 311 |
+
"rewards/margins": 1.8828125,
|
| 312 |
+
"rewards/rejected": -0.236328125,
|
| 313 |
+
"step": 19
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 0.11695906432748537,
|
| 317 |
+
"grad_norm": 1.9893779754638672,
|
| 318 |
+
"learning_rate": 9.886669291253178e-06,
|
| 319 |
+
"logits/chosen": 0.421875,
|
| 320 |
+
"logits/rejected": 0.349609375,
|
| 321 |
+
"logps/chosen": -34.25,
|
| 322 |
+
"logps/rejected": -7.625,
|
| 323 |
+
"loss": 0.4622,
|
| 324 |
+
"nll_loss": 1.1171875,
|
| 325 |
+
"rewards/accuracies": 1.0,
|
| 326 |
+
"rewards/chosen": 0.57421875,
|
| 327 |
+
"rewards/margins": 1.7265625,
|
| 328 |
+
"rewards/rejected": -1.1484375,
|
| 329 |
+
"step": 20
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.12280701754385964,
|
| 333 |
+
"grad_norm": 1.3010271787643433,
|
| 334 |
+
"learning_rate": 9.86522435289912e-06,
|
| 335 |
+
"logits/chosen": 0.08740234375,
|
| 336 |
+
"logits/rejected": 0.359375,
|
| 337 |
+
"logps/chosen": -123.5,
|
| 338 |
+
"logps/rejected": -6.25,
|
| 339 |
+
"loss": 0.3633,
|
| 340 |
+
"nll_loss": 1.515625,
|
| 341 |
+
"rewards/accuracies": 1.0,
|
| 342 |
+
"rewards/chosen": 3.265625,
|
| 343 |
+
"rewards/margins": 4.28125,
|
| 344 |
+
"rewards/rejected": -1.015625,
|
| 345 |
+
"step": 21
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.1286549707602339,
|
| 349 |
+
"grad_norm": 2.4463562965393066,
|
| 350 |
+
"learning_rate": 9.841949802639031e-06,
|
| 351 |
+
"logits/chosen": 0.2353515625,
|
| 352 |
+
"logits/rejected": 0.55859375,
|
| 353 |
+
"logps/chosen": -84.5,
|
| 354 |
+
"logps/rejected": -15.0,
|
| 355 |
+
"loss": 0.417,
|
| 356 |
+
"nll_loss": 1.125,
|
| 357 |
+
"rewards/accuracies": 1.0,
|
| 358 |
+
"rewards/chosen": 1.4765625,
|
| 359 |
+
"rewards/margins": 3.09375,
|
| 360 |
+
"rewards/rejected": -1.625,
|
| 361 |
+
"step": 22
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.13450292397660818,
|
| 365 |
+
"grad_norm": 1.135468602180481,
|
| 366 |
+
"learning_rate": 9.816854393079402e-06,
|
| 367 |
+
"logits/chosen": 0.056396484375,
|
| 368 |
+
"logits/rejected": -0.01409912109375,
|
| 369 |
+
"logps/chosen": -67.0,
|
| 370 |
+
"logps/rejected": -22.25,
|
| 371 |
+
"loss": 0.3626,
|
| 372 |
+
"nll_loss": 1.4765625,
|
| 373 |
+
"rewards/accuracies": 1.0,
|
| 374 |
+
"rewards/chosen": 0.443359375,
|
| 375 |
+
"rewards/margins": 2.46875,
|
| 376 |
+
"rewards/rejected": -2.03125,
|
| 377 |
+
"step": 23
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 0.14035087719298245,
|
| 381 |
+
"grad_norm": 1.4695147275924683,
|
| 382 |
+
"learning_rate": 9.789947561577445e-06,
|
| 383 |
+
"logits/chosen": -0.21484375,
|
| 384 |
+
"logits/rejected": 0.006256103515625,
|
| 385 |
+
"logps/chosen": -77.5,
|
| 386 |
+
"logps/rejected": -34.5,
|
| 387 |
+
"loss": 0.4385,
|
| 388 |
+
"nll_loss": 1.6171875,
|
| 389 |
+
"rewards/accuracies": 1.0,
|
| 390 |
+
"rewards/chosen": 0.96875,
|
| 391 |
+
"rewards/margins": 2.828125,
|
| 392 |
+
"rewards/rejected": -1.859375,
|
| 393 |
+
"step": 24
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 0.14619883040935672,
|
| 397 |
+
"grad_norm": 0.9380862712860107,
|
| 398 |
+
"learning_rate": 9.761239426692077e-06,
|
| 399 |
+
"logits/chosen": 0.181640625,
|
| 400 |
+
"logits/rejected": 0.228515625,
|
| 401 |
+
"logps/chosen": -91.0,
|
| 402 |
+
"logps/rejected": -20.5,
|
| 403 |
+
"loss": 0.3815,
|
| 404 |
+
"nll_loss": 1.328125,
|
| 405 |
+
"rewards/accuracies": 1.0,
|
| 406 |
+
"rewards/chosen": 2.390625,
|
| 407 |
+
"rewards/margins": 4.53125,
|
| 408 |
+
"rewards/rejected": -2.15625,
|
| 409 |
+
"step": 25
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.15204678362573099,
|
| 413 |
+
"grad_norm": 1.5922902822494507,
|
| 414 |
+
"learning_rate": 9.730740784378755e-06,
|
| 415 |
+
"logits/chosen": 0.40234375,
|
| 416 |
+
"logits/rejected": 0.46875,
|
| 417 |
+
"logps/chosen": -51.75,
|
| 418 |
+
"logps/rejected": -18.125,
|
| 419 |
+
"loss": 0.3636,
|
| 420 |
+
"nll_loss": 1.1640625,
|
| 421 |
+
"rewards/accuracies": 1.0,
|
| 422 |
+
"rewards/chosen": 1.609375,
|
| 423 |
+
"rewards/margins": 2.84375,
|
| 424 |
+
"rewards/rejected": -1.234375,
|
| 425 |
+
"step": 26
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 0.15789473684210525,
|
| 429 |
+
"grad_norm": 1.7313437461853027,
|
| 430 |
+
"learning_rate": 9.698463103929542e-06,
|
| 431 |
+
"logits/chosen": 0.173828125,
|
| 432 |
+
"logits/rejected": 0.1943359375,
|
| 433 |
+
"logps/chosen": -94.0,
|
| 434 |
+
"logps/rejected": -38.25,
|
| 435 |
+
"loss": 0.3835,
|
| 436 |
+
"nll_loss": 1.265625,
|
| 437 |
+
"rewards/accuracies": 1.0,
|
| 438 |
+
"rewards/chosen": 2.15625,
|
| 439 |
+
"rewards/margins": 5.84375,
|
| 440 |
+
"rewards/rejected": -3.6875,
|
| 441 |
+
"step": 27
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 0.16374269005847952,
|
| 445 |
+
"grad_norm": 1.2301464080810547,
|
| 446 |
+
"learning_rate": 9.664418523660004e-06,
|
| 447 |
+
"logits/chosen": 0.09228515625,
|
| 448 |
+
"logits/rejected": 0.1875,
|
| 449 |
+
"logps/chosen": -74.5,
|
| 450 |
+
"logps/rejected": -21.5,
|
| 451 |
+
"loss": 0.3408,
|
| 452 |
+
"nll_loss": 1.3203125,
|
| 453 |
+
"rewards/accuracies": 1.0,
|
| 454 |
+
"rewards/chosen": 0.9765625,
|
| 455 |
+
"rewards/margins": 3.578125,
|
| 456 |
+
"rewards/rejected": -2.59375,
|
| 457 |
+
"step": 28
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.1695906432748538,
|
| 461 |
+
"grad_norm": 1.0106050968170166,
|
| 462 |
+
"learning_rate": 9.628619846344453e-06,
|
| 463 |
+
"logits/chosen": 0.62109375,
|
| 464 |
+
"logits/rejected": 0.5625,
|
| 465 |
+
"logps/chosen": -48.5,
|
| 466 |
+
"logps/rejected": -8.3125,
|
| 467 |
+
"loss": 0.3379,
|
| 468 |
+
"nll_loss": 1.5078125,
|
| 469 |
+
"rewards/accuracies": 1.0,
|
| 470 |
+
"rewards/chosen": 2.6875,
|
| 471 |
+
"rewards/margins": 4.21875,
|
| 472 |
+
"rewards/rejected": -1.515625,
|
| 473 |
+
"step": 29
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.17543859649122806,
|
| 477 |
+
"grad_norm": 0.8290690183639526,
|
| 478 |
+
"learning_rate": 9.591080534401371e-06,
|
| 479 |
+
"logits/chosen": 0.1103515625,
|
| 480 |
+
"logits/rejected": 0.0712890625,
|
| 481 |
+
"logps/chosen": -103.0,
|
| 482 |
+
"logps/rejected": -28.125,
|
| 483 |
+
"loss": 0.3311,
|
| 484 |
+
"nll_loss": 1.4375,
|
| 485 |
+
"rewards/accuracies": 1.0,
|
| 486 |
+
"rewards/chosen": 3.28125,
|
| 487 |
+
"rewards/margins": 6.5,
|
| 488 |
+
"rewards/rejected": -3.234375,
|
| 489 |
+
"step": 30
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.18128654970760233,
|
| 493 |
+
"grad_norm": 1.09013032913208,
|
| 494 |
+
"learning_rate": 9.551814704830734e-06,
|
| 495 |
+
"logits/chosen": 0.1494140625,
|
| 496 |
+
"logits/rejected": 0.90625,
|
| 497 |
+
"logps/chosen": -46.0,
|
| 498 |
+
"logps/rejected": -7.0,
|
| 499 |
+
"loss": 0.3809,
|
| 500 |
+
"nll_loss": 1.359375,
|
| 501 |
+
"rewards/accuracies": 1.0,
|
| 502 |
+
"rewards/chosen": 1.9375,
|
| 503 |
+
"rewards/margins": 3.5625,
|
| 504 |
+
"rewards/rejected": -1.625,
|
| 505 |
+
"step": 31
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 0.1871345029239766,
|
| 509 |
+
"grad_norm": 0.8978441953659058,
|
| 510 |
+
"learning_rate": 9.51083712390519e-06,
|
| 511 |
+
"logits/chosen": 0.263671875,
|
| 512 |
+
"logits/rejected": 0.447265625,
|
| 513 |
+
"logps/chosen": -43.25,
|
| 514 |
+
"logps/rejected": -7.75,
|
| 515 |
+
"loss": 0.3184,
|
| 516 |
+
"nll_loss": 1.15625,
|
| 517 |
+
"rewards/accuracies": 1.0,
|
| 518 |
+
"rewards/chosen": 0.8125,
|
| 519 |
+
"rewards/margins": 2.390625,
|
| 520 |
+
"rewards/rejected": -1.578125,
|
| 521 |
+
"step": 32
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.19298245614035087,
|
| 525 |
+
"grad_norm": 1.1078234910964966,
|
| 526 |
+
"learning_rate": 9.468163201617063e-06,
|
| 527 |
+
"logits/chosen": -0.08203125,
|
| 528 |
+
"logits/rejected": 0.25390625,
|
| 529 |
+
"logps/chosen": -120.0,
|
| 530 |
+
"logps/rejected": -19.875,
|
| 531 |
+
"loss": 0.3835,
|
| 532 |
+
"nll_loss": 1.71875,
|
| 533 |
+
"rewards/accuracies": 1.0,
|
| 534 |
+
"rewards/chosen": 3.6875,
|
| 535 |
+
"rewards/margins": 6.75,
|
| 536 |
+
"rewards/rejected": -3.046875,
|
| 537 |
+
"step": 33
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 0.19883040935672514,
|
| 541 |
+
"grad_norm": 0.7379825711250305,
|
| 542 |
+
"learning_rate": 9.423808985883289e-06,
|
| 543 |
+
"logits/chosen": 0.19921875,
|
| 544 |
+
"logits/rejected": 0.46484375,
|
| 545 |
+
"logps/chosen": -96.0,
|
| 546 |
+
"logps/rejected": -30.5,
|
| 547 |
+
"loss": 0.383,
|
| 548 |
+
"nll_loss": 1.375,
|
| 549 |
+
"rewards/accuracies": 1.0,
|
| 550 |
+
"rewards/chosen": 2.34375,
|
| 551 |
+
"rewards/margins": 5.3125,
|
| 552 |
+
"rewards/rejected": -2.953125,
|
| 553 |
+
"step": 34
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 0.2046783625730994,
|
| 557 |
+
"grad_norm": 1.2710590362548828,
|
| 558 |
+
"learning_rate": 9.377791156510456e-06,
|
| 559 |
+
"logits/chosen": -0.22265625,
|
| 560 |
+
"logits/rejected": -0.3984375,
|
| 561 |
+
"logps/chosen": -89.0,
|
| 562 |
+
"logps/rejected": -24.75,
|
| 563 |
+
"loss": 0.3789,
|
| 564 |
+
"nll_loss": 1.5859375,
|
| 565 |
+
"rewards/accuracies": 1.0,
|
| 566 |
+
"rewards/chosen": 1.96875,
|
| 567 |
+
"rewards/margins": 5.21875,
|
| 568 |
+
"rewards/rejected": -3.25,
|
| 569 |
+
"step": 35
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.21052631578947367,
|
| 573 |
+
"grad_norm": 1.0742026567459106,
|
| 574 |
+
"learning_rate": 9.330127018922195e-06,
|
| 575 |
+
"logits/chosen": 0.0947265625,
|
| 576 |
+
"logits/rejected": 0.48828125,
|
| 577 |
+
"logps/chosen": -94.0,
|
| 578 |
+
"logps/rejected": -28.0,
|
| 579 |
+
"loss": 0.3975,
|
| 580 |
+
"nll_loss": 1.28125,
|
| 581 |
+
"rewards/accuracies": 1.0,
|
| 582 |
+
"rewards/chosen": 0.9609375,
|
| 583 |
+
"rewards/margins": 4.1875,
|
| 584 |
+
"rewards/rejected": -3.21875,
|
| 585 |
+
"step": 36
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.21637426900584794,
|
| 589 |
+
"grad_norm": 0.5758035182952881,
|
| 590 |
+
"learning_rate": 9.280834497651334e-06,
|
| 591 |
+
"logits/chosen": -0.043212890625,
|
| 592 |
+
"logits/rejected": 0.1376953125,
|
| 593 |
+
"logps/chosen": -161.0,
|
| 594 |
+
"logps/rejected": -40.5,
|
| 595 |
+
"loss": 0.3301,
|
| 596 |
+
"nll_loss": 1.3515625,
|
| 597 |
+
"rewards/accuracies": 1.0,
|
| 598 |
+
"rewards/chosen": 2.0625,
|
| 599 |
+
"rewards/margins": 6.9375,
|
| 600 |
+
"rewards/rejected": -4.875,
|
| 601 |
+
"step": 37
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 0.2222222222222222,
|
| 605 |
+
"grad_norm": 0.787466287612915,
|
| 606 |
+
"learning_rate": 9.229932129599206e-06,
|
| 607 |
+
"logits/chosen": 0.031494140625,
|
| 608 |
+
"logits/rejected": 0.4765625,
|
| 609 |
+
"logps/chosen": -58.0,
|
| 610 |
+
"logps/rejected": -9.4375,
|
| 611 |
+
"loss": 0.375,
|
| 612 |
+
"nll_loss": 1.4375,
|
| 613 |
+
"rewards/accuracies": 1.0,
|
| 614 |
+
"rewards/chosen": 1.7265625,
|
| 615 |
+
"rewards/margins": 4.0,
|
| 616 |
+
"rewards/rejected": -2.28125,
|
| 617 |
+
"step": 38
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 0.22807017543859648,
|
| 621 |
+
"grad_norm": 0.9415507316589355,
|
| 622 |
+
"learning_rate": 9.177439057064684e-06,
|
| 623 |
+
"logits/chosen": 0.212890625,
|
| 624 |
+
"logits/rejected": 0.859375,
|
| 625 |
+
"logps/chosen": -37.5,
|
| 626 |
+
"logps/rejected": -4.21875,
|
| 627 |
+
"loss": 0.36,
|
| 628 |
+
"nll_loss": 1.171875,
|
| 629 |
+
"rewards/accuracies": 1.0,
|
| 630 |
+
"rewards/chosen": 1.484375,
|
| 631 |
+
"rewards/margins": 2.828125,
|
| 632 |
+
"rewards/rejected": -1.3515625,
|
| 633 |
+
"step": 39
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.23391812865497075,
|
| 637 |
+
"grad_norm": 3.3659064769744873,
|
| 638 |
+
"learning_rate": 9.123375020545534e-06,
|
| 639 |
+
"logits/chosen": -0.0286865234375,
|
| 640 |
+
"logits/rejected": -0.0267333984375,
|
| 641 |
+
"logps/chosen": -67.0,
|
| 642 |
+
"logps/rejected": -33.5,
|
| 643 |
+
"loss": 0.3604,
|
| 644 |
+
"nll_loss": 1.1796875,
|
| 645 |
+
"rewards/accuracies": 0.75,
|
| 646 |
+
"rewards/chosen": -0.54296875,
|
| 647 |
+
"rewards/margins": 1.921875,
|
| 648 |
+
"rewards/rejected": -2.46875,
|
| 649 |
+
"step": 40
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 0.23976608187134502,
|
| 653 |
+
"grad_norm": 0.9403271675109863,
|
| 654 |
+
"learning_rate": 9.067760351314838e-06,
|
| 655 |
+
"logits/chosen": 0.1591796875,
|
| 656 |
+
"logits/rejected": 0.384765625,
|
| 657 |
+
"logps/chosen": -116.5,
|
| 658 |
+
"logps/rejected": -32.75,
|
| 659 |
+
"loss": 0.3714,
|
| 660 |
+
"nll_loss": 1.3125,
|
| 661 |
+
"rewards/accuracies": 1.0,
|
| 662 |
+
"rewards/chosen": 0.15625,
|
| 663 |
+
"rewards/margins": 4.28125,
|
| 664 |
+
"rewards/rejected": -4.125,
|
| 665 |
+
"step": 41
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 0.24561403508771928,
|
| 669 |
+
"grad_norm": 0.7999655604362488,
|
| 670 |
+
"learning_rate": 9.01061596377522e-06,
|
| 671 |
+
"logits/chosen": -0.0654296875,
|
| 672 |
+
"logits/rejected": 0.37109375,
|
| 673 |
+
"logps/chosen": -102.0,
|
| 674 |
+
"logps/rejected": -11.1875,
|
| 675 |
+
"loss": 0.3747,
|
| 676 |
+
"nll_loss": 1.4921875,
|
| 677 |
+
"rewards/accuracies": 1.0,
|
| 678 |
+
"rewards/chosen": 2.71875,
|
| 679 |
+
"rewards/margins": 5.125,
|
| 680 |
+
"rewards/rejected": -2.40625,
|
| 681 |
+
"step": 42
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.25146198830409355,
|
| 685 |
+
"grad_norm": 0.6711202263832092,
|
| 686 |
+
"learning_rate": 8.951963347593797e-06,
|
| 687 |
+
"logits/chosen": -0.016357421875,
|
| 688 |
+
"logits/rejected": -0.11767578125,
|
| 689 |
+
"logps/chosen": -85.5,
|
| 690 |
+
"logps/rejected": -28.5,
|
| 691 |
+
"loss": 0.3522,
|
| 692 |
+
"nll_loss": 1.21875,
|
| 693 |
+
"rewards/accuracies": 1.0,
|
| 694 |
+
"rewards/chosen": 0.171875,
|
| 695 |
+
"rewards/margins": 4.71875,
|
| 696 |
+
"rewards/rejected": -4.5625,
|
| 697 |
+
"step": 43
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.2573099415204678,
|
| 701 |
+
"grad_norm": 0.550448477268219,
|
| 702 |
+
"learning_rate": 8.891824559620801e-06,
|
| 703 |
+
"logits/chosen": 0.03173828125,
|
| 704 |
+
"logits/rejected": -0.0693359375,
|
| 705 |
+
"logps/chosen": -116.0,
|
| 706 |
+
"logps/rejected": -52.75,
|
| 707 |
+
"loss": 0.3389,
|
| 708 |
+
"nll_loss": 1.4375,
|
| 709 |
+
"rewards/accuracies": 1.0,
|
| 710 |
+
"rewards/chosen": 2.375,
|
| 711 |
+
"rewards/margins": 8.8125,
|
| 712 |
+
"rewards/rejected": -6.4375,
|
| 713 |
+
"step": 44
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 0.2631578947368421,
|
| 717 |
+
"grad_norm": 0.6417452096939087,
|
| 718 |
+
"learning_rate": 8.83022221559489e-06,
|
| 719 |
+
"logits/chosen": 0.3828125,
|
| 720 |
+
"logits/rejected": 0.376953125,
|
| 721 |
+
"logps/chosen": -68.5,
|
| 722 |
+
"logps/rejected": -11.8125,
|
| 723 |
+
"loss": 0.3363,
|
| 724 |
+
"nll_loss": 1.34375,
|
| 725 |
+
"rewards/accuracies": 1.0,
|
| 726 |
+
"rewards/chosen": 2.25,
|
| 727 |
+
"rewards/margins": 4.5625,
|
| 728 |
+
"rewards/rejected": -2.3125,
|
| 729 |
+
"step": 45
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 0.26900584795321636,
|
| 733 |
+
"grad_norm": 1.0228935480117798,
|
| 734 |
+
"learning_rate": 8.767179481638303e-06,
|
| 735 |
+
"logits/chosen": 0.0311279296875,
|
| 736 |
+
"logits/rejected": 0.1357421875,
|
| 737 |
+
"logps/chosen": -119.0,
|
| 738 |
+
"logps/rejected": -57.75,
|
| 739 |
+
"loss": 0.3219,
|
| 740 |
+
"nll_loss": 1.171875,
|
| 741 |
+
"rewards/accuracies": 0.75,
|
| 742 |
+
"rewards/chosen": -0.875,
|
| 743 |
+
"rewards/margins": 5.375,
|
| 744 |
+
"rewards/rejected": -6.28125,
|
| 745 |
+
"step": 46
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.27485380116959063,
|
| 749 |
+
"grad_norm": 0.4747965335845947,
|
| 750 |
+
"learning_rate": 8.702720065545024e-06,
|
| 751 |
+
"logits/chosen": 0.2578125,
|
| 752 |
+
"logits/rejected": 0.3828125,
|
| 753 |
+
"logps/chosen": -73.0,
|
| 754 |
+
"logps/rejected": -31.375,
|
| 755 |
+
"loss": 0.2988,
|
| 756 |
+
"nll_loss": 1.1484375,
|
| 757 |
+
"rewards/accuracies": 1.0,
|
| 758 |
+
"rewards/chosen": 2.421875,
|
| 759 |
+
"rewards/margins": 7.65625,
|
| 760 |
+
"rewards/rejected": -5.21875,
|
| 761 |
+
"step": 47
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.2807017543859649,
|
| 765 |
+
"grad_norm": 0.8870027661323547,
|
| 766 |
+
"learning_rate": 8.636868207865244e-06,
|
| 767 |
+
"logits/chosen": 0.177734375,
|
| 768 |
+
"logits/rejected": 0.201171875,
|
| 769 |
+
"logps/chosen": -97.0,
|
| 770 |
+
"logps/rejected": -14.5,
|
| 771 |
+
"loss": 0.3397,
|
| 772 |
+
"nll_loss": 1.3671875,
|
| 773 |
+
"rewards/accuracies": 1.0,
|
| 774 |
+
"rewards/chosen": 2.5625,
|
| 775 |
+
"rewards/margins": 5.9375,
|
| 776 |
+
"rewards/rejected": -3.375,
|
| 777 |
+
"step": 48
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 0.28654970760233917,
|
| 781 |
+
"grad_norm": 0.7480011582374573,
|
| 782 |
+
"learning_rate": 8.569648672789496e-06,
|
| 783 |
+
"logits/chosen": -0.2060546875,
|
| 784 |
+
"logits/rejected": -0.11865234375,
|
| 785 |
+
"logps/chosen": -101.5,
|
| 786 |
+
"logps/rejected": -34.25,
|
| 787 |
+
"loss": 0.3369,
|
| 788 |
+
"nll_loss": 1.6328125,
|
| 789 |
+
"rewards/accuracies": 1.0,
|
| 790 |
+
"rewards/chosen": 3.03125,
|
| 791 |
+
"rewards/margins": 7.0,
|
| 792 |
+
"rewards/rejected": -3.984375,
|
| 793 |
+
"step": 49
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.29239766081871343,
|
| 797 |
+
"grad_norm": 0.6633922457695007,
|
| 798 |
+
"learning_rate": 8.501086738835843e-06,
|
| 799 |
+
"logits/chosen": 0.19921875,
|
| 800 |
+
"logits/rejected": 0.353515625,
|
| 801 |
+
"logps/chosen": -115.5,
|
| 802 |
+
"logps/rejected": -47.25,
|
| 803 |
+
"loss": 0.3193,
|
| 804 |
+
"nll_loss": 1.421875,
|
| 805 |
+
"rewards/accuracies": 1.0,
|
| 806 |
+
"rewards/chosen": 2.6875,
|
| 807 |
+
"rewards/margins": 8.9375,
|
| 808 |
+
"rewards/rejected": -6.25,
|
| 809 |
+
"step": 50
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 0.2982456140350877,
|
| 813 |
+
"grad_norm": 0.5760066509246826,
|
| 814 |
+
"learning_rate": 8.43120818934367e-06,
|
| 815 |
+
"logits/chosen": -0.06787109375,
|
| 816 |
+
"logits/rejected": 0.1962890625,
|
| 817 |
+
"logps/chosen": -126.0,
|
| 818 |
+
"logps/rejected": -22.0,
|
| 819 |
+
"loss": 0.3117,
|
| 820 |
+
"nll_loss": 1.59375,
|
| 821 |
+
"rewards/accuracies": 1.0,
|
| 822 |
+
"rewards/chosen": 3.21875,
|
| 823 |
+
"rewards/margins": 7.125,
|
| 824 |
+
"rewards/rejected": -3.890625,
|
| 825 |
+
"step": 51
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 0.30409356725146197,
|
| 829 |
+
"grad_norm": 0.8805516958236694,
|
| 830 |
+
"learning_rate": 8.360039302777614e-06,
|
| 831 |
+
"logits/chosen": 0.03125,
|
| 832 |
+
"logits/rejected": 0.216796875,
|
| 833 |
+
"logps/chosen": -64.0,
|
| 834 |
+
"logps/rejected": -17.125,
|
| 835 |
+
"loss": 0.3623,
|
| 836 |
+
"nll_loss": 1.5546875,
|
| 837 |
+
"rewards/accuracies": 1.0,
|
| 838 |
+
"rewards/chosen": 2.125,
|
| 839 |
+
"rewards/margins": 5.96875,
|
| 840 |
+
"rewards/rejected": -3.828125,
|
| 841 |
+
"step": 52
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 0.30994152046783624,
|
| 845 |
+
"grad_norm": 0.927228569984436,
|
| 846 |
+
"learning_rate": 8.28760684284532e-06,
|
| 847 |
+
"logits/chosen": 0.054931640625,
|
| 848 |
+
"logits/rejected": 0.16796875,
|
| 849 |
+
"logps/chosen": -94.0,
|
| 850 |
+
"logps/rejected": -58.0,
|
| 851 |
+
"loss": 0.3184,
|
| 852 |
+
"nll_loss": 1.1796875,
|
| 853 |
+
"rewards/accuracies": 1.0,
|
| 854 |
+
"rewards/chosen": -0.03515625,
|
| 855 |
+
"rewards/margins": 6.46875,
|
| 856 |
+
"rewards/rejected": -6.5,
|
| 857 |
+
"step": 53
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.3157894736842105,
|
| 861 |
+
"grad_norm": 1.1748754978179932,
|
| 862 |
+
"learning_rate": 8.213938048432697e-06,
|
| 863 |
+
"logits/chosen": 0.306640625,
|
| 864 |
+
"logits/rejected": 0.69140625,
|
| 865 |
+
"logps/chosen": -30.625,
|
| 866 |
+
"logps/rejected": -8.375,
|
| 867 |
+
"loss": 0.3766,
|
| 868 |
+
"nll_loss": 1.2265625,
|
| 869 |
+
"rewards/accuracies": 1.0,
|
| 870 |
+
"rewards/chosen": 0.78125,
|
| 871 |
+
"rewards/margins": 3.1875,
|
| 872 |
+
"rewards/rejected": -2.40625,
|
| 873 |
+
"step": 54
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.3216374269005848,
|
| 877 |
+
"grad_norm": 1.0034699440002441,
|
| 878 |
+
"learning_rate": 8.139060623360494e-06,
|
| 879 |
+
"logits/chosen": 0.0478515625,
|
| 880 |
+
"logits/rejected": 0.1298828125,
|
| 881 |
+
"logps/chosen": -88.0,
|
| 882 |
+
"logps/rejected": -56.5,
|
| 883 |
+
"loss": 0.321,
|
| 884 |
+
"nll_loss": 1.2265625,
|
| 885 |
+
"rewards/accuracies": 1.0,
|
| 886 |
+
"rewards/chosen": 1.0625,
|
| 887 |
+
"rewards/margins": 7.5,
|
| 888 |
+
"rewards/rejected": -6.4375,
|
| 889 |
+
"step": 55
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"epoch": 0.32748538011695905,
|
| 893 |
+
"grad_norm": 1.2884156703948975,
|
| 894 |
+
"learning_rate": 8.063002725966014e-06,
|
| 895 |
+
"logits/chosen": -0.1767578125,
|
| 896 |
+
"logits/rejected": -0.1357421875,
|
| 897 |
+
"logps/chosen": -80.5,
|
| 898 |
+
"logps/rejected": -52.25,
|
| 899 |
+
"loss": 0.3215,
|
| 900 |
+
"nll_loss": 1.15625,
|
| 901 |
+
"rewards/accuracies": 1.0,
|
| 902 |
+
"rewards/chosen": -0.703125,
|
| 903 |
+
"rewards/margins": 5.71875,
|
| 904 |
+
"rewards/rejected": -6.40625,
|
| 905 |
+
"step": 56
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.3333333333333333,
|
| 909 |
+
"grad_norm": 0.9113926887512207,
|
| 910 |
+
"learning_rate": 7.985792958513932e-06,
|
| 911 |
+
"logits/chosen": 0.189453125,
|
| 912 |
+
"logits/rejected": 0.1650390625,
|
| 913 |
+
"logps/chosen": -59.0,
|
| 914 |
+
"logps/rejected": -26.75,
|
| 915 |
+
"loss": 0.3581,
|
| 916 |
+
"nll_loss": 1.2734375,
|
| 917 |
+
"rewards/accuracies": 1.0,
|
| 918 |
+
"rewards/chosen": -0.046875,
|
| 919 |
+
"rewards/margins": 3.8125,
|
| 920 |
+
"rewards/rejected": -3.875,
|
| 921 |
+
"step": 57
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 0.3391812865497076,
|
| 925 |
+
"grad_norm": 0.5659676194190979,
|
| 926 |
+
"learning_rate": 7.907460356440133e-06,
|
| 927 |
+
"logits/chosen": -0.042724609375,
|
| 928 |
+
"logits/rejected": 0.043212890625,
|
| 929 |
+
"logps/chosen": -91.5,
|
| 930 |
+
"logps/rejected": -41.5,
|
| 931 |
+
"loss": 0.3509,
|
| 932 |
+
"nll_loss": 1.6484375,
|
| 933 |
+
"rewards/accuracies": 1.0,
|
| 934 |
+
"rewards/chosen": 2.75,
|
| 935 |
+
"rewards/margins": 8.9375,
|
| 936 |
+
"rewards/rejected": -6.21875,
|
| 937 |
+
"step": 58
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"epoch": 0.34502923976608185,
|
| 941 |
+
"grad_norm": 0.5110981464385986,
|
| 942 |
+
"learning_rate": 7.828034377432694e-06,
|
| 943 |
+
"logits/chosen": 0.259765625,
|
| 944 |
+
"logits/rejected": 0.46875,
|
| 945 |
+
"logps/chosen": -23.25,
|
| 946 |
+
"logps/rejected": -12.625,
|
| 947 |
+
"loss": 0.2972,
|
| 948 |
+
"nll_loss": 1.0703125,
|
| 949 |
+
"rewards/accuracies": 1.0,
|
| 950 |
+
"rewards/chosen": 0.0947265625,
|
| 951 |
+
"rewards/margins": 2.671875,
|
| 952 |
+
"rewards/rejected": -2.5625,
|
| 953 |
+
"step": 59
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 0.3508771929824561,
|
| 957 |
+
"grad_norm": 0.7066183686256409,
|
| 958 |
+
"learning_rate": 7.747544890354031e-06,
|
| 959 |
+
"logits/chosen": -0.00799560546875,
|
| 960 |
+
"logits/rejected": -0.049560546875,
|
| 961 |
+
"logps/chosen": -172.0,
|
| 962 |
+
"logps/rejected": -39.5,
|
| 963 |
+
"loss": 0.3223,
|
| 964 |
+
"nll_loss": 1.5078125,
|
| 965 |
+
"rewards/accuracies": 1.0,
|
| 966 |
+
"rewards/chosen": 3.5,
|
| 967 |
+
"rewards/margins": 8.3125,
|
| 968 |
+
"rewards/rejected": -4.8125,
|
| 969 |
+
"step": 60
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.3567251461988304,
|
| 973 |
+
"grad_norm": 1.2593711614608765,
|
| 974 |
+
"learning_rate": 7.666022164008458e-06,
|
| 975 |
+
"logits/chosen": -0.123046875,
|
| 976 |
+
"logits/rejected": -0.00150299072265625,
|
| 977 |
+
"logps/chosen": -85.5,
|
| 978 |
+
"logps/rejected": -20.25,
|
| 979 |
+
"loss": 0.4053,
|
| 980 |
+
"nll_loss": 1.640625,
|
| 981 |
+
"rewards/accuracies": 1.0,
|
| 982 |
+
"rewards/chosen": 1.828125,
|
| 983 |
+
"rewards/margins": 6.03125,
|
| 984 |
+
"rewards/rejected": -4.1875,
|
| 985 |
+
"step": 61
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 0.36257309941520466,
|
| 989 |
+
"grad_norm": 0.36089378595352173,
|
| 990 |
+
"learning_rate": 7.5834968557593155e-06,
|
| 991 |
+
"logits/chosen": 0.006591796875,
|
| 992 |
+
"logits/rejected": -0.1025390625,
|
| 993 |
+
"logps/chosen": -66.5,
|
| 994 |
+
"logps/rejected": -24.625,
|
| 995 |
+
"loss": 0.3109,
|
| 996 |
+
"nll_loss": 1.21875,
|
| 997 |
+
"rewards/accuracies": 1.0,
|
| 998 |
+
"rewards/chosen": -0.6640625,
|
| 999 |
+
"rewards/margins": 3.546875,
|
| 1000 |
+
"rewards/rejected": -4.1875,
|
| 1001 |
+
"step": 62
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 0.3684210526315789,
|
| 1005 |
+
"grad_norm": 0.4141497015953064,
|
| 1006 |
+
"learning_rate": 7.500000000000001e-06,
|
| 1007 |
+
"logits/chosen": 0.0186767578125,
|
| 1008 |
+
"logits/rejected": -0.00518798828125,
|
| 1009 |
+
"logps/chosen": -93.5,
|
| 1010 |
+
"logps/rejected": -44.75,
|
| 1011 |
+
"loss": 0.2959,
|
| 1012 |
+
"nll_loss": 1.3828125,
|
| 1013 |
+
"rewards/accuracies": 1.0,
|
| 1014 |
+
"rewards/chosen": 0.03125,
|
| 1015 |
+
"rewards/margins": 5.9375,
|
| 1016 |
+
"rewards/rejected": -5.90625,
|
| 1017 |
+
"step": 63
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.3742690058479532,
|
| 1021 |
+
"grad_norm": 0.21456825733184814,
|
| 1022 |
+
"learning_rate": 7.415562996483193e-06,
|
| 1023 |
+
"logits/chosen": 0.205078125,
|
| 1024 |
+
"logits/rejected": 0.019775390625,
|
| 1025 |
+
"logps/chosen": -58.25,
|
| 1026 |
+
"logps/rejected": -21.5,
|
| 1027 |
+
"loss": 0.2822,
|
| 1028 |
+
"nll_loss": 1.2265625,
|
| 1029 |
+
"rewards/accuracies": 1.0,
|
| 1030 |
+
"rewards/chosen": 3.125,
|
| 1031 |
+
"rewards/margins": 6.9375,
|
| 1032 |
+
"rewards/rejected": -3.828125,
|
| 1033 |
+
"step": 64
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 0.38011695906432746,
|
| 1037 |
+
"grad_norm": 0.5265213251113892,
|
| 1038 |
+
"learning_rate": 7.330217598512696e-06,
|
| 1039 |
+
"logits/chosen": 0.177734375,
|
| 1040 |
+
"logits/rejected": 0.447265625,
|
| 1041 |
+
"logps/chosen": -78.0,
|
| 1042 |
+
"logps/rejected": -14.0,
|
| 1043 |
+
"loss": 0.3379,
|
| 1044 |
+
"nll_loss": 1.3671875,
|
| 1045 |
+
"rewards/accuracies": 1.0,
|
| 1046 |
+
"rewards/chosen": 2.03125,
|
| 1047 |
+
"rewards/margins": 5.4375,
|
| 1048 |
+
"rewards/rejected": -3.390625,
|
| 1049 |
+
"step": 65
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 0.38596491228070173,
|
| 1053 |
+
"grad_norm": 0.46037861704826355,
|
| 1054 |
+
"learning_rate": 7.243995901002312e-06,
|
| 1055 |
+
"logits/chosen": 0.142578125,
|
| 1056 |
+
"logits/rejected": 0.041748046875,
|
| 1057 |
+
"logps/chosen": -107.0,
|
| 1058 |
+
"logps/rejected": -39.0,
|
| 1059 |
+
"loss": 0.3047,
|
| 1060 |
+
"nll_loss": 1.421875,
|
| 1061 |
+
"rewards/accuracies": 1.0,
|
| 1062 |
+
"rewards/chosen": 1.25,
|
| 1063 |
+
"rewards/margins": 7.28125,
|
| 1064 |
+
"rewards/rejected": -6.03125,
|
| 1065 |
+
"step": 66
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 0.391812865497076,
|
| 1069 |
+
"grad_norm": 0.7725083231925964,
|
| 1070 |
+
"learning_rate": 7.156930328406268e-06,
|
| 1071 |
+
"logits/chosen": -0.130859375,
|
| 1072 |
+
"logits/rejected": -0.0228271484375,
|
| 1073 |
+
"logps/chosen": -126.0,
|
| 1074 |
+
"logps/rejected": -62.0,
|
| 1075 |
+
"loss": 0.3267,
|
| 1076 |
+
"nll_loss": 1.28125,
|
| 1077 |
+
"rewards/accuracies": 1.0,
|
| 1078 |
+
"rewards/chosen": 0.4375,
|
| 1079 |
+
"rewards/margins": 8.125,
|
| 1080 |
+
"rewards/rejected": -7.6875,
|
| 1081 |
+
"step": 67
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.39766081871345027,
|
| 1085 |
+
"grad_norm": 0.8484850525856018,
|
| 1086 |
+
"learning_rate": 7.069053622525697e-06,
|
| 1087 |
+
"logits/chosen": -0.020263671875,
|
| 1088 |
+
"logits/rejected": 0.369140625,
|
| 1089 |
+
"logps/chosen": -95.5,
|
| 1090 |
+
"logps/rejected": -31.5,
|
| 1091 |
+
"loss": 0.3545,
|
| 1092 |
+
"nll_loss": 1.5859375,
|
| 1093 |
+
"rewards/accuracies": 0.75,
|
| 1094 |
+
"rewards/chosen": 1.75,
|
| 1095 |
+
"rewards/margins": 5.4375,
|
| 1096 |
+
"rewards/rejected": -3.6875,
|
| 1097 |
+
"step": 68
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 0.40350877192982454,
|
| 1101 |
+
"grad_norm": 0.7983413338661194,
|
| 1102 |
+
"learning_rate": 6.980398830195785e-06,
|
| 1103 |
+
"logits/chosen": 0.296875,
|
| 1104 |
+
"logits/rejected": 0.255859375,
|
| 1105 |
+
"logps/chosen": -34.5,
|
| 1106 |
+
"logps/rejected": -22.875,
|
| 1107 |
+
"loss": 0.3704,
|
| 1108 |
+
"nll_loss": 1.2265625,
|
| 1109 |
+
"rewards/accuracies": 1.0,
|
| 1110 |
+
"rewards/chosen": 0.33203125,
|
| 1111 |
+
"rewards/margins": 3.53125,
|
| 1112 |
+
"rewards/rejected": -3.1875,
|
| 1113 |
+
"step": 69
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"epoch": 0.4093567251461988,
|
| 1117 |
+
"grad_norm": 0.6347444653511047,
|
| 1118 |
+
"learning_rate": 6.890999290858213e-06,
|
| 1119 |
+
"logits/chosen": 0.1904296875,
|
| 1120 |
+
"logits/rejected": 0.330078125,
|
| 1121 |
+
"logps/chosen": -78.5,
|
| 1122 |
+
"logps/rejected": -36.25,
|
| 1123 |
+
"loss": 0.3239,
|
| 1124 |
+
"nll_loss": 1.1640625,
|
| 1125 |
+
"rewards/accuracies": 1.0,
|
| 1126 |
+
"rewards/chosen": 0.0703125,
|
| 1127 |
+
"rewards/margins": 5.78125,
|
| 1128 |
+
"rewards/rejected": -5.6875,
|
| 1129 |
+
"step": 70
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.4152046783625731,
|
| 1133 |
+
"grad_norm": 1.4213659763336182,
|
| 1134 |
+
"learning_rate": 6.800888624023552e-06,
|
| 1135 |
+
"logits/chosen": -0.048583984375,
|
| 1136 |
+
"logits/rejected": -0.310546875,
|
| 1137 |
+
"logps/chosen": -72.0,
|
| 1138 |
+
"logps/rejected": -39.5,
|
| 1139 |
+
"loss": 0.3571,
|
| 1140 |
+
"nll_loss": 1.4609375,
|
| 1141 |
+
"rewards/accuracies": 1.0,
|
| 1142 |
+
"rewards/chosen": 2.25,
|
| 1143 |
+
"rewards/margins": 6.75,
|
| 1144 |
+
"rewards/rejected": -4.5,
|
| 1145 |
+
"step": 71
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 0.42105263157894735,
|
| 1149 |
+
"grad_norm": 0.8988905549049377,
|
| 1150 |
+
"learning_rate": 6.710100716628345e-06,
|
| 1151 |
+
"logits/chosen": 0.1845703125,
|
| 1152 |
+
"logits/rejected": -0.0242919921875,
|
| 1153 |
+
"logps/chosen": -59.0,
|
| 1154 |
+
"logps/rejected": -21.25,
|
| 1155 |
+
"loss": 0.3424,
|
| 1156 |
+
"nll_loss": 1.3125,
|
| 1157 |
+
"rewards/accuracies": 1.0,
|
| 1158 |
+
"rewards/chosen": -0.0625,
|
| 1159 |
+
"rewards/margins": 2.78125,
|
| 1160 |
+
"rewards/rejected": -2.84375,
|
| 1161 |
+
"step": 72
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 0.4269005847953216,
|
| 1165 |
+
"grad_norm": 0.47313231229782104,
|
| 1166 |
+
"learning_rate": 6.618669710291607e-06,
|
| 1167 |
+
"logits/chosen": 0.11279296875,
|
| 1168 |
+
"logits/rejected": 0.10986328125,
|
| 1169 |
+
"logps/chosen": -105.5,
|
| 1170 |
+
"logps/rejected": -47.25,
|
| 1171 |
+
"loss": 0.3132,
|
| 1172 |
+
"nll_loss": 1.515625,
|
| 1173 |
+
"rewards/accuracies": 1.0,
|
| 1174 |
+
"rewards/chosen": 3.75,
|
| 1175 |
+
"rewards/margins": 10.0,
|
| 1176 |
+
"rewards/rejected": -6.21875,
|
| 1177 |
+
"step": 73
|
| 1178 |
+
},
|
| 1179 |
+
{
|
| 1180 |
+
"epoch": 0.4327485380116959,
|
| 1181 |
+
"grad_norm": 0.5204113721847534,
|
| 1182 |
+
"learning_rate": 6.526629988475567e-06,
|
| 1183 |
+
"logits/chosen": 0.10400390625,
|
| 1184 |
+
"logits/rejected": 0.000659942626953125,
|
| 1185 |
+
"logps/chosen": -99.0,
|
| 1186 |
+
"logps/rejected": -30.125,
|
| 1187 |
+
"loss": 0.2962,
|
| 1188 |
+
"nll_loss": 1.359375,
|
| 1189 |
+
"rewards/accuracies": 1.0,
|
| 1190 |
+
"rewards/chosen": 3.125,
|
| 1191 |
+
"rewards/margins": 7.59375,
|
| 1192 |
+
"rewards/rejected": -4.46875,
|
| 1193 |
+
"step": 74
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.43859649122807015,
|
| 1197 |
+
"grad_norm": 0.5024166703224182,
|
| 1198 |
+
"learning_rate": 6.434016163555452e-06,
|
| 1199 |
+
"logits/chosen": 0.140625,
|
| 1200 |
+
"logits/rejected": 0.51171875,
|
| 1201 |
+
"logps/chosen": -94.5,
|
| 1202 |
+
"logps/rejected": -30.625,
|
| 1203 |
+
"loss": 0.2926,
|
| 1204 |
+
"nll_loss": 1.34375,
|
| 1205 |
+
"rewards/accuracies": 1.0,
|
| 1206 |
+
"rewards/chosen": 1.984375,
|
| 1207 |
+
"rewards/margins": 5.90625,
|
| 1208 |
+
"rewards/rejected": -3.90625,
|
| 1209 |
+
"step": 75
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 0.4444444444444444,
|
| 1213 |
+
"grad_norm": 0.8214257955551147,
|
| 1214 |
+
"learning_rate": 6.340863063803187e-06,
|
| 1215 |
+
"logits/chosen": 0.1650390625,
|
| 1216 |
+
"logits/rejected": 0.4296875,
|
| 1217 |
+
"logps/chosen": -69.0,
|
| 1218 |
+
"logps/rejected": -20.25,
|
| 1219 |
+
"loss": 0.3695,
|
| 1220 |
+
"nll_loss": 1.546875,
|
| 1221 |
+
"rewards/accuracies": 1.0,
|
| 1222 |
+
"rewards/chosen": 1.2890625,
|
| 1223 |
+
"rewards/margins": 4.0625,
|
| 1224 |
+
"rewards/rejected": -2.78125,
|
| 1225 |
+
"step": 76
|
| 1226 |
+
},
|
| 1227 |
+
{
|
| 1228 |
+
"epoch": 0.4502923976608187,
|
| 1229 |
+
"grad_norm": 0.5306276082992554,
|
| 1230 |
+
"learning_rate": 6.247205720289907e-06,
|
| 1231 |
+
"logits/chosen": 0.2353515625,
|
| 1232 |
+
"logits/rejected": 0.28515625,
|
| 1233 |
+
"logps/chosen": -90.5,
|
| 1234 |
+
"logps/rejected": -10.6875,
|
| 1235 |
+
"loss": 0.3353,
|
| 1236 |
+
"nll_loss": 1.5234375,
|
| 1237 |
+
"rewards/accuracies": 1.0,
|
| 1238 |
+
"rewards/chosen": 3.09375,
|
| 1239 |
+
"rewards/margins": 6.46875,
|
| 1240 |
+
"rewards/rejected": -3.375,
|
| 1241 |
+
"step": 77
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.45614035087719296,
|
| 1245 |
+
"grad_norm": 0.7573875188827515,
|
| 1246 |
+
"learning_rate": 6.153079353712201e-06,
|
| 1247 |
+
"logits/chosen": -0.24609375,
|
| 1248 |
+
"logits/rejected": -0.33203125,
|
| 1249 |
+
"logps/chosen": -75.0,
|
| 1250 |
+
"logps/rejected": -40.5,
|
| 1251 |
+
"loss": 0.3079,
|
| 1252 |
+
"nll_loss": 1.3046875,
|
| 1253 |
+
"rewards/accuracies": 1.0,
|
| 1254 |
+
"rewards/chosen": 0.2734375,
|
| 1255 |
+
"rewards/margins": 5.125,
|
| 1256 |
+
"rewards/rejected": -4.84375,
|
| 1257 |
+
"step": 78
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 0.4619883040935672,
|
| 1261 |
+
"grad_norm": 0.8065016865730286,
|
| 1262 |
+
"learning_rate": 6.058519361147055e-06,
|
| 1263 |
+
"logits/chosen": 0.240234375,
|
| 1264 |
+
"logits/rejected": 0.318359375,
|
| 1265 |
+
"logps/chosen": -79.5,
|
| 1266 |
+
"logps/rejected": -13.5,
|
| 1267 |
+
"loss": 0.3405,
|
| 1268 |
+
"nll_loss": 1.453125,
|
| 1269 |
+
"rewards/accuracies": 1.0,
|
| 1270 |
+
"rewards/chosen": 3.625,
|
| 1271 |
+
"rewards/margins": 7.03125,
|
| 1272 |
+
"rewards/rejected": -3.40625,
|
| 1273 |
+
"step": 79
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 0.4678362573099415,
|
| 1277 |
+
"grad_norm": 0.41012996435165405,
|
| 1278 |
+
"learning_rate": 5.9635613027404495e-06,
|
| 1279 |
+
"logits/chosen": 0.09326171875,
|
| 1280 |
+
"logits/rejected": 0.02490234375,
|
| 1281 |
+
"logps/chosen": -95.0,
|
| 1282 |
+
"logps/rejected": -31.75,
|
| 1283 |
+
"loss": 0.3265,
|
| 1284 |
+
"nll_loss": 1.5546875,
|
| 1285 |
+
"rewards/accuracies": 1.0,
|
| 1286 |
+
"rewards/chosen": 3.9375,
|
| 1287 |
+
"rewards/margins": 8.4375,
|
| 1288 |
+
"rewards/rejected": -4.5,
|
| 1289 |
+
"step": 80
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"epoch": 0.47368421052631576,
|
| 1293 |
+
"grad_norm": 0.5796492695808411,
|
| 1294 |
+
"learning_rate": 5.8682408883346535e-06,
|
| 1295 |
+
"logits/chosen": 0.2490234375,
|
| 1296 |
+
"logits/rejected": 0.59765625,
|
| 1297 |
+
"logps/chosen": -61.25,
|
| 1298 |
+
"logps/rejected": -9.0,
|
| 1299 |
+
"loss": 0.3291,
|
| 1300 |
+
"nll_loss": 1.375,
|
| 1301 |
+
"rewards/accuracies": 1.0,
|
| 1302 |
+
"rewards/chosen": 1.8125,
|
| 1303 |
+
"rewards/margins": 4.125,
|
| 1304 |
+
"rewards/rejected": -2.296875,
|
| 1305 |
+
"step": 81
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.47953216374269003,
|
| 1309 |
+
"grad_norm": 0.37575745582580566,
|
| 1310 |
+
"learning_rate": 5.772593964039203e-06,
|
| 1311 |
+
"logits/chosen": -0.2119140625,
|
| 1312 |
+
"logits/rejected": -0.00066375732421875,
|
| 1313 |
+
"logps/chosen": -164.0,
|
| 1314 |
+
"logps/rejected": -44.0,
|
| 1315 |
+
"loss": 0.2995,
|
| 1316 |
+
"nll_loss": 1.4453125,
|
| 1317 |
+
"rewards/accuracies": 1.0,
|
| 1318 |
+
"rewards/chosen": 4.3125,
|
| 1319 |
+
"rewards/margins": 10.8125,
|
| 1320 |
+
"rewards/rejected": -6.5,
|
| 1321 |
+
"step": 82
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 0.4853801169590643,
|
| 1325 |
+
"grad_norm": 0.37623926997184753,
|
| 1326 |
+
"learning_rate": 5.6766564987506564e-06,
|
| 1327 |
+
"logits/chosen": 0.173828125,
|
| 1328 |
+
"logits/rejected": -0.07568359375,
|
| 1329 |
+
"logps/chosen": -68.5,
|
| 1330 |
+
"logps/rejected": -42.0,
|
| 1331 |
+
"loss": 0.3045,
|
| 1332 |
+
"nll_loss": 1.1796875,
|
| 1333 |
+
"rewards/accuracies": 1.0,
|
| 1334 |
+
"rewards/chosen": 0.171875,
|
| 1335 |
+
"rewards/margins": 6.0625,
|
| 1336 |
+
"rewards/rejected": -5.875,
|
| 1337 |
+
"step": 83
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 0.49122807017543857,
|
| 1341 |
+
"grad_norm": 0.6429110765457153,
|
| 1342 |
+
"learning_rate": 5.5804645706261515e-06,
|
| 1343 |
+
"logits/chosen": -0.18359375,
|
| 1344 |
+
"logits/rejected": 0.1103515625,
|
| 1345 |
+
"logps/chosen": -124.5,
|
| 1346 |
+
"logps/rejected": -25.75,
|
| 1347 |
+
"loss": 0.3444,
|
| 1348 |
+
"nll_loss": 1.46875,
|
| 1349 |
+
"rewards/accuracies": 1.0,
|
| 1350 |
+
"rewards/chosen": 2.6875,
|
| 1351 |
+
"rewards/margins": 7.125,
|
| 1352 |
+
"rewards/rejected": -4.4375,
|
| 1353 |
+
"step": 84
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.49707602339181284,
|
| 1357 |
+
"grad_norm": 0.5742049217224121,
|
| 1358 |
+
"learning_rate": 5.484054353515896e-06,
|
| 1359 |
+
"logits/chosen": -0.150390625,
|
| 1360 |
+
"logits/rejected": 0.2001953125,
|
| 1361 |
+
"logps/chosen": -97.0,
|
| 1362 |
+
"logps/rejected": -52.25,
|
| 1363 |
+
"loss": 0.3678,
|
| 1364 |
+
"nll_loss": 1.328125,
|
| 1365 |
+
"rewards/accuracies": 1.0,
|
| 1366 |
+
"rewards/chosen": 0.4375,
|
| 1367 |
+
"rewards/margins": 8.8125,
|
| 1368 |
+
"rewards/rejected": -8.375,
|
| 1369 |
+
"step": 85
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 0.5029239766081871,
|
| 1373 |
+
"grad_norm": 0.42503976821899414,
|
| 1374 |
+
"learning_rate": 5.387462103359655e-06,
|
| 1375 |
+
"logits/chosen": 0.2216796875,
|
| 1376 |
+
"logits/rejected": 0.34375,
|
| 1377 |
+
"logps/chosen": -91.0,
|
| 1378 |
+
"logps/rejected": -15.5625,
|
| 1379 |
+
"loss": 0.2835,
|
| 1380 |
+
"nll_loss": 1.3515625,
|
| 1381 |
+
"rewards/accuracies": 1.0,
|
| 1382 |
+
"rewards/chosen": 5.40625,
|
| 1383 |
+
"rewards/margins": 9.625,
|
| 1384 |
+
"rewards/rejected": -4.21875,
|
| 1385 |
+
"step": 86
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 0.5087719298245614,
|
| 1389 |
+
"grad_norm": 1.4887723922729492,
|
| 1390 |
+
"learning_rate": 5.290724144552379e-06,
|
| 1391 |
+
"logits/chosen": -0.34375,
|
| 1392 |
+
"logits/rejected": -0.177734375,
|
| 1393 |
+
"logps/chosen": -106.0,
|
| 1394 |
+
"logps/rejected": -34.0,
|
| 1395 |
+
"loss": 0.3737,
|
| 1396 |
+
"nll_loss": 1.4765625,
|
| 1397 |
+
"rewards/accuracies": 1.0,
|
| 1398 |
+
"rewards/chosen": 1.375,
|
| 1399 |
+
"rewards/margins": 6.125,
|
| 1400 |
+
"rewards/rejected": -4.75,
|
| 1401 |
+
"step": 87
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 0.5146198830409356,
|
| 1405 |
+
"grad_norm": 0.6670490503311157,
|
| 1406 |
+
"learning_rate": 5.193876856284085e-06,
|
| 1407 |
+
"logits/chosen": 0.310546875,
|
| 1408 |
+
"logits/rejected": 0.3359375,
|
| 1409 |
+
"logps/chosen": -34.0,
|
| 1410 |
+
"logps/rejected": -19.5,
|
| 1411 |
+
"loss": 0.3307,
|
| 1412 |
+
"nll_loss": 1.03125,
|
| 1413 |
+
"rewards/accuracies": 1.0,
|
| 1414 |
+
"rewards/chosen": 1.703125,
|
| 1415 |
+
"rewards/margins": 5.75,
|
| 1416 |
+
"rewards/rejected": -4.0625,
|
| 1417 |
+
"step": 88
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.52046783625731,
|
| 1421 |
+
"grad_norm": 0.2873896062374115,
|
| 1422 |
+
"learning_rate": 5.096956658859122e-06,
|
| 1423 |
+
"logits/chosen": -0.08544921875,
|
| 1424 |
+
"logits/rejected": -0.06494140625,
|
| 1425 |
+
"logps/chosen": -79.5,
|
| 1426 |
+
"logps/rejected": -17.25,
|
| 1427 |
+
"loss": 0.2904,
|
| 1428 |
+
"nll_loss": 1.3671875,
|
| 1429 |
+
"rewards/accuracies": 1.0,
|
| 1430 |
+
"rewards/chosen": 1.953125,
|
| 1431 |
+
"rewards/margins": 5.90625,
|
| 1432 |
+
"rewards/rejected": -3.953125,
|
| 1433 |
+
"step": 89
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 0.5263157894736842,
|
| 1437 |
+
"grad_norm": 0.8809191584587097,
|
| 1438 |
+
"learning_rate": 5e-06,
|
| 1439 |
+
"logits/chosen": -0.07861328125,
|
| 1440 |
+
"logits/rejected": -0.076171875,
|
| 1441 |
+
"logps/chosen": -183.0,
|
| 1442 |
+
"logps/rejected": -44.0,
|
| 1443 |
+
"loss": 0.3906,
|
| 1444 |
+
"nll_loss": 1.484375,
|
| 1445 |
+
"rewards/accuracies": 1.0,
|
| 1446 |
+
"rewards/chosen": 2.0,
|
| 1447 |
+
"rewards/margins": 7.90625,
|
| 1448 |
+
"rewards/rejected": -5.90625,
|
| 1449 |
+
"step": 90
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 0.5321637426900585,
|
| 1453 |
+
"grad_norm": 0.6138753294944763,
|
| 1454 |
+
"learning_rate": 4.903043341140879e-06,
|
| 1455 |
+
"logits/chosen": -0.03369140625,
|
| 1456 |
+
"logits/rejected": 0.054443359375,
|
| 1457 |
+
"logps/chosen": -115.0,
|
| 1458 |
+
"logps/rejected": -17.375,
|
| 1459 |
+
"loss": 0.3411,
|
| 1460 |
+
"nll_loss": 1.53125,
|
| 1461 |
+
"rewards/accuracies": 1.0,
|
| 1462 |
+
"rewards/chosen": 1.53125,
|
| 1463 |
+
"rewards/margins": 5.3125,
|
| 1464 |
+
"rewards/rejected": -3.78125,
|
| 1465 |
+
"step": 91
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.5380116959064327,
|
| 1469 |
+
"grad_norm": 0.5989710092544556,
|
| 1470 |
+
"learning_rate": 4.806123143715916e-06,
|
| 1471 |
+
"logits/chosen": 0.068359375,
|
| 1472 |
+
"logits/rejected": -0.091796875,
|
| 1473 |
+
"logps/chosen": -109.5,
|
| 1474 |
+
"logps/rejected": -29.0,
|
| 1475 |
+
"loss": 0.3449,
|
| 1476 |
+
"nll_loss": 1.3671875,
|
| 1477 |
+
"rewards/accuracies": 1.0,
|
| 1478 |
+
"rewards/chosen": 1.28125,
|
| 1479 |
+
"rewards/margins": 6.21875,
|
| 1480 |
+
"rewards/rejected": -4.9375,
|
| 1481 |
+
"step": 92
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 0.543859649122807,
|
| 1485 |
+
"grad_norm": 0.7193765640258789,
|
| 1486 |
+
"learning_rate": 4.7092758554476215e-06,
|
| 1487 |
+
"logits/chosen": 0.40625,
|
| 1488 |
+
"logits/rejected": 0.25,
|
| 1489 |
+
"logps/chosen": -60.75,
|
| 1490 |
+
"logps/rejected": -18.875,
|
| 1491 |
+
"loss": 0.3236,
|
| 1492 |
+
"nll_loss": 1.4453125,
|
| 1493 |
+
"rewards/accuracies": 1.0,
|
| 1494 |
+
"rewards/chosen": 1.53125,
|
| 1495 |
+
"rewards/margins": 5.59375,
|
| 1496 |
+
"rewards/rejected": -4.0625,
|
| 1497 |
+
"step": 93
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 0.5497076023391813,
|
| 1501 |
+
"grad_norm": 0.86937016248703,
|
| 1502 |
+
"learning_rate": 4.6125378966403465e-06,
|
| 1503 |
+
"logits/chosen": 0.12890625,
|
| 1504 |
+
"logits/rejected": 0.142578125,
|
| 1505 |
+
"logps/chosen": -70.5,
|
| 1506 |
+
"logps/rejected": -19.75,
|
| 1507 |
+
"loss": 0.373,
|
| 1508 |
+
"nll_loss": 1.2421875,
|
| 1509 |
+
"rewards/accuracies": 1.0,
|
| 1510 |
+
"rewards/chosen": 1.5,
|
| 1511 |
+
"rewards/margins": 5.875,
|
| 1512 |
+
"rewards/rejected": -4.375,
|
| 1513 |
+
"step": 94
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"epoch": 0.5555555555555556,
|
| 1517 |
+
"grad_norm": 0.5262789130210876,
|
| 1518 |
+
"learning_rate": 4.515945646484105e-06,
|
| 1519 |
+
"logits/chosen": -0.040771484375,
|
| 1520 |
+
"logits/rejected": -0.048095703125,
|
| 1521 |
+
"logps/chosen": -67.0,
|
| 1522 |
+
"logps/rejected": -27.0,
|
| 1523 |
+
"loss": 0.3229,
|
| 1524 |
+
"nll_loss": 1.2109375,
|
| 1525 |
+
"rewards/accuracies": 1.0,
|
| 1526 |
+
"rewards/chosen": -0.046875,
|
| 1527 |
+
"rewards/margins": 4.84375,
|
| 1528 |
+
"rewards/rejected": -4.875,
|
| 1529 |
+
"step": 95
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.5614035087719298,
|
| 1533 |
+
"grad_norm": 0.3275640904903412,
|
| 1534 |
+
"learning_rate": 4.4195354293738484e-06,
|
| 1535 |
+
"logits/chosen": -0.279296875,
|
| 1536 |
+
"logits/rejected": -0.072265625,
|
| 1537 |
+
"logps/chosen": -186.0,
|
| 1538 |
+
"logps/rejected": -62.25,
|
| 1539 |
+
"loss": 0.2866,
|
| 1540 |
+
"nll_loss": 1.4453125,
|
| 1541 |
+
"rewards/accuracies": 1.0,
|
| 1542 |
+
"rewards/chosen": 2.375,
|
| 1543 |
+
"rewards/margins": 9.3125,
|
| 1544 |
+
"rewards/rejected": -6.9375,
|
| 1545 |
+
"step": 96
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 0.5672514619883041,
|
| 1549 |
+
"grad_norm": 0.7497672438621521,
|
| 1550 |
+
"learning_rate": 4.323343501249346e-06,
|
| 1551 |
+
"logits/chosen": 0.20703125,
|
| 1552 |
+
"logits/rejected": 0.296875,
|
| 1553 |
+
"logps/chosen": -123.5,
|
| 1554 |
+
"logps/rejected": -23.5,
|
| 1555 |
+
"loss": 0.349,
|
| 1556 |
+
"nll_loss": 1.625,
|
| 1557 |
+
"rewards/accuracies": 1.0,
|
| 1558 |
+
"rewards/chosen": 4.25,
|
| 1559 |
+
"rewards/margins": 8.875,
|
| 1560 |
+
"rewards/rejected": -4.625,
|
| 1561 |
+
"step": 97
|
| 1562 |
+
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 0.5730994152046783,
|
| 1565 |
+
"grad_norm": 0.7181825637817383,
|
| 1566 |
+
"learning_rate": 4.227406035960798e-06,
|
| 1567 |
+
"logits/chosen": -0.18359375,
|
| 1568 |
+
"logits/rejected": -0.2177734375,
|
| 1569 |
+
"logps/chosen": -92.5,
|
| 1570 |
+
"logps/rejected": -29.25,
|
| 1571 |
+
"loss": 0.335,
|
| 1572 |
+
"nll_loss": 1.5625,
|
| 1573 |
+
"rewards/accuracies": 1.0,
|
| 1574 |
+
"rewards/chosen": 2.515625,
|
| 1575 |
+
"rewards/margins": 7.46875,
|
| 1576 |
+
"rewards/rejected": -4.96875,
|
| 1577 |
+
"step": 98
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.5789473684210527,
|
| 1581 |
+
"grad_norm": 0.4383862614631653,
|
| 1582 |
+
"learning_rate": 4.131759111665349e-06,
|
| 1583 |
+
"logits/chosen": 0.0218505859375,
|
| 1584 |
+
"logits/rejected": 0.373046875,
|
| 1585 |
+
"logps/chosen": -61.25,
|
| 1586 |
+
"logps/rejected": -10.0625,
|
| 1587 |
+
"loss": 0.3148,
|
| 1588 |
+
"nll_loss": 1.5859375,
|
| 1589 |
+
"rewards/accuracies": 1.0,
|
| 1590 |
+
"rewards/chosen": 2.484375,
|
| 1591 |
+
"rewards/margins": 5.0625,
|
| 1592 |
+
"rewards/rejected": -2.578125,
|
| 1593 |
+
"step": 99
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"epoch": 0.5847953216374269,
|
| 1597 |
+
"grad_norm": 0.29338470101356506,
|
| 1598 |
+
"learning_rate": 4.036438697259551e-06,
|
| 1599 |
+
"logits/chosen": 0.283203125,
|
| 1600 |
+
"logits/rejected": 0.32421875,
|
| 1601 |
+
"logps/chosen": -100.0,
|
| 1602 |
+
"logps/rejected": -23.375,
|
| 1603 |
+
"loss": 0.2728,
|
| 1604 |
+
"nll_loss": 1.3046875,
|
| 1605 |
+
"rewards/accuracies": 1.0,
|
| 1606 |
+
"rewards/chosen": 1.75,
|
| 1607 |
+
"rewards/margins": 6.53125,
|
| 1608 |
+
"rewards/rejected": -4.78125,
|
| 1609 |
+
"step": 100
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"epoch": 0.5906432748538012,
|
| 1613 |
+
"grad_norm": 1.3003735542297363,
|
| 1614 |
+
"learning_rate": 3.941480638852948e-06,
|
| 1615 |
+
"logits/chosen": -0.1484375,
|
| 1616 |
+
"logits/rejected": -0.0830078125,
|
| 1617 |
+
"logps/chosen": -106.0,
|
| 1618 |
+
"logps/rejected": -31.875,
|
| 1619 |
+
"loss": 0.3271,
|
| 1620 |
+
"nll_loss": 1.40625,
|
| 1621 |
+
"rewards/accuracies": 1.0,
|
| 1622 |
+
"rewards/chosen": 0.78125,
|
| 1623 |
+
"rewards/margins": 6.5625,
|
| 1624 |
+
"rewards/rejected": -5.78125,
|
| 1625 |
+
"step": 101
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 0.5964912280701754,
|
| 1629 |
+
"grad_norm": 0.961757481098175,
|
| 1630 |
+
"learning_rate": 3.8469206462878e-06,
|
| 1631 |
+
"logits/chosen": -0.0947265625,
|
| 1632 |
+
"logits/rejected": 0.11376953125,
|
| 1633 |
+
"logps/chosen": -119.5,
|
| 1634 |
+
"logps/rejected": -43.5,
|
| 1635 |
+
"loss": 0.347,
|
| 1636 |
+
"nll_loss": 1.484375,
|
| 1637 |
+
"rewards/accuracies": 1.0,
|
| 1638 |
+
"rewards/chosen": 2.640625,
|
| 1639 |
+
"rewards/margins": 8.625,
|
| 1640 |
+
"rewards/rejected": -6.0,
|
| 1641 |
+
"step": 102
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.6023391812865497,
|
| 1645 |
+
"grad_norm": 1.0032845735549927,
|
| 1646 |
+
"learning_rate": 3.752794279710094e-06,
|
| 1647 |
+
"logits/chosen": 0.205078125,
|
| 1648 |
+
"logits/rejected": 0.255859375,
|
| 1649 |
+
"logps/chosen": -59.0,
|
| 1650 |
+
"logps/rejected": -33.0,
|
| 1651 |
+
"loss": 0.3779,
|
| 1652 |
+
"nll_loss": 1.328125,
|
| 1653 |
+
"rewards/accuracies": 1.0,
|
| 1654 |
+
"rewards/chosen": 2.140625,
|
| 1655 |
+
"rewards/margins": 6.5625,
|
| 1656 |
+
"rewards/rejected": -4.4375,
|
| 1657 |
+
"step": 103
|
| 1658 |
+
},
|
| 1659 |
+
{
|
| 1660 |
+
"epoch": 0.6081871345029239,
|
| 1661 |
+
"grad_norm": 0.7629097104072571,
|
| 1662 |
+
"learning_rate": 3.6591369361968127e-06,
|
| 1663 |
+
"logits/chosen": 0.0030975341796875,
|
| 1664 |
+
"logits/rejected": 0.1552734375,
|
| 1665 |
+
"logps/chosen": -113.0,
|
| 1666 |
+
"logps/rejected": -31.875,
|
| 1667 |
+
"loss": 0.3118,
|
| 1668 |
+
"nll_loss": 1.5234375,
|
| 1669 |
+
"rewards/accuracies": 1.0,
|
| 1670 |
+
"rewards/chosen": 3.8125,
|
| 1671 |
+
"rewards/margins": 7.53125,
|
| 1672 |
+
"rewards/rejected": -3.703125,
|
| 1673 |
+
"step": 104
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 0.6140350877192983,
|
| 1677 |
+
"grad_norm": 0.7119747996330261,
|
| 1678 |
+
"learning_rate": 3.5659838364445505e-06,
|
| 1679 |
+
"logits/chosen": 0.050537109375,
|
| 1680 |
+
"logits/rejected": -0.09228515625,
|
| 1681 |
+
"logps/chosen": -74.5,
|
| 1682 |
+
"logps/rejected": -36.5,
|
| 1683 |
+
"loss": 0.2962,
|
| 1684 |
+
"nll_loss": 1.3203125,
|
| 1685 |
+
"rewards/accuracies": 1.0,
|
| 1686 |
+
"rewards/chosen": 2.875,
|
| 1687 |
+
"rewards/margins": 8.875,
|
| 1688 |
+
"rewards/rejected": -5.96875,
|
| 1689 |
+
"step": 105
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.6198830409356725,
|
| 1693 |
+
"grad_norm": 0.7210653424263,
|
| 1694 |
+
"learning_rate": 3.473370011524435e-06,
|
| 1695 |
+
"logits/chosen": 0.5234375,
|
| 1696 |
+
"logits/rejected": 0.3515625,
|
| 1697 |
+
"logps/chosen": -35.75,
|
| 1698 |
+
"logps/rejected": -14.625,
|
| 1699 |
+
"loss": 0.3092,
|
| 1700 |
+
"nll_loss": 1.140625,
|
| 1701 |
+
"rewards/accuracies": 1.0,
|
| 1702 |
+
"rewards/chosen": 0.74609375,
|
| 1703 |
+
"rewards/margins": 3.65625,
|
| 1704 |
+
"rewards/rejected": -2.90625,
|
| 1705 |
+
"step": 106
|
| 1706 |
+
},
|
| 1707 |
+
{
|
| 1708 |
+
"epoch": 0.6257309941520468,
|
| 1709 |
+
"grad_norm": 0.6818527579307556,
|
| 1710 |
+
"learning_rate": 3.3813302897083955e-06,
|
| 1711 |
+
"logits/chosen": 0.1337890625,
|
| 1712 |
+
"logits/rejected": 0.19921875,
|
| 1713 |
+
"logps/chosen": -122.5,
|
| 1714 |
+
"logps/rejected": -45.5,
|
| 1715 |
+
"loss": 0.3034,
|
| 1716 |
+
"nll_loss": 1.328125,
|
| 1717 |
+
"rewards/accuracies": 1.0,
|
| 1718 |
+
"rewards/chosen": 2.5,
|
| 1719 |
+
"rewards/margins": 7.84375,
|
| 1720 |
+
"rewards/rejected": -5.34375,
|
| 1721 |
+
"step": 107
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 0.631578947368421,
|
| 1725 |
+
"grad_norm": 0.4697604179382324,
|
| 1726 |
+
"learning_rate": 3.289899283371657e-06,
|
| 1727 |
+
"logits/chosen": -0.2451171875,
|
| 1728 |
+
"logits/rejected": 0.1630859375,
|
| 1729 |
+
"logps/chosen": -112.5,
|
| 1730 |
+
"logps/rejected": -34.25,
|
| 1731 |
+
"loss": 0.3125,
|
| 1732 |
+
"nll_loss": 1.359375,
|
| 1733 |
+
"rewards/accuracies": 1.0,
|
| 1734 |
+
"rewards/chosen": 0.5,
|
| 1735 |
+
"rewards/margins": 6.53125,
|
| 1736 |
+
"rewards/rejected": -6.03125,
|
| 1737 |
+
"step": 108
|
| 1738 |
+
},
|
| 1739 |
+
{
|
| 1740 |
+
"epoch": 0.6374269005847953,
|
| 1741 |
+
"grad_norm": 0.971885085105896,
|
| 1742 |
+
"learning_rate": 3.1991113759764493e-06,
|
| 1743 |
+
"logits/chosen": 0.0439453125,
|
| 1744 |
+
"logits/rejected": 0.5546875,
|
| 1745 |
+
"logps/chosen": -85.0,
|
| 1746 |
+
"logps/rejected": -11.875,
|
| 1747 |
+
"loss": 0.3936,
|
| 1748 |
+
"nll_loss": 1.4375,
|
| 1749 |
+
"rewards/accuracies": 1.0,
|
| 1750 |
+
"rewards/chosen": 1.96875,
|
| 1751 |
+
"rewards/margins": 5.5,
|
| 1752 |
+
"rewards/rejected": -3.515625,
|
| 1753 |
+
"step": 109
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 0.6432748538011696,
|
| 1757 |
+
"grad_norm": 0.36553868651390076,
|
| 1758 |
+
"learning_rate": 3.1090007091417884e-06,
|
| 1759 |
+
"logits/chosen": 0.07080078125,
|
| 1760 |
+
"logits/rejected": 0.04736328125,
|
| 1761 |
+
"logps/chosen": -94.0,
|
| 1762 |
+
"logps/rejected": -55.25,
|
| 1763 |
+
"loss": 0.2773,
|
| 1764 |
+
"nll_loss": 1.328125,
|
| 1765 |
+
"rewards/accuracies": 1.0,
|
| 1766 |
+
"rewards/chosen": 1.96875,
|
| 1767 |
+
"rewards/margins": 8.5625,
|
| 1768 |
+
"rewards/rejected": -6.59375,
|
| 1769 |
+
"step": 110
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 0.6491228070175439,
|
| 1773 |
+
"grad_norm": 0.8389025926589966,
|
| 1774 |
+
"learning_rate": 3.019601169804216e-06,
|
| 1775 |
+
"logits/chosen": 0.1552734375,
|
| 1776 |
+
"logits/rejected": 0.373046875,
|
| 1777 |
+
"logps/chosen": -118.5,
|
| 1778 |
+
"logps/rejected": -34.75,
|
| 1779 |
+
"loss": 0.3086,
|
| 1780 |
+
"nll_loss": 1.2578125,
|
| 1781 |
+
"rewards/accuracies": 1.0,
|
| 1782 |
+
"rewards/chosen": 2.40625,
|
| 1783 |
+
"rewards/margins": 7.40625,
|
| 1784 |
+
"rewards/rejected": -5.0,
|
| 1785 |
+
"step": 111
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 0.6549707602339181,
|
| 1789 |
+
"grad_norm": 0.8012142777442932,
|
| 1790 |
+
"learning_rate": 2.9309463774743047e-06,
|
| 1791 |
+
"logits/chosen": 0.06298828125,
|
| 1792 |
+
"logits/rejected": 0.1875,
|
| 1793 |
+
"logps/chosen": -92.5,
|
| 1794 |
+
"logps/rejected": -52.25,
|
| 1795 |
+
"loss": 0.3294,
|
| 1796 |
+
"nll_loss": 1.40625,
|
| 1797 |
+
"rewards/accuracies": 1.0,
|
| 1798 |
+
"rewards/chosen": -0.390625,
|
| 1799 |
+
"rewards/margins": 6.25,
|
| 1800 |
+
"rewards/rejected": -6.625,
|
| 1801 |
+
"step": 112
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.6608187134502924,
|
| 1805 |
+
"grad_norm": 0.6787911057472229,
|
| 1806 |
+
"learning_rate": 2.843069671593734e-06,
|
| 1807 |
+
"logits/chosen": 0.2333984375,
|
| 1808 |
+
"logits/rejected": 0.201171875,
|
| 1809 |
+
"logps/chosen": -92.0,
|
| 1810 |
+
"logps/rejected": -17.5,
|
| 1811 |
+
"loss": 0.3617,
|
| 1812 |
+
"nll_loss": 1.4140625,
|
| 1813 |
+
"rewards/accuracies": 1.0,
|
| 1814 |
+
"rewards/chosen": 3.078125,
|
| 1815 |
+
"rewards/margins": 7.125,
|
| 1816 |
+
"rewards/rejected": -4.03125,
|
| 1817 |
+
"step": 113
|
| 1818 |
+
},
|
| 1819 |
+
{
|
| 1820 |
+
"epoch": 0.6666666666666666,
|
| 1821 |
+
"grad_norm": 0.7218255996704102,
|
| 1822 |
+
"learning_rate": 2.7560040989976894e-06,
|
| 1823 |
+
"logits/chosen": -0.031982421875,
|
| 1824 |
+
"logits/rejected": -0.03662109375,
|
| 1825 |
+
"logps/chosen": -70.0,
|
| 1826 |
+
"logps/rejected": -36.75,
|
| 1827 |
+
"loss": 0.3638,
|
| 1828 |
+
"nll_loss": 1.125,
|
| 1829 |
+
"rewards/accuracies": 1.0,
|
| 1830 |
+
"rewards/chosen": 1.71875,
|
| 1831 |
+
"rewards/margins": 5.59375,
|
| 1832 |
+
"rewards/rejected": -3.859375,
|
| 1833 |
+
"step": 114
|
| 1834 |
+
},
|
| 1835 |
+
{
|
| 1836 |
+
"epoch": 0.672514619883041,
|
| 1837 |
+
"grad_norm": 0.6574802994728088,
|
| 1838 |
+
"learning_rate": 2.6697824014873076e-06,
|
| 1839 |
+
"logits/chosen": 0.1806640625,
|
| 1840 |
+
"logits/rejected": 0.02001953125,
|
| 1841 |
+
"logps/chosen": -101.0,
|
| 1842 |
+
"logps/rejected": -31.75,
|
| 1843 |
+
"loss": 0.318,
|
| 1844 |
+
"nll_loss": 1.3359375,
|
| 1845 |
+
"rewards/accuracies": 1.0,
|
| 1846 |
+
"rewards/chosen": 0.65625,
|
| 1847 |
+
"rewards/margins": 6.625,
|
| 1848 |
+
"rewards/rejected": -5.9375,
|
| 1849 |
+
"step": 115
|
| 1850 |
+
},
|
| 1851 |
+
{
|
| 1852 |
+
"epoch": 0.6783625730994152,
|
| 1853 |
+
"grad_norm": 0.8116902709007263,
|
| 1854 |
+
"learning_rate": 2.5844370035168077e-06,
|
| 1855 |
+
"logits/chosen": 0.1162109375,
|
| 1856 |
+
"logits/rejected": 0.2470703125,
|
| 1857 |
+
"logps/chosen": -88.5,
|
| 1858 |
+
"logps/rejected": -63.0,
|
| 1859 |
+
"loss": 0.306,
|
| 1860 |
+
"nll_loss": 1.2109375,
|
| 1861 |
+
"rewards/accuracies": 1.0,
|
| 1862 |
+
"rewards/chosen": -1.71875,
|
| 1863 |
+
"rewards/margins": 5.59375,
|
| 1864 |
+
"rewards/rejected": -7.3125,
|
| 1865 |
+
"step": 116
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 0.6842105263157895,
|
| 1869 |
+
"grad_norm": 0.6500887870788574,
|
| 1870 |
+
"learning_rate": 2.5000000000000015e-06,
|
| 1871 |
+
"logits/chosen": -0.046875,
|
| 1872 |
+
"logits/rejected": 0.1630859375,
|
| 1873 |
+
"logps/chosen": -96.0,
|
| 1874 |
+
"logps/rejected": -35.25,
|
| 1875 |
+
"loss": 0.29,
|
| 1876 |
+
"nll_loss": 1.234375,
|
| 1877 |
+
"rewards/accuracies": 0.75,
|
| 1878 |
+
"rewards/chosen": -0.875,
|
| 1879 |
+
"rewards/margins": 3.90625,
|
| 1880 |
+
"rewards/rejected": -4.78125,
|
| 1881 |
+
"step": 117
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 0.6900584795321637,
|
| 1885 |
+
"grad_norm": 1.0178558826446533,
|
| 1886 |
+
"learning_rate": 2.4165031442406857e-06,
|
| 1887 |
+
"logits/chosen": 0.041748046875,
|
| 1888 |
+
"logits/rejected": 0.2421875,
|
| 1889 |
+
"logps/chosen": -53.0,
|
| 1890 |
+
"logps/rejected": -15.0625,
|
| 1891 |
+
"loss": 0.3434,
|
| 1892 |
+
"nll_loss": 1.484375,
|
| 1893 |
+
"rewards/accuracies": 1.0,
|
| 1894 |
+
"rewards/chosen": 2.640625,
|
| 1895 |
+
"rewards/margins": 6.21875,
|
| 1896 |
+
"rewards/rejected": -3.5625,
|
| 1897 |
+
"step": 118
|
| 1898 |
+
},
|
| 1899 |
+
{
|
| 1900 |
+
"epoch": 0.695906432748538,
|
| 1901 |
+
"grad_norm": 0.7249758243560791,
|
| 1902 |
+
"learning_rate": 2.333977835991545e-06,
|
| 1903 |
+
"logits/chosen": 0.28125,
|
| 1904 |
+
"logits/rejected": 0.087890625,
|
| 1905 |
+
"logps/chosen": -81.5,
|
| 1906 |
+
"logps/rejected": -32.25,
|
| 1907 |
+
"loss": 0.2837,
|
| 1908 |
+
"nll_loss": 1.140625,
|
| 1909 |
+
"rewards/accuracies": 1.0,
|
| 1910 |
+
"rewards/chosen": 2.375,
|
| 1911 |
+
"rewards/margins": 5.875,
|
| 1912 |
+
"rewards/rejected": -3.46875,
|
| 1913 |
+
"step": 119
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 0.7017543859649122,
|
| 1917 |
+
"grad_norm": 0.6112239360809326,
|
| 1918 |
+
"learning_rate": 2.2524551096459703e-06,
|
| 1919 |
+
"logits/chosen": 0.18359375,
|
| 1920 |
+
"logits/rejected": 0.2236328125,
|
| 1921 |
+
"logps/chosen": -78.0,
|
| 1922 |
+
"logps/rejected": -30.0,
|
| 1923 |
+
"loss": 0.3184,
|
| 1924 |
+
"nll_loss": 1.40625,
|
| 1925 |
+
"rewards/accuracies": 1.0,
|
| 1926 |
+
"rewards/chosen": 1.34375,
|
| 1927 |
+
"rewards/margins": 5.71875,
|
| 1928 |
+
"rewards/rejected": -4.375,
|
| 1929 |
+
"step": 120
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 0.7076023391812866,
|
| 1933 |
+
"grad_norm": 0.9316398501396179,
|
| 1934 |
+
"learning_rate": 2.171965622567308e-06,
|
| 1935 |
+
"logits/chosen": 0.396484375,
|
| 1936 |
+
"logits/rejected": 0.1953125,
|
| 1937 |
+
"logps/chosen": -72.5,
|
| 1938 |
+
"logps/rejected": -41.0,
|
| 1939 |
+
"loss": 0.3656,
|
| 1940 |
+
"nll_loss": 1.1640625,
|
| 1941 |
+
"rewards/accuracies": 1.0,
|
| 1942 |
+
"rewards/chosen": -0.90234375,
|
| 1943 |
+
"rewards/margins": 3.625,
|
| 1944 |
+
"rewards/rejected": -4.53125,
|
| 1945 |
+
"step": 121
|
| 1946 |
+
},
|
| 1947 |
+
{
|
| 1948 |
+
"epoch": 0.7134502923976608,
|
| 1949 |
+
"grad_norm": 2.40132474899292,
|
| 1950 |
+
"learning_rate": 2.0925396435598665e-06,
|
| 1951 |
+
"logits/chosen": -0.01092529296875,
|
| 1952 |
+
"logits/rejected": 0.376953125,
|
| 1953 |
+
"logps/chosen": -50.75,
|
| 1954 |
+
"logps/rejected": -15.0,
|
| 1955 |
+
"loss": 0.3434,
|
| 1956 |
+
"nll_loss": 1.515625,
|
| 1957 |
+
"rewards/accuracies": 1.0,
|
| 1958 |
+
"rewards/chosen": 2.140625,
|
| 1959 |
+
"rewards/margins": 5.46875,
|
| 1960 |
+
"rewards/rejected": -3.3125,
|
| 1961 |
+
"step": 122
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"epoch": 0.7192982456140351,
|
| 1965 |
+
"grad_norm": 0.5527243614196777,
|
| 1966 |
+
"learning_rate": 2.0142070414860704e-06,
|
| 1967 |
+
"logits/chosen": 0.1416015625,
|
| 1968 |
+
"logits/rejected": 0.25,
|
| 1969 |
+
"logps/chosen": -117.5,
|
| 1970 |
+
"logps/rejected": -78.0,
|
| 1971 |
+
"loss": 0.3078,
|
| 1972 |
+
"nll_loss": 1.2421875,
|
| 1973 |
+
"rewards/accuracies": 1.0,
|
| 1974 |
+
"rewards/chosen": -0.3125,
|
| 1975 |
+
"rewards/margins": 8.375,
|
| 1976 |
+
"rewards/rejected": -8.75,
|
| 1977 |
+
"step": 123
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 0.7251461988304093,
|
| 1981 |
+
"grad_norm": 0.6802273392677307,
|
| 1982 |
+
"learning_rate": 1.936997274033986e-06,
|
| 1983 |
+
"logits/chosen": 0.271484375,
|
| 1984 |
+
"logits/rejected": 0.2431640625,
|
| 1985 |
+
"logps/chosen": -110.5,
|
| 1986 |
+
"logps/rejected": -35.75,
|
| 1987 |
+
"loss": 0.2995,
|
| 1988 |
+
"nll_loss": 1.3671875,
|
| 1989 |
+
"rewards/accuracies": 1.0,
|
| 1990 |
+
"rewards/chosen": 3.375,
|
| 1991 |
+
"rewards/margins": 9.0,
|
| 1992 |
+
"rewards/rejected": -5.625,
|
| 1993 |
+
"step": 124
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"epoch": 0.7309941520467836,
|
| 1997 |
+
"grad_norm": 0.270517498254776,
|
| 1998 |
+
"learning_rate": 1.8609393766395083e-06,
|
| 1999 |
+
"logits/chosen": 0.2431640625,
|
| 2000 |
+
"logits/rejected": 0.020751953125,
|
| 2001 |
+
"logps/chosen": -109.0,
|
| 2002 |
+
"logps/rejected": -29.25,
|
| 2003 |
+
"loss": 0.277,
|
| 2004 |
+
"nll_loss": 1.3828125,
|
| 2005 |
+
"rewards/accuracies": 1.0,
|
| 2006 |
+
"rewards/chosen": 2.59375,
|
| 2007 |
+
"rewards/margins": 8.25,
|
| 2008 |
+
"rewards/rejected": -5.6875,
|
| 2009 |
+
"step": 125
|
| 2010 |
+
},
|
| 2011 |
+
{
|
| 2012 |
+
"epoch": 0.7368421052631579,
|
| 2013 |
+
"grad_norm": 0.4582943320274353,
|
| 2014 |
+
"learning_rate": 1.7860619515673034e-06,
|
| 2015 |
+
"logits/chosen": 0.107421875,
|
| 2016 |
+
"logits/rejected": 0.197265625,
|
| 2017 |
+
"logps/chosen": -113.0,
|
| 2018 |
+
"logps/rejected": -49.25,
|
| 2019 |
+
"loss": 0.2612,
|
| 2020 |
+
"nll_loss": 1.4453125,
|
| 2021 |
+
"rewards/accuracies": 1.0,
|
| 2022 |
+
"rewards/chosen": 0.75,
|
| 2023 |
+
"rewards/margins": 6.84375,
|
| 2024 |
+
"rewards/rejected": -6.09375,
|
| 2025 |
+
"step": 126
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.7426900584795322,
|
| 2029 |
+
"grad_norm": 1.0266200304031372,
|
| 2030 |
+
"learning_rate": 1.7123931571546826e-06,
|
| 2031 |
+
"logits/chosen": 0.158203125,
|
| 2032 |
+
"logits/rejected": 0.006988525390625,
|
| 2033 |
+
"logps/chosen": -126.0,
|
| 2034 |
+
"logps/rejected": -32.25,
|
| 2035 |
+
"loss": 0.3486,
|
| 2036 |
+
"nll_loss": 1.375,
|
| 2037 |
+
"rewards/accuracies": 1.0,
|
| 2038 |
+
"rewards/chosen": 4.125,
|
| 2039 |
+
"rewards/margins": 9.9375,
|
| 2040 |
+
"rewards/rejected": -5.84375,
|
| 2041 |
+
"step": 127
|
| 2042 |
+
},
|
| 2043 |
+
{
|
| 2044 |
+
"epoch": 0.7485380116959064,
|
| 2045 |
+
"grad_norm": 0.3515218198299408,
|
| 2046 |
+
"learning_rate": 1.639960697222388e-06,
|
| 2047 |
+
"logits/chosen": -0.357421875,
|
| 2048 |
+
"logits/rejected": -0.02783203125,
|
| 2049 |
+
"logps/chosen": -98.0,
|
| 2050 |
+
"logps/rejected": -31.0,
|
| 2051 |
+
"loss": 0.2879,
|
| 2052 |
+
"nll_loss": 1.640625,
|
| 2053 |
+
"rewards/accuracies": 1.0,
|
| 2054 |
+
"rewards/chosen": 1.59375,
|
| 2055 |
+
"rewards/margins": 6.65625,
|
| 2056 |
+
"rewards/rejected": -5.0625,
|
| 2057 |
+
"step": 128
|
| 2058 |
+
},
|
| 2059 |
+
{
|
| 2060 |
+
"epoch": 0.7543859649122807,
|
| 2061 |
+
"grad_norm": 0.9205822944641113,
|
| 2062 |
+
"learning_rate": 1.5687918106563326e-06,
|
| 2063 |
+
"logits/chosen": -0.123046875,
|
| 2064 |
+
"logits/rejected": 0.251953125,
|
| 2065 |
+
"logps/chosen": -116.5,
|
| 2066 |
+
"logps/rejected": -12.0,
|
| 2067 |
+
"loss": 0.3135,
|
| 2068 |
+
"nll_loss": 1.6796875,
|
| 2069 |
+
"rewards/accuracies": 1.0,
|
| 2070 |
+
"rewards/chosen": 4.53125,
|
| 2071 |
+
"rewards/margins": 7.125,
|
| 2072 |
+
"rewards/rejected": -2.609375,
|
| 2073 |
+
"step": 129
|
| 2074 |
+
},
|
| 2075 |
+
{
|
| 2076 |
+
"epoch": 0.7602339181286549,
|
| 2077 |
+
"grad_norm": 0.47208088636398315,
|
| 2078 |
+
"learning_rate": 1.4989132611641576e-06,
|
| 2079 |
+
"logits/chosen": -0.10791015625,
|
| 2080 |
+
"logits/rejected": -0.1298828125,
|
| 2081 |
+
"logps/chosen": -90.0,
|
| 2082 |
+
"logps/rejected": -28.75,
|
| 2083 |
+
"loss": 0.349,
|
| 2084 |
+
"nll_loss": 1.375,
|
| 2085 |
+
"rewards/accuracies": 1.0,
|
| 2086 |
+
"rewards/chosen": 4.03125,
|
| 2087 |
+
"rewards/margins": 9.25,
|
| 2088 |
+
"rewards/rejected": -5.1875,
|
| 2089 |
+
"step": 130
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 0.7660818713450293,
|
| 2093 |
+
"grad_norm": 1.2003756761550903,
|
| 2094 |
+
"learning_rate": 1.4303513272105057e-06,
|
| 2095 |
+
"logits/chosen": -0.1357421875,
|
| 2096 |
+
"logits/rejected": -0.1318359375,
|
| 2097 |
+
"logps/chosen": -171.0,
|
| 2098 |
+
"logps/rejected": -63.75,
|
| 2099 |
+
"loss": 0.3398,
|
| 2100 |
+
"nll_loss": 1.5390625,
|
| 2101 |
+
"rewards/accuracies": 1.0,
|
| 2102 |
+
"rewards/chosen": 4.34375,
|
| 2103 |
+
"rewards/margins": 13.1875,
|
| 2104 |
+
"rewards/rejected": -8.875,
|
| 2105 |
+
"step": 131
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"epoch": 0.7719298245614035,
|
| 2109 |
+
"grad_norm": 0.6289705634117126,
|
| 2110 |
+
"learning_rate": 1.3631317921347564e-06,
|
| 2111 |
+
"logits/chosen": -0.181640625,
|
| 2112 |
+
"logits/rejected": 0.203125,
|
| 2113 |
+
"logps/chosen": -75.0,
|
| 2114 |
+
"logps/rejected": -23.75,
|
| 2115 |
+
"loss": 0.3607,
|
| 2116 |
+
"nll_loss": 1.1171875,
|
| 2117 |
+
"rewards/accuracies": 1.0,
|
| 2118 |
+
"rewards/chosen": -0.671875,
|
| 2119 |
+
"rewards/margins": 4.46875,
|
| 2120 |
+
"rewards/rejected": -5.125,
|
| 2121 |
+
"step": 132
|
| 2122 |
+
},
|
| 2123 |
+
{
|
| 2124 |
+
"epoch": 0.7777777777777778,
|
| 2125 |
+
"grad_norm": 0.5018782615661621,
|
| 2126 |
+
"learning_rate": 1.297279934454978e-06,
|
| 2127 |
+
"logits/chosen": -0.0537109375,
|
| 2128 |
+
"logits/rejected": -0.0615234375,
|
| 2129 |
+
"logps/chosen": -100.5,
|
| 2130 |
+
"logps/rejected": -31.125,
|
| 2131 |
+
"loss": 0.3402,
|
| 2132 |
+
"nll_loss": 1.1875,
|
| 2133 |
+
"rewards/accuracies": 1.0,
|
| 2134 |
+
"rewards/chosen": 0.71875,
|
| 2135 |
+
"rewards/margins": 5.34375,
|
| 2136 |
+
"rewards/rejected": -4.625,
|
| 2137 |
+
"step": 133
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 0.783625730994152,
|
| 2141 |
+
"grad_norm": 0.7222105860710144,
|
| 2142 |
+
"learning_rate": 1.2328205183616964e-06,
|
| 2143 |
+
"logits/chosen": 0.1474609375,
|
| 2144 |
+
"logits/rejected": 0.0311279296875,
|
| 2145 |
+
"logps/chosen": -96.5,
|
| 2146 |
+
"logps/rejected": -29.5,
|
| 2147 |
+
"loss": 0.3115,
|
| 2148 |
+
"nll_loss": 1.359375,
|
| 2149 |
+
"rewards/accuracies": 1.0,
|
| 2150 |
+
"rewards/chosen": 1.4765625,
|
| 2151 |
+
"rewards/margins": 6.53125,
|
| 2152 |
+
"rewards/rejected": -5.0625,
|
| 2153 |
+
"step": 134
|
| 2154 |
+
},
|
| 2155 |
+
{
|
| 2156 |
+
"epoch": 0.7894736842105263,
|
| 2157 |
+
"grad_norm": 0.9635083079338074,
|
| 2158 |
+
"learning_rate": 1.1697777844051105e-06,
|
| 2159 |
+
"logits/chosen": 0.51953125,
|
| 2160 |
+
"logits/rejected": 0.427734375,
|
| 2161 |
+
"logps/chosen": -75.0,
|
| 2162 |
+
"logps/rejected": -20.0,
|
| 2163 |
+
"loss": 0.3672,
|
| 2164 |
+
"nll_loss": 1.3203125,
|
| 2165 |
+
"rewards/accuracies": 1.0,
|
| 2166 |
+
"rewards/chosen": 1.046875,
|
| 2167 |
+
"rewards/margins": 4.71875,
|
| 2168 |
+
"rewards/rejected": -3.65625,
|
| 2169 |
+
"step": 135
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 0.7953216374269005,
|
| 2173 |
+
"grad_norm": 1.1779509782791138,
|
| 2174 |
+
"learning_rate": 1.1081754403792e-06,
|
| 2175 |
+
"logits/chosen": 0.0859375,
|
| 2176 |
+
"logits/rejected": 0.59765625,
|
| 2177 |
+
"logps/chosen": -61.0,
|
| 2178 |
+
"logps/rejected": -10.5,
|
| 2179 |
+
"loss": 0.3646,
|
| 2180 |
+
"nll_loss": 1.578125,
|
| 2181 |
+
"rewards/accuracies": 1.0,
|
| 2182 |
+
"rewards/chosen": 1.046875,
|
| 2183 |
+
"rewards/margins": 3.34375,
|
| 2184 |
+
"rewards/rejected": -2.296875,
|
| 2185 |
+
"step": 136
|
| 2186 |
+
},
|
| 2187 |
+
{
|
| 2188 |
+
"epoch": 0.8011695906432749,
|
| 2189 |
+
"grad_norm": 0.40560975670814514,
|
| 2190 |
+
"learning_rate": 1.0480366524062041e-06,
|
| 2191 |
+
"logits/chosen": -0.037353515625,
|
| 2192 |
+
"logits/rejected": 0.02392578125,
|
| 2193 |
+
"logps/chosen": -88.5,
|
| 2194 |
+
"logps/rejected": -35.5,
|
| 2195 |
+
"loss": 0.3294,
|
| 2196 |
+
"nll_loss": 1.3359375,
|
| 2197 |
+
"rewards/accuracies": 1.0,
|
| 2198 |
+
"rewards/chosen": 0.9375,
|
| 2199 |
+
"rewards/margins": 6.28125,
|
| 2200 |
+
"rewards/rejected": -5.375,
|
| 2201 |
+
"step": 137
|
| 2202 |
+
},
|
| 2203 |
+
{
|
| 2204 |
+
"epoch": 0.8070175438596491,
|
| 2205 |
+
"grad_norm": 1.7967106103897095,
|
| 2206 |
+
"learning_rate": 9.893840362247809e-07,
|
| 2207 |
+
"logits/chosen": 0.1484375,
|
| 2208 |
+
"logits/rejected": 0.21484375,
|
| 2209 |
+
"logps/chosen": -82.0,
|
| 2210 |
+
"logps/rejected": -40.75,
|
| 2211 |
+
"loss": 0.3294,
|
| 2212 |
+
"nll_loss": 1.421875,
|
| 2213 |
+
"rewards/accuracies": 1.0,
|
| 2214 |
+
"rewards/chosen": 3.6875,
|
| 2215 |
+
"rewards/margins": 7.71875,
|
| 2216 |
+
"rewards/rejected": -4.03125,
|
| 2217 |
+
"step": 138
|
| 2218 |
+
},
|
| 2219 |
+
{
|
| 2220 |
+
"epoch": 0.8128654970760234,
|
| 2221 |
+
"grad_norm": 0.5179945230484009,
|
| 2222 |
+
"learning_rate": 9.322396486851626e-07,
|
| 2223 |
+
"logits/chosen": -0.20703125,
|
| 2224 |
+
"logits/rejected": 0.333984375,
|
| 2225 |
+
"logps/chosen": -122.0,
|
| 2226 |
+
"logps/rejected": -31.0,
|
| 2227 |
+
"loss": 0.3402,
|
| 2228 |
+
"nll_loss": 1.3359375,
|
| 2229 |
+
"rewards/accuracies": 1.0,
|
| 2230 |
+
"rewards/chosen": 1.8125,
|
| 2231 |
+
"rewards/margins": 6.625,
|
| 2232 |
+
"rewards/rejected": -4.8125,
|
| 2233 |
+
"step": 139
|
| 2234 |
+
},
|
| 2235 |
+
{
|
| 2236 |
+
"epoch": 0.8187134502923976,
|
| 2237 |
+
"grad_norm": 0.6503077149391174,
|
| 2238 |
+
"learning_rate": 8.766249794544662e-07,
|
| 2239 |
+
"logits/chosen": -0.140625,
|
| 2240 |
+
"logits/rejected": 0.4609375,
|
| 2241 |
+
"logps/chosen": -80.5,
|
| 2242 |
+
"logps/rejected": -10.625,
|
| 2243 |
+
"loss": 0.3496,
|
| 2244 |
+
"nll_loss": 1.453125,
|
| 2245 |
+
"rewards/accuracies": 1.0,
|
| 2246 |
+
"rewards/chosen": 1.734375,
|
| 2247 |
+
"rewards/margins": 4.6875,
|
| 2248 |
+
"rewards/rejected": -2.96875,
|
| 2249 |
+
"step": 140
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 0.8245614035087719,
|
| 2253 |
+
"grad_norm": 0.37708234786987305,
|
| 2254 |
+
"learning_rate": 8.225609429353187e-07,
|
| 2255 |
+
"logits/chosen": 0.09326171875,
|
| 2256 |
+
"logits/rejected": 0.08203125,
|
| 2257 |
+
"logps/chosen": -103.0,
|
| 2258 |
+
"logps/rejected": -14.75,
|
| 2259 |
+
"loss": 0.3428,
|
| 2260 |
+
"nll_loss": 1.515625,
|
| 2261 |
+
"rewards/accuracies": 1.0,
|
| 2262 |
+
"rewards/chosen": 2.1875,
|
| 2263 |
+
"rewards/margins": 6.15625,
|
| 2264 |
+
"rewards/rejected": -3.96875,
|
| 2265 |
+
"step": 141
|
| 2266 |
+
},
|
| 2267 |
+
{
|
| 2268 |
+
"epoch": 0.8304093567251462,
|
| 2269 |
+
"grad_norm": 0.580976128578186,
|
| 2270 |
+
"learning_rate": 7.700678704007947e-07,
|
| 2271 |
+
"logits/chosen": -0.005645751953125,
|
| 2272 |
+
"logits/rejected": 0.3125,
|
| 2273 |
+
"logps/chosen": -83.0,
|
| 2274 |
+
"logps/rejected": -21.75,
|
| 2275 |
+
"loss": 0.3499,
|
| 2276 |
+
"nll_loss": 1.4453125,
|
| 2277 |
+
"rewards/accuracies": 1.0,
|
| 2278 |
+
"rewards/chosen": 3.578125,
|
| 2279 |
+
"rewards/margins": 7.90625,
|
| 2280 |
+
"rewards/rejected": -4.3125,
|
| 2281 |
+
"step": 142
|
| 2282 |
+
},
|
| 2283 |
+
{
|
| 2284 |
+
"epoch": 0.8362573099415205,
|
| 2285 |
+
"grad_norm": 0.6109355092048645,
|
| 2286 |
+
"learning_rate": 7.191655023486682e-07,
|
| 2287 |
+
"logits/chosen": -0.19921875,
|
| 2288 |
+
"logits/rejected": -0.064453125,
|
| 2289 |
+
"logps/chosen": -84.0,
|
| 2290 |
+
"logps/rejected": -24.625,
|
| 2291 |
+
"loss": 0.3216,
|
| 2292 |
+
"nll_loss": 1.515625,
|
| 2293 |
+
"rewards/accuracies": 1.0,
|
| 2294 |
+
"rewards/chosen": 3.375,
|
| 2295 |
+
"rewards/margins": 8.3125,
|
| 2296 |
+
"rewards/rejected": -4.9375,
|
| 2297 |
+
"step": 143
|
| 2298 |
+
},
|
| 2299 |
+
{
|
| 2300 |
+
"epoch": 0.8421052631578947,
|
| 2301 |
+
"grad_norm": 1.3205121755599976,
|
| 2302 |
+
"learning_rate": 6.698729810778065e-07,
|
| 2303 |
+
"logits/chosen": 0.349609375,
|
| 2304 |
+
"logits/rejected": 0.107421875,
|
| 2305 |
+
"logps/chosen": -60.0,
|
| 2306 |
+
"logps/rejected": -31.0,
|
| 2307 |
+
"loss": 0.3433,
|
| 2308 |
+
"nll_loss": 1.1640625,
|
| 2309 |
+
"rewards/accuracies": 1.0,
|
| 2310 |
+
"rewards/chosen": 0.43359375,
|
| 2311 |
+
"rewards/margins": 5.09375,
|
| 2312 |
+
"rewards/rejected": -4.65625,
|
| 2313 |
+
"step": 144
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"epoch": 0.847953216374269,
|
| 2317 |
+
"grad_norm": 0.23541516065597534,
|
| 2318 |
+
"learning_rate": 6.222088434895462e-07,
|
| 2319 |
+
"logits/chosen": 0.251953125,
|
| 2320 |
+
"logits/rejected": 0.2333984375,
|
| 2321 |
+
"logps/chosen": -82.0,
|
| 2322 |
+
"logps/rejected": -41.0,
|
| 2323 |
+
"loss": 0.2943,
|
| 2324 |
+
"nll_loss": 1.1328125,
|
| 2325 |
+
"rewards/accuracies": 1.0,
|
| 2326 |
+
"rewards/chosen": 0.78125,
|
| 2327 |
+
"rewards/margins": 6.84375,
|
| 2328 |
+
"rewards/rejected": -6.0625,
|
| 2329 |
+
"step": 145
|
| 2330 |
+
},
|
| 2331 |
+
{
|
| 2332 |
+
"epoch": 0.8538011695906432,
|
| 2333 |
+
"grad_norm": 1.0106936693191528,
|
| 2334 |
+
"learning_rate": 5.76191014116711e-07,
|
| 2335 |
+
"logits/chosen": -0.119140625,
|
| 2336 |
+
"logits/rejected": 0.314453125,
|
| 2337 |
+
"logps/chosen": -62.5,
|
| 2338 |
+
"logps/rejected": -20.875,
|
| 2339 |
+
"loss": 0.3275,
|
| 2340 |
+
"nll_loss": 1.2109375,
|
| 2341 |
+
"rewards/accuracies": 1.0,
|
| 2342 |
+
"rewards/chosen": 0.8125,
|
| 2343 |
+
"rewards/margins": 4.53125,
|
| 2344 |
+
"rewards/rejected": -3.71875,
|
| 2345 |
+
"step": 146
|
| 2346 |
+
},
|
| 2347 |
+
{
|
| 2348 |
+
"epoch": 0.8596491228070176,
|
| 2349 |
+
"grad_norm": 0.31476834416389465,
|
| 2350 |
+
"learning_rate": 5.318367983829393e-07,
|
| 2351 |
+
"logits/chosen": 0.0291748046875,
|
| 2352 |
+
"logits/rejected": -0.0272216796875,
|
| 2353 |
+
"logps/chosen": -132.0,
|
| 2354 |
+
"logps/rejected": -49.25,
|
| 2355 |
+
"loss": 0.3047,
|
| 2356 |
+
"nll_loss": 1.3828125,
|
| 2357 |
+
"rewards/accuracies": 1.0,
|
| 2358 |
+
"rewards/chosen": 1.71875,
|
| 2359 |
+
"rewards/margins": 9.0,
|
| 2360 |
+
"rewards/rejected": -7.28125,
|
| 2361 |
+
"step": 147
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 0.8654970760233918,
|
| 2365 |
+
"grad_norm": 0.5657747387886047,
|
| 2366 |
+
"learning_rate": 4.891628760948114e-07,
|
| 2367 |
+
"logits/chosen": 0.06640625,
|
| 2368 |
+
"logits/rejected": -0.05712890625,
|
| 2369 |
+
"logps/chosen": -68.0,
|
| 2370 |
+
"logps/rejected": -12.875,
|
| 2371 |
+
"loss": 0.3312,
|
| 2372 |
+
"nll_loss": 1.53125,
|
| 2373 |
+
"rewards/accuracies": 1.0,
|
| 2374 |
+
"rewards/chosen": 3.375,
|
| 2375 |
+
"rewards/margins": 6.53125,
|
| 2376 |
+
"rewards/rejected": -3.15625,
|
| 2377 |
+
"step": 148
|
| 2378 |
+
},
|
| 2379 |
+
{
|
| 2380 |
+
"epoch": 0.8713450292397661,
|
| 2381 |
+
"grad_norm": 0.4523642063140869,
|
| 2382 |
+
"learning_rate": 4.481852951692672e-07,
|
| 2383 |
+
"logits/chosen": -0.1015625,
|
| 2384 |
+
"logits/rejected": 0.125,
|
| 2385 |
+
"logps/chosen": -91.0,
|
| 2386 |
+
"logps/rejected": -35.75,
|
| 2387 |
+
"loss": 0.3071,
|
| 2388 |
+
"nll_loss": 1.328125,
|
| 2389 |
+
"rewards/accuracies": 1.0,
|
| 2390 |
+
"rewards/chosen": 1.625,
|
| 2391 |
+
"rewards/margins": 6.6875,
|
| 2392 |
+
"rewards/rejected": -5.0625,
|
| 2393 |
+
"step": 149
|
| 2394 |
+
},
|
| 2395 |
+
{
|
| 2396 |
+
"epoch": 0.8771929824561403,
|
| 2397 |
+
"grad_norm": 0.5197721123695374,
|
| 2398 |
+
"learning_rate": 4.089194655986306e-07,
|
| 2399 |
+
"logits/chosen": 0.40234375,
|
| 2400 |
+
"logits/rejected": 0.2197265625,
|
| 2401 |
+
"logps/chosen": -41.25,
|
| 2402 |
+
"logps/rejected": -17.5,
|
| 2403 |
+
"loss": 0.3177,
|
| 2404 |
+
"nll_loss": 1.0703125,
|
| 2405 |
+
"rewards/accuracies": 1.0,
|
| 2406 |
+
"rewards/chosen": 0.296875,
|
| 2407 |
+
"rewards/margins": 4.71875,
|
| 2408 |
+
"rewards/rejected": -4.40625,
|
| 2409 |
+
"step": 150
|
| 2410 |
+
},
|
| 2411 |
+
{
|
| 2412 |
+
"epoch": 0.8830409356725146,
|
| 2413 |
+
"grad_norm": 0.5756105184555054,
|
| 2414 |
+
"learning_rate": 3.7138015365554834e-07,
|
| 2415 |
+
"logits/chosen": -0.1953125,
|
| 2416 |
+
"logits/rejected": -0.05615234375,
|
| 2417 |
+
"logps/chosen": -93.0,
|
| 2418 |
+
"logps/rejected": -32.0,
|
| 2419 |
+
"loss": 0.3623,
|
| 2420 |
+
"nll_loss": 1.609375,
|
| 2421 |
+
"rewards/accuracies": 1.0,
|
| 2422 |
+
"rewards/chosen": 2.5,
|
| 2423 |
+
"rewards/margins": 7.25,
|
| 2424 |
+
"rewards/rejected": -4.75,
|
| 2425 |
+
"step": 151
|
| 2426 |
+
},
|
| 2427 |
+
{
|
| 2428 |
+
"epoch": 0.8888888888888888,
|
| 2429 |
+
"grad_norm": 0.8583580255508423,
|
| 2430 |
+
"learning_rate": 3.355814763399973e-07,
|
| 2431 |
+
"logits/chosen": 0.388671875,
|
| 2432 |
+
"logits/rejected": 0.67578125,
|
| 2433 |
+
"logps/chosen": -24.875,
|
| 2434 |
+
"logps/rejected": -10.125,
|
| 2435 |
+
"loss": 0.3177,
|
| 2436 |
+
"nll_loss": 0.97265625,
|
| 2437 |
+
"rewards/accuracies": 1.0,
|
| 2438 |
+
"rewards/chosen": 0.30078125,
|
| 2439 |
+
"rewards/margins": 3.28125,
|
| 2440 |
+
"rewards/rejected": -2.96875,
|
| 2441 |
+
"step": 152
|
| 2442 |
+
},
|
| 2443 |
+
{
|
| 2444 |
+
"epoch": 0.8947368421052632,
|
| 2445 |
+
"grad_norm": 0.9073471426963806,
|
| 2446 |
+
"learning_rate": 3.015368960704584e-07,
|
| 2447 |
+
"logits/chosen": 0.2041015625,
|
| 2448 |
+
"logits/rejected": 0.14453125,
|
| 2449 |
+
"logps/chosen": -88.0,
|
| 2450 |
+
"logps/rejected": -33.25,
|
| 2451 |
+
"loss": 0.2979,
|
| 2452 |
+
"nll_loss": 1.421875,
|
| 2453 |
+
"rewards/accuracies": 1.0,
|
| 2454 |
+
"rewards/chosen": 4.5,
|
| 2455 |
+
"rewards/margins": 8.875,
|
| 2456 |
+
"rewards/rejected": -4.375,
|
| 2457 |
+
"step": 153
|
| 2458 |
+
},
|
| 2459 |
+
{
|
| 2460 |
+
"epoch": 0.9005847953216374,
|
| 2461 |
+
"grad_norm": 0.7385669350624084,
|
| 2462 |
+
"learning_rate": 2.6925921562124867e-07,
|
| 2463 |
+
"logits/chosen": -0.2021484375,
|
| 2464 |
+
"logits/rejected": -0.017333984375,
|
| 2465 |
+
"logps/chosen": -136.0,
|
| 2466 |
+
"logps/rejected": -47.25,
|
| 2467 |
+
"loss": 0.3239,
|
| 2468 |
+
"nll_loss": 1.4375,
|
| 2469 |
+
"rewards/accuracies": 1.0,
|
| 2470 |
+
"rewards/chosen": 1.15625,
|
| 2471 |
+
"rewards/margins": 6.75,
|
| 2472 |
+
"rewards/rejected": -5.59375,
|
| 2473 |
+
"step": 154
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"epoch": 0.9064327485380117,
|
| 2477 |
+
"grad_norm": 0.2535851299762726,
|
| 2478 |
+
"learning_rate": 2.3876057330792344e-07,
|
| 2479 |
+
"logits/chosen": 0.134765625,
|
| 2480 |
+
"logits/rejected": 0.578125,
|
| 2481 |
+
"logps/chosen": -69.5,
|
| 2482 |
+
"logps/rejected": -12.875,
|
| 2483 |
+
"loss": 0.3099,
|
| 2484 |
+
"nll_loss": 1.6484375,
|
| 2485 |
+
"rewards/accuracies": 1.0,
|
| 2486 |
+
"rewards/chosen": 3.8125,
|
| 2487 |
+
"rewards/margins": 7.09375,
|
| 2488 |
+
"rewards/rejected": -3.28125,
|
| 2489 |
+
"step": 155
|
| 2490 |
+
},
|
| 2491 |
+
{
|
| 2492 |
+
"epoch": 0.9122807017543859,
|
| 2493 |
+
"grad_norm": 0.9155167937278748,
|
| 2494 |
+
"learning_rate": 2.1005243842255552e-07,
|
| 2495 |
+
"logits/chosen": 0.341796875,
|
| 2496 |
+
"logits/rejected": 0.045654296875,
|
| 2497 |
+
"logps/chosen": -39.75,
|
| 2498 |
+
"logps/rejected": -22.25,
|
| 2499 |
+
"loss": 0.3564,
|
| 2500 |
+
"nll_loss": 1.3828125,
|
| 2501 |
+
"rewards/accuracies": 1.0,
|
| 2502 |
+
"rewards/chosen": 1.3828125,
|
| 2503 |
+
"rewards/margins": 5.15625,
|
| 2504 |
+
"rewards/rejected": -3.765625,
|
| 2505 |
+
"step": 156
|
| 2506 |
+
},
|
| 2507 |
+
{
|
| 2508 |
+
"epoch": 0.9181286549707602,
|
| 2509 |
+
"grad_norm": 0.6450337171554565,
|
| 2510 |
+
"learning_rate": 1.8314560692059836e-07,
|
| 2511 |
+
"logits/chosen": 0.05419921875,
|
| 2512 |
+
"logits/rejected": 0.10302734375,
|
| 2513 |
+
"logps/chosen": -67.5,
|
| 2514 |
+
"logps/rejected": -11.3125,
|
| 2515 |
+
"loss": 0.319,
|
| 2516 |
+
"nll_loss": 1.4765625,
|
| 2517 |
+
"rewards/accuracies": 0.75,
|
| 2518 |
+
"rewards/chosen": 2.28125,
|
| 2519 |
+
"rewards/margins": 5.25,
|
| 2520 |
+
"rewards/rejected": -2.96875,
|
| 2521 |
+
"step": 157
|
| 2522 |
+
},
|
| 2523 |
+
{
|
| 2524 |
+
"epoch": 0.9239766081871345,
|
| 2525 |
+
"grad_norm": 0.455644816160202,
|
| 2526 |
+
"learning_rate": 1.5805019736097105e-07,
|
| 2527 |
+
"logits/chosen": 0.11572265625,
|
| 2528 |
+
"logits/rejected": 0.126953125,
|
| 2529 |
+
"logps/chosen": -125.5,
|
| 2530 |
+
"logps/rejected": -31.25,
|
| 2531 |
+
"loss": 0.3109,
|
| 2532 |
+
"nll_loss": 1.375,
|
| 2533 |
+
"rewards/accuracies": 1.0,
|
| 2534 |
+
"rewards/chosen": 0.5625,
|
| 2535 |
+
"rewards/margins": 6.21875,
|
| 2536 |
+
"rewards/rejected": -5.65625,
|
| 2537 |
+
"step": 158
|
| 2538 |
+
},
|
| 2539 |
+
{
|
| 2540 |
+
"epoch": 0.9298245614035088,
|
| 2541 |
+
"grad_norm": 0.5387133359909058,
|
| 2542 |
+
"learning_rate": 1.3477564710088097e-07,
|
| 2543 |
+
"logits/chosen": 0.0093994140625,
|
| 2544 |
+
"logits/rejected": -0.1943359375,
|
| 2545 |
+
"logps/chosen": -100.0,
|
| 2546 |
+
"logps/rejected": -55.75,
|
| 2547 |
+
"loss": 0.3451,
|
| 2548 |
+
"nll_loss": 1.421875,
|
| 2549 |
+
"rewards/accuracies": 1.0,
|
| 2550 |
+
"rewards/chosen": 0.84375,
|
| 2551 |
+
"rewards/margins": 8.3125,
|
| 2552 |
+
"rewards/rejected": -7.4375,
|
| 2553 |
+
"step": 159
|
| 2554 |
+
},
|
| 2555 |
+
{
|
| 2556 |
+
"epoch": 0.935672514619883,
|
| 2557 |
+
"grad_norm": 0.8238602876663208,
|
| 2558 |
+
"learning_rate": 1.1333070874682217e-07,
|
| 2559 |
+
"logits/chosen": 0.3046875,
|
| 2560 |
+
"logits/rejected": -0.048583984375,
|
| 2561 |
+
"logps/chosen": -28.25,
|
| 2562 |
+
"logps/rejected": -23.125,
|
| 2563 |
+
"loss": 0.3132,
|
| 2564 |
+
"nll_loss": 1.109375,
|
| 2565 |
+
"rewards/accuracies": 1.0,
|
| 2566 |
+
"rewards/chosen": 0.609375,
|
| 2567 |
+
"rewards/margins": 5.0625,
|
| 2568 |
+
"rewards/rejected": -4.46875,
|
| 2569 |
+
"step": 160
|
| 2570 |
+
},
|
| 2571 |
+
{
|
| 2572 |
+
"epoch": 0.9415204678362573,
|
| 2573 |
+
"grad_norm": 0.33214011788368225,
|
| 2574 |
+
"learning_rate": 9.372344686307655e-08,
|
| 2575 |
+
"logits/chosen": 0.11865234375,
|
| 2576 |
+
"logits/rejected": 0.2177734375,
|
| 2577 |
+
"logps/chosen": -75.0,
|
| 2578 |
+
"logps/rejected": -25.25,
|
| 2579 |
+
"loss": 0.3014,
|
| 2580 |
+
"nll_loss": 1.3359375,
|
| 2581 |
+
"rewards/accuracies": 1.0,
|
| 2582 |
+
"rewards/chosen": 4.03125,
|
| 2583 |
+
"rewards/margins": 8.3125,
|
| 2584 |
+
"rewards/rejected": -4.28125,
|
| 2585 |
+
"step": 161
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 0.9473684210526315,
|
| 2589 |
+
"grad_norm": 0.7948828935623169,
|
| 2590 |
+
"learning_rate": 7.59612349389599e-08,
|
| 2591 |
+
"logits/chosen": 0.1044921875,
|
| 2592 |
+
"logits/rejected": 0.029296875,
|
| 2593 |
+
"logps/chosen": -131.0,
|
| 2594 |
+
"logps/rejected": -52.5,
|
| 2595 |
+
"loss": 0.3363,
|
| 2596 |
+
"nll_loss": 1.484375,
|
| 2597 |
+
"rewards/accuracies": 1.0,
|
| 2598 |
+
"rewards/chosen": -0.1875,
|
| 2599 |
+
"rewards/margins": 6.4375,
|
| 2600 |
+
"rewards/rejected": -6.625,
|
| 2601 |
+
"step": 162
|
| 2602 |
+
},
|
| 2603 |
+
{
|
| 2604 |
+
"epoch": 0.9532163742690059,
|
| 2605 |
+
"grad_norm": 0.8551905155181885,
|
| 2606 |
+
"learning_rate": 6.005075261595495e-08,
|
| 2607 |
+
"logits/chosen": 0.2265625,
|
| 2608 |
+
"logits/rejected": 0.1142578125,
|
| 2609 |
+
"logps/chosen": -86.0,
|
| 2610 |
+
"logps/rejected": -78.0,
|
| 2611 |
+
"loss": 0.3298,
|
| 2612 |
+
"nll_loss": 1.28125,
|
| 2613 |
+
"rewards/accuracies": 1.0,
|
| 2614 |
+
"rewards/chosen": -0.296875,
|
| 2615 |
+
"rewards/margins": 6.625,
|
| 2616 |
+
"rewards/rejected": -6.90625,
|
| 2617 |
+
"step": 163
|
| 2618 |
+
},
|
| 2619 |
+
{
|
| 2620 |
+
"epoch": 0.9590643274853801,
|
| 2621 |
+
"grad_norm": 0.8062785267829895,
|
| 2622 |
+
"learning_rate": 4.599798317577342e-08,
|
| 2623 |
+
"logits/chosen": 0.341796875,
|
| 2624 |
+
"logits/rejected": 0.12890625,
|
| 2625 |
+
"logps/chosen": -49.75,
|
| 2626 |
+
"logps/rejected": -17.25,
|
| 2627 |
+
"loss": 0.3372,
|
| 2628 |
+
"nll_loss": 1.34375,
|
| 2629 |
+
"rewards/accuracies": 1.0,
|
| 2630 |
+
"rewards/chosen": 2.84375,
|
| 2631 |
+
"rewards/margins": 7.84375,
|
| 2632 |
+
"rewards/rejected": -5.0,
|
| 2633 |
+
"step": 164
|
| 2634 |
+
},
|
| 2635 |
+
{
|
| 2636 |
+
"epoch": 0.9649122807017544,
|
| 2637 |
+
"grad_norm": 0.8692733645439148,
|
| 2638 |
+
"learning_rate": 3.3808211290284886e-08,
|
| 2639 |
+
"logits/chosen": 0.40234375,
|
| 2640 |
+
"logits/rejected": 0.435546875,
|
| 2641 |
+
"logps/chosen": -47.75,
|
| 2642 |
+
"logps/rejected": -16.375,
|
| 2643 |
+
"loss": 0.36,
|
| 2644 |
+
"nll_loss": 1.4453125,
|
| 2645 |
+
"rewards/accuracies": 1.0,
|
| 2646 |
+
"rewards/chosen": 2.796875,
|
| 2647 |
+
"rewards/margins": 6.09375,
|
| 2648 |
+
"rewards/rejected": -3.3125,
|
| 2649 |
+
"step": 165
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 0.9707602339181286,
|
| 2653 |
+
"grad_norm": 1.0079779624938965,
|
| 2654 |
+
"learning_rate": 2.3486021034170857e-08,
|
| 2655 |
+
"logits/chosen": 0.020263671875,
|
| 2656 |
+
"logits/rejected": 0.1279296875,
|
| 2657 |
+
"logps/chosen": -95.5,
|
| 2658 |
+
"logps/rejected": -28.25,
|
| 2659 |
+
"loss": 0.3105,
|
| 2660 |
+
"nll_loss": 1.5625,
|
| 2661 |
+
"rewards/accuracies": 1.0,
|
| 2662 |
+
"rewards/chosen": 3.546875,
|
| 2663 |
+
"rewards/margins": 8.4375,
|
| 2664 |
+
"rewards/rejected": -4.90625,
|
| 2665 |
+
"step": 166
|
| 2666 |
+
},
|
| 2667 |
+
{
|
| 2668 |
+
"epoch": 0.9766081871345029,
|
| 2669 |
+
"grad_norm": 0.6318630576133728,
|
| 2670 |
+
"learning_rate": 1.5035294161039882e-08,
|
| 2671 |
+
"logits/chosen": 0.279296875,
|
| 2672 |
+
"logits/rejected": 0.1279296875,
|
| 2673 |
+
"logps/chosen": -65.5,
|
| 2674 |
+
"logps/rejected": -33.0,
|
| 2675 |
+
"loss": 0.3509,
|
| 2676 |
+
"nll_loss": 1.3203125,
|
| 2677 |
+
"rewards/accuracies": 1.0,
|
| 2678 |
+
"rewards/chosen": 0.40625,
|
| 2679 |
+
"rewards/margins": 5.96875,
|
| 2680 |
+
"rewards/rejected": -5.5625,
|
| 2681 |
+
"step": 167
|
| 2682 |
+
},
|
| 2683 |
+
{
|
| 2684 |
+
"epoch": 0.9824561403508771,
|
| 2685 |
+
"grad_norm": 0.29909488558769226,
|
| 2686 |
+
"learning_rate": 8.459208643659122e-09,
|
| 2687 |
+
"logits/chosen": 0.125,
|
| 2688 |
+
"logits/rejected": -0.1298828125,
|
| 2689 |
+
"logps/chosen": -95.5,
|
| 2690 |
+
"logps/rejected": -25.25,
|
| 2691 |
+
"loss": 0.3252,
|
| 2692 |
+
"nll_loss": 1.234375,
|
| 2693 |
+
"rewards/accuracies": 1.0,
|
| 2694 |
+
"rewards/chosen": 2.375,
|
| 2695 |
+
"rewards/margins": 6.3125,
|
| 2696 |
+
"rewards/rejected": -3.9375,
|
| 2697 |
+
"step": 168
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 0.9883040935672515,
|
| 2701 |
+
"grad_norm": 0.5387401580810547,
|
| 2702 |
+
"learning_rate": 3.760237478849793e-09,
|
| 2703 |
+
"logits/chosen": 0.212890625,
|
| 2704 |
+
"logits/rejected": 0.26171875,
|
| 2705 |
+
"logps/chosen": -50.5,
|
| 2706 |
+
"logps/rejected": -7.9375,
|
| 2707 |
+
"loss": 0.3005,
|
| 2708 |
+
"nll_loss": 1.25,
|
| 2709 |
+
"rewards/accuracies": 1.0,
|
| 2710 |
+
"rewards/chosen": 2.734375,
|
| 2711 |
+
"rewards/margins": 5.6875,
|
| 2712 |
+
"rewards/rejected": -2.953125,
|
| 2713 |
+
"step": 169
|
| 2714 |
+
},
|
| 2715 |
+
{
|
| 2716 |
+
"epoch": 0.9941520467836257,
|
| 2717 |
+
"grad_norm": 0.8090826272964478,
|
| 2718 |
+
"learning_rate": 9.401477574932927e-10,
|
| 2719 |
+
"logits/chosen": 0.1474609375,
|
| 2720 |
+
"logits/rejected": 0.0162353515625,
|
| 2721 |
+
"logps/chosen": -85.5,
|
| 2722 |
+
"logps/rejected": -35.75,
|
| 2723 |
+
"loss": 0.2936,
|
| 2724 |
+
"nll_loss": 1.2734375,
|
| 2725 |
+
"rewards/accuracies": 1.0,
|
| 2726 |
+
"rewards/chosen": 1.25,
|
| 2727 |
+
"rewards/margins": 6.40625,
|
| 2728 |
+
"rewards/rejected": -5.15625,
|
| 2729 |
+
"step": 170
|
| 2730 |
+
},
|
| 2731 |
+
{
|
| 2732 |
+
"epoch": 1.0,
|
| 2733 |
+
"grad_norm": 0.5961074829101562,
|
| 2734 |
+
"learning_rate": 0.0,
|
| 2735 |
+
"logits/chosen": 0.41796875,
|
| 2736 |
+
"logits/rejected": 0.220703125,
|
| 2737 |
+
"logps/chosen": -35.0,
|
| 2738 |
+
"logps/rejected": -24.0,
|
| 2739 |
+
"loss": 0.2952,
|
| 2740 |
+
"nll_loss": 0.89453125,
|
| 2741 |
+
"rewards/accuracies": 1.0,
|
| 2742 |
+
"rewards/chosen": -0.75390625,
|
| 2743 |
+
"rewards/margins": 4.15625,
|
| 2744 |
+
"rewards/rejected": -4.90625,
|
| 2745 |
+
"step": 171
|
| 2746 |
+
}
|
| 2747 |
+
],
|
| 2748 |
+
"logging_steps": 1,
|
| 2749 |
+
"max_steps": 171,
|
| 2750 |
+
"num_input_tokens_seen": 0,
|
| 2751 |
+
"num_train_epochs": 1,
|
| 2752 |
+
"save_steps": 500,
|
| 2753 |
+
"stateful_callbacks": {
|
| 2754 |
+
"TrainerControl": {
|
| 2755 |
+
"args": {
|
| 2756 |
+
"should_epoch_stop": false,
|
| 2757 |
+
"should_evaluate": false,
|
| 2758 |
+
"should_log": false,
|
| 2759 |
+
"should_save": true,
|
| 2760 |
+
"should_training_stop": true
|
| 2761 |
+
},
|
| 2762 |
+
"attributes": {}
|
| 2763 |
+
}
|
| 2764 |
+
},
|
| 2765 |
+
"total_flos": 0.0,
|
| 2766 |
+
"train_batch_size": 4,
|
| 2767 |
+
"trial_name": null,
|
| 2768 |
+
"trial_params": null
|
| 2769 |
+
}
|
7b/iteration1/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0c4877ccc02fb1ffdfff8ba648f988fe56ad16f63dd5cc8d2f636b43152bfbba
|
| 3 |
+
size 8056
|
7b/iteration2/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: pretrain_model/llava-1.5-7b-hf
|
| 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 0.14.0
|
7b/iteration2/adapter_config.json
ADDED
|
@@ -0,0 +1,130 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "pretrain_model/llava-1.5-7b-hf",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 256,
|
| 16 |
+
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0.05,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 128,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"24.self_attn.q_proj",
|
| 27 |
+
"model.layers.13.self_attn.v_proj",
|
| 28 |
+
"model.layers.3.self_attn.k_proj",
|
| 29 |
+
"model.layers.14.self_attn.k_proj",
|
| 30 |
+
"model.layers.13.self_attn.k_proj",
|
| 31 |
+
"model.layers.20.self_attn.q_proj",
|
| 32 |
+
"model.layers.16.self_attn.k_proj",
|
| 33 |
+
"28.self_attn.q_proj",
|
| 34 |
+
"model.layers.14.self_attn.q_proj",
|
| 35 |
+
"25.self_attn.k_proj",
|
| 36 |
+
"model.layers.7.self_attn.q_proj",
|
| 37 |
+
"model.layers.21.self_attn.k_proj",
|
| 38 |
+
"model.layers.14.self_attn.v_proj",
|
| 39 |
+
"26.self_attn.q_proj",
|
| 40 |
+
"30.self_attn.q_proj",
|
| 41 |
+
"model.layers.23.self_attn.k_proj",
|
| 42 |
+
"25.self_attn.q_proj",
|
| 43 |
+
"model.layers.8.self_attn.k_proj",
|
| 44 |
+
"model.layers.9.self_attn.v_proj",
|
| 45 |
+
"model.layers.9.self_attn.q_proj",
|
| 46 |
+
"model.layers.17.self_attn.q_proj",
|
| 47 |
+
"26.self_attn.k_proj",
|
| 48 |
+
"25.self_attn.v_proj",
|
| 49 |
+
"24.self_attn.v_proj",
|
| 50 |
+
"model.layers.13.self_attn.q_proj",
|
| 51 |
+
"model.layers.23.self_attn.v_proj",
|
| 52 |
+
"30.self_attn.k_proj",
|
| 53 |
+
"model.layers.1.self_attn.v_proj",
|
| 54 |
+
"model.layers.9.self_attn.k_proj",
|
| 55 |
+
"model.layers.5.self_attn.k_proj",
|
| 56 |
+
"model.layers.11.self_attn.q_proj",
|
| 57 |
+
"31.self_attn.k_proj",
|
| 58 |
+
"model.layers.15.self_attn.v_proj",
|
| 59 |
+
"model.layers.22.self_attn.q_proj",
|
| 60 |
+
"model.layers.1.self_attn.k_proj",
|
| 61 |
+
"model.layers.17.self_attn.v_proj",
|
| 62 |
+
"model.layers.12.self_attn.k_proj",
|
| 63 |
+
"model.layers.0.self_attn.q_proj",
|
| 64 |
+
"model.layers.19.self_attn.q_proj",
|
| 65 |
+
"model.layers.18.self_attn.k_proj",
|
| 66 |
+
"model.layers.23.self_attn.q_proj",
|
| 67 |
+
"27.self_attn.k_proj",
|
| 68 |
+
"up_proj",
|
| 69 |
+
"29.self_attn.v_proj",
|
| 70 |
+
"27.self_attn.q_proj",
|
| 71 |
+
"31.self_attn.v_proj",
|
| 72 |
+
"model.layers.12.self_attn.q_proj",
|
| 73 |
+
"model.layers.22.self_attn.v_proj",
|
| 74 |
+
"gate_proj",
|
| 75 |
+
"model.layers.8.self_attn.q_proj",
|
| 76 |
+
"model.layers.6.self_attn.v_proj",
|
| 77 |
+
"model.layers.16.self_attn.q_proj",
|
| 78 |
+
"model.layers.4.self_attn.q_proj",
|
| 79 |
+
"model.layers.19.self_attn.v_proj",
|
| 80 |
+
"model.layers.8.self_attn.v_proj",
|
| 81 |
+
"model.layers.18.self_attn.v_proj",
|
| 82 |
+
"model.layers.15.self_attn.q_proj",
|
| 83 |
+
"model.layers.1.self_attn.q_proj",
|
| 84 |
+
"model.layers.19.self_attn.k_proj",
|
| 85 |
+
"model.layers.2.self_attn.v_proj",
|
| 86 |
+
"o_proj",
|
| 87 |
+
"model.layers.10.self_attn.v_proj",
|
| 88 |
+
"model.layers.4.self_attn.k_proj",
|
| 89 |
+
"model.layers.5.self_attn.v_proj",
|
| 90 |
+
"model.layers.15.self_attn.k_proj",
|
| 91 |
+
"down_proj",
|
| 92 |
+
"24.self_attn.k_proj",
|
| 93 |
+
"model.layers.2.self_attn.k_proj",
|
| 94 |
+
"model.layers.21.self_attn.v_proj",
|
| 95 |
+
"model.layers.6.self_attn.q_proj",
|
| 96 |
+
"model.layers.3.self_attn.q_proj",
|
| 97 |
+
"27.self_attn.v_proj",
|
| 98 |
+
"model.layers.11.self_attn.k_proj",
|
| 99 |
+
"30.self_attn.v_proj",
|
| 100 |
+
"model.layers.7.self_attn.k_proj",
|
| 101 |
+
"model.layers.10.self_attn.k_proj",
|
| 102 |
+
"model.layers.10.self_attn.q_proj",
|
| 103 |
+
"29.self_attn.q_proj",
|
| 104 |
+
"31.self_attn.q_proj",
|
| 105 |
+
"28.self_attn.k_proj",
|
| 106 |
+
"26.self_attn.v_proj",
|
| 107 |
+
"model.layers.20.self_attn.k_proj",
|
| 108 |
+
"model.layers.2.self_attn.q_proj",
|
| 109 |
+
"model.layers.21.self_attn.q_proj",
|
| 110 |
+
"model.layers.12.self_attn.v_proj",
|
| 111 |
+
"28.self_attn.v_proj",
|
| 112 |
+
"model.layers.17.self_attn.k_proj",
|
| 113 |
+
"29.self_attn.k_proj",
|
| 114 |
+
"model.layers.5.self_attn.q_proj",
|
| 115 |
+
"model.layers.20.self_attn.v_proj",
|
| 116 |
+
"model.layers.7.self_attn.v_proj",
|
| 117 |
+
"model.layers.0.self_attn.v_proj",
|
| 118 |
+
"model.layers.6.self_attn.k_proj",
|
| 119 |
+
"model.layers.16.self_attn.v_proj",
|
| 120 |
+
"model.layers.11.self_attn.v_proj",
|
| 121 |
+
"model.layers.0.self_attn.k_proj",
|
| 122 |
+
"model.layers.22.self_attn.k_proj",
|
| 123 |
+
"model.layers.4.self_attn.v_proj",
|
| 124 |
+
"model.layers.18.self_attn.q_proj",
|
| 125 |
+
"model.layers.3.self_attn.v_proj"
|
| 126 |
+
],
|
| 127 |
+
"task_type": "CAUSAL_LM",
|
| 128 |
+
"use_dora": false,
|
| 129 |
+
"use_rslora": false
|
| 130 |
+
}
|
7b/iteration2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6af4787eaf6a4528a69021075ed5bf7253a581cdf53d1f7beee79575a6dd59d1
|
| 3 |
+
size 639699488
|
7b/iteration2/added_tokens.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<image>": 32000,
|
| 3 |
+
"<pad>": 32001
|
| 4 |
+
}
|
7b/iteration2/chat_template.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chat_template": "{% for message in messages %}{% if message['role'] != 'system' %}{{ message['role'].upper() + ': '}}{% endif %}{# Render all images first #}{% for content in message['content'] | selectattr('type', 'equalto', 'image') %}{{ '<image>\n' }}{% endfor %}{# Render all text next #}{% if message['role'] != 'assistant' %}{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}{{ content['text'] + ' '}}{% endfor %}{% else %}{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}{% generation %}{{ content['text'] + ' '}}{% endgeneration %}{% endfor %}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'ASSISTANT:' }}{% endif %}"
|
| 3 |
+
}
|
7b/iteration2/preprocessor_config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": {
|
| 3 |
+
"height": 336,
|
| 4 |
+
"width": 336
|
| 5 |
+
},
|
| 6 |
+
"do_center_crop": true,
|
| 7 |
+
"do_convert_rgb": true,
|
| 8 |
+
"do_normalize": true,
|
| 9 |
+
"do_rescale": true,
|
| 10 |
+
"do_resize": true,
|
| 11 |
+
"image_mean": [
|
| 12 |
+
0.48145466,
|
| 13 |
+
0.4578275,
|
| 14 |
+
0.40821073
|
| 15 |
+
],
|
| 16 |
+
"image_processor_type": "CLIPImageProcessor",
|
| 17 |
+
"image_std": [
|
| 18 |
+
0.26862954,
|
| 19 |
+
0.26130258,
|
| 20 |
+
0.27577711
|
| 21 |
+
],
|
| 22 |
+
"processor_class": "LlavaProcessor",
|
| 23 |
+
"resample": 3,
|
| 24 |
+
"rescale_factor": 0.00392156862745098,
|
| 25 |
+
"size": {
|
| 26 |
+
"shortest_edge": 336
|
| 27 |
+
}
|
| 28 |
+
}
|
7b/iteration2/processor_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_token": "<image>",
|
| 3 |
+
"num_additional_image_tokens": 1,
|
| 4 |
+
"patch_size": 14,
|
| 5 |
+
"processor_class": "LlavaProcessor",
|
| 6 |
+
"vision_feature_select_strategy": "default"
|
| 7 |
+
}
|
7b/iteration2/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"image_token": "<image>",
|
| 17 |
+
"pad_token": {
|
| 18 |
+
"content": "<pad>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"unk_token": {
|
| 25 |
+
"content": "<unk>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
7b/iteration2/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
7b/iteration2/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
7b/iteration2/tokenizer_config.json
ADDED
|
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"32000": {
|
| 31 |
+
"content": "<image>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"32001": {
|
| 39 |
+
"content": "<pad>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"bos_token": "<s>",
|
| 48 |
+
"clean_up_tokenization_spaces": false,
|
| 49 |
+
"eos_token": "</s>",
|
| 50 |
+
"extra_special_tokens": {
|
| 51 |
+
"image_token": "<image>"
|
| 52 |
+
},
|
| 53 |
+
"image_token": "<image>",
|
| 54 |
+
"legacy": false,
|
| 55 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 56 |
+
"pad_token": "<pad>",
|
| 57 |
+
"padding_side": "right",
|
| 58 |
+
"processor_class": "LlavaProcessor",
|
| 59 |
+
"sp_model_kwargs": {},
|
| 60 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 61 |
+
"trust_remote_code": false,
|
| 62 |
+
"unk_token": "<unk>",
|
| 63 |
+
"use_default_system_prompt": false
|
| 64 |
+
}
|
7b/iteration2/trainer_state.json
ADDED
|
@@ -0,0 +1,2373 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 4.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 468,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.02564102564102564,
|
| 13 |
+
"grad_norm": 1.8807990550994873,
|
| 14 |
+
"learning_rate": 2e-07,
|
| 15 |
+
"logits/chosen": 0.13671875,
|
| 16 |
+
"logits/rejected": 0.1728515625,
|
| 17 |
+
"logps/chosen": -109.5,
|
| 18 |
+
"logps/rejected": -122.5,
|
| 19 |
+
"loss": 0.6921,
|
| 20 |
+
"rewards/accuracies": 0.0416666679084301,
|
| 21 |
+
"rewards/chosen": 0.00104522705078125,
|
| 22 |
+
"rewards/margins": -0.0031280517578125,
|
| 23 |
+
"rewards/rejected": 0.004180908203125,
|
| 24 |
+
"step": 3
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.05128205128205128,
|
| 28 |
+
"grad_norm": 1.8764904737472534,
|
| 29 |
+
"learning_rate": 4e-07,
|
| 30 |
+
"logits/chosen": 0.29296875,
|
| 31 |
+
"logits/rejected": 0.345703125,
|
| 32 |
+
"logps/chosen": -106.0,
|
| 33 |
+
"logps/rejected": -128.0,
|
| 34 |
+
"loss": 0.6943,
|
| 35 |
+
"rewards/accuracies": 0.375,
|
| 36 |
+
"rewards/chosen": -0.000518798828125,
|
| 37 |
+
"rewards/margins": -0.007049560546875,
|
| 38 |
+
"rewards/rejected": 0.006500244140625,
|
| 39 |
+
"step": 6
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.07692307692307693,
|
| 43 |
+
"grad_norm": 1.893288493156433,
|
| 44 |
+
"learning_rate": 6e-07,
|
| 45 |
+
"logits/chosen": 0.1279296875,
|
| 46 |
+
"logits/rejected": 0.1923828125,
|
| 47 |
+
"logps/chosen": -99.0,
|
| 48 |
+
"logps/rejected": -110.0,
|
| 49 |
+
"loss": 0.6906,
|
| 50 |
+
"rewards/accuracies": 0.2916666567325592,
|
| 51 |
+
"rewards/chosen": 0.0036468505859375,
|
| 52 |
+
"rewards/margins": 0.00494384765625,
|
| 53 |
+
"rewards/rejected": -0.0012969970703125,
|
| 54 |
+
"step": 9
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 0.10256410256410256,
|
| 58 |
+
"grad_norm": 1.7804158926010132,
|
| 59 |
+
"learning_rate": 8e-07,
|
| 60 |
+
"logits/chosen": 0.28515625,
|
| 61 |
+
"logits/rejected": 0.302734375,
|
| 62 |
+
"logps/chosen": -119.0,
|
| 63 |
+
"logps/rejected": -128.0,
|
| 64 |
+
"loss": 0.6932,
|
| 65 |
+
"rewards/accuracies": 0.1666666716337204,
|
| 66 |
+
"rewards/chosen": -0.0078125,
|
| 67 |
+
"rewards/margins": -0.01214599609375,
|
| 68 |
+
"rewards/rejected": 0.004302978515625,
|
| 69 |
+
"step": 12
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.1282051282051282,
|
| 73 |
+
"grad_norm": 1.8483916521072388,
|
| 74 |
+
"learning_rate": 1e-06,
|
| 75 |
+
"logits/chosen": 0.2392578125,
|
| 76 |
+
"logits/rejected": 0.2021484375,
|
| 77 |
+
"logps/chosen": -99.5,
|
| 78 |
+
"logps/rejected": -119.5,
|
| 79 |
+
"loss": 0.6914,
|
| 80 |
+
"rewards/accuracies": 0.25,
|
| 81 |
+
"rewards/chosen": 0.0026092529296875,
|
| 82 |
+
"rewards/margins": -0.0130615234375,
|
| 83 |
+
"rewards/rejected": 0.015625,
|
| 84 |
+
"step": 15
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 0.15384615384615385,
|
| 88 |
+
"grad_norm": 1.9503748416900635,
|
| 89 |
+
"learning_rate": 1.2e-06,
|
| 90 |
+
"logits/chosen": 0.197265625,
|
| 91 |
+
"logits/rejected": 0.1669921875,
|
| 92 |
+
"logps/chosen": -122.0,
|
| 93 |
+
"logps/rejected": -141.0,
|
| 94 |
+
"loss": 0.6929,
|
| 95 |
+
"rewards/accuracies": 0.2916666567325592,
|
| 96 |
+
"rewards/chosen": 0.00653076171875,
|
| 97 |
+
"rewards/margins": 0.01171875,
|
| 98 |
+
"rewards/rejected": -0.005218505859375,
|
| 99 |
+
"step": 18
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.1794871794871795,
|
| 103 |
+
"grad_norm": 1.7854230403900146,
|
| 104 |
+
"learning_rate": 1.4e-06,
|
| 105 |
+
"logits/chosen": 0.208984375,
|
| 106 |
+
"logits/rejected": 0.25,
|
| 107 |
+
"logps/chosen": -106.0,
|
| 108 |
+
"logps/rejected": -108.5,
|
| 109 |
+
"loss": 0.6872,
|
| 110 |
+
"rewards/accuracies": 0.375,
|
| 111 |
+
"rewards/chosen": -0.00182342529296875,
|
| 112 |
+
"rewards/margins": 0.01092529296875,
|
| 113 |
+
"rewards/rejected": -0.01275634765625,
|
| 114 |
+
"step": 21
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.20512820512820512,
|
| 118 |
+
"grad_norm": 2.020820379257202,
|
| 119 |
+
"learning_rate": 1.6e-06,
|
| 120 |
+
"logits/chosen": 0.294921875,
|
| 121 |
+
"logits/rejected": 0.345703125,
|
| 122 |
+
"logps/chosen": -120.0,
|
| 123 |
+
"logps/rejected": -123.0,
|
| 124 |
+
"loss": 0.6888,
|
| 125 |
+
"rewards/accuracies": 0.3333333432674408,
|
| 126 |
+
"rewards/chosen": -0.007171630859375,
|
| 127 |
+
"rewards/margins": -0.00194549560546875,
|
| 128 |
+
"rewards/rejected": -0.00518798828125,
|
| 129 |
+
"step": 24
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.23076923076923078,
|
| 133 |
+
"grad_norm": 2.045447826385498,
|
| 134 |
+
"learning_rate": 1.8e-06,
|
| 135 |
+
"logits/chosen": 0.20703125,
|
| 136 |
+
"logits/rejected": 0.271484375,
|
| 137 |
+
"logps/chosen": -113.0,
|
| 138 |
+
"logps/rejected": -126.0,
|
| 139 |
+
"loss": 0.6945,
|
| 140 |
+
"rewards/accuracies": 0.25,
|
| 141 |
+
"rewards/chosen": -0.00885009765625,
|
| 142 |
+
"rewards/margins": -0.00469970703125,
|
| 143 |
+
"rewards/rejected": -0.004180908203125,
|
| 144 |
+
"step": 27
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.2564102564102564,
|
| 148 |
+
"grad_norm": 2.0050930976867676,
|
| 149 |
+
"learning_rate": 2e-06,
|
| 150 |
+
"logits/chosen": 0.19921875,
|
| 151 |
+
"logits/rejected": 0.27734375,
|
| 152 |
+
"logps/chosen": -122.5,
|
| 153 |
+
"logps/rejected": -145.0,
|
| 154 |
+
"loss": 0.6925,
|
| 155 |
+
"rewards/accuracies": 0.2083333283662796,
|
| 156 |
+
"rewards/chosen": -0.004180908203125,
|
| 157 |
+
"rewards/margins": -0.00311279296875,
|
| 158 |
+
"rewards/rejected": -0.00103759765625,
|
| 159 |
+
"step": 30
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.28205128205128205,
|
| 163 |
+
"grad_norm": 2.0118536949157715,
|
| 164 |
+
"learning_rate": 1.9998558164028463e-06,
|
| 165 |
+
"logits/chosen": 0.1953125,
|
| 166 |
+
"logits/rejected": 0.1748046875,
|
| 167 |
+
"logps/chosen": -124.0,
|
| 168 |
+
"logps/rejected": -143.0,
|
| 169 |
+
"loss": 0.6917,
|
| 170 |
+
"rewards/accuracies": 0.2916666567325592,
|
| 171 |
+
"rewards/chosen": -0.0020904541015625,
|
| 172 |
+
"rewards/margins": -0.004058837890625,
|
| 173 |
+
"rewards/rejected": 0.0019683837890625,
|
| 174 |
+
"step": 33
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 0.3076923076923077,
|
| 178 |
+
"grad_norm": 1.921610951423645,
|
| 179 |
+
"learning_rate": 1.9994233071892054e-06,
|
| 180 |
+
"logits/chosen": 0.142578125,
|
| 181 |
+
"logits/rejected": 0.1748046875,
|
| 182 |
+
"logps/chosen": -100.5,
|
| 183 |
+
"logps/rejected": -126.0,
|
| 184 |
+
"loss": 0.6862,
|
| 185 |
+
"rewards/accuracies": 0.4166666567325592,
|
| 186 |
+
"rewards/chosen": 0.0059814453125,
|
| 187 |
+
"rewards/margins": 0.0289306640625,
|
| 188 |
+
"rewards/rejected": -0.02294921875,
|
| 189 |
+
"step": 36
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.3333333333333333,
|
| 193 |
+
"grad_norm": 1.9476183652877808,
|
| 194 |
+
"learning_rate": 1.998702597080545e-06,
|
| 195 |
+
"logits/chosen": 0.1533203125,
|
| 196 |
+
"logits/rejected": 0.1689453125,
|
| 197 |
+
"logps/chosen": -134.0,
|
| 198 |
+
"logps/rejected": -134.0,
|
| 199 |
+
"loss": 0.687,
|
| 200 |
+
"rewards/accuracies": 0.2916666567325592,
|
| 201 |
+
"rewards/chosen": -0.0093994140625,
|
| 202 |
+
"rewards/margins": 0.0093994140625,
|
| 203 |
+
"rewards/rejected": -0.018798828125,
|
| 204 |
+
"step": 39
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 0.358974358974359,
|
| 208 |
+
"grad_norm": 2.0101871490478516,
|
| 209 |
+
"learning_rate": 1.997693893906017e-06,
|
| 210 |
+
"logits/chosen": 0.314453125,
|
| 211 |
+
"logits/rejected": 0.30078125,
|
| 212 |
+
"logps/chosen": -112.0,
|
| 213 |
+
"logps/rejected": -112.0,
|
| 214 |
+
"loss": 0.6868,
|
| 215 |
+
"rewards/accuracies": 0.375,
|
| 216 |
+
"rewards/chosen": -0.0106201171875,
|
| 217 |
+
"rewards/margins": 0.0013427734375,
|
| 218 |
+
"rewards/rejected": -0.01202392578125,
|
| 219 |
+
"step": 42
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.38461538461538464,
|
| 223 |
+
"grad_norm": 1.790059208869934,
|
| 224 |
+
"learning_rate": 1.996397488542526e-06,
|
| 225 |
+
"logits/chosen": 0.189453125,
|
| 226 |
+
"logits/rejected": 0.251953125,
|
| 227 |
+
"logps/chosen": -128.0,
|
| 228 |
+
"logps/rejected": -140.0,
|
| 229 |
+
"loss": 0.6833,
|
| 230 |
+
"rewards/accuracies": 0.4583333432674408,
|
| 231 |
+
"rewards/chosen": -0.0096435546875,
|
| 232 |
+
"rewards/margins": 0.015380859375,
|
| 233 |
+
"rewards/rejected": -0.0250244140625,
|
| 234 |
+
"step": 45
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.41025641025641024,
|
| 238 |
+
"grad_norm": 1.9502273797988892,
|
| 239 |
+
"learning_rate": 1.99481375483085e-06,
|
| 240 |
+
"logits/chosen": 0.267578125,
|
| 241 |
+
"logits/rejected": 0.2578125,
|
| 242 |
+
"logps/chosen": -105.5,
|
| 243 |
+
"logps/rejected": -108.0,
|
| 244 |
+
"loss": 0.6838,
|
| 245 |
+
"rewards/accuracies": 0.375,
|
| 246 |
+
"rewards/chosen": -0.01458740234375,
|
| 247 |
+
"rewards/margins": 0.01141357421875,
|
| 248 |
+
"rewards/rejected": -0.026123046875,
|
| 249 |
+
"step": 48
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.4358974358974359,
|
| 253 |
+
"grad_norm": 2.0794284343719482,
|
| 254 |
+
"learning_rate": 1.992943149467835e-06,
|
| 255 |
+
"logits/chosen": 0.10986328125,
|
| 256 |
+
"logits/rejected": 0.205078125,
|
| 257 |
+
"logps/chosen": -121.0,
|
| 258 |
+
"logps/rejected": -128.0,
|
| 259 |
+
"loss": 0.6795,
|
| 260 |
+
"rewards/accuracies": 0.5,
|
| 261 |
+
"rewards/chosen": 0.0,
|
| 262 |
+
"rewards/margins": 0.0291748046875,
|
| 263 |
+
"rewards/rejected": -0.029296875,
|
| 264 |
+
"step": 51
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.46153846153846156,
|
| 268 |
+
"grad_norm": 1.9881861209869385,
|
| 269 |
+
"learning_rate": 1.9907862118747023e-06,
|
| 270 |
+
"logits/chosen": 0.1796875,
|
| 271 |
+
"logits/rejected": 0.1865234375,
|
| 272 |
+
"logps/chosen": -130.0,
|
| 273 |
+
"logps/rejected": -132.0,
|
| 274 |
+
"loss": 0.6852,
|
| 275 |
+
"rewards/accuracies": 0.4166666567325592,
|
| 276 |
+
"rewards/chosen": -0.0022125244140625,
|
| 277 |
+
"rewards/margins": 0.0228271484375,
|
| 278 |
+
"rewards/rejected": -0.0250244140625,
|
| 279 |
+
"step": 54
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.48717948717948717,
|
| 283 |
+
"grad_norm": 1.941139817237854,
|
| 284 |
+
"learning_rate": 1.988343564041492e-06,
|
| 285 |
+
"logits/chosen": 0.2080078125,
|
| 286 |
+
"logits/rejected": 0.24609375,
|
| 287 |
+
"logps/chosen": -116.0,
|
| 288 |
+
"logps/rejected": -131.0,
|
| 289 |
+
"loss": 0.6751,
|
| 290 |
+
"rewards/accuracies": 0.5833333134651184,
|
| 291 |
+
"rewards/chosen": 0.023681640625,
|
| 292 |
+
"rewards/margins": 0.0615234375,
|
| 293 |
+
"rewards/rejected": -0.03759765625,
|
| 294 |
+
"step": 57
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 0.5128205128205128,
|
| 298 |
+
"grad_norm": 1.9498776197433472,
|
| 299 |
+
"learning_rate": 1.9856159103477083e-06,
|
| 300 |
+
"logits/chosen": 0.2041015625,
|
| 301 |
+
"logits/rejected": 0.193359375,
|
| 302 |
+
"logps/chosen": -105.5,
|
| 303 |
+
"logps/rejected": -110.0,
|
| 304 |
+
"loss": 0.6815,
|
| 305 |
+
"rewards/accuracies": 0.4583333432674408,
|
| 306 |
+
"rewards/chosen": -0.006744384765625,
|
| 307 |
+
"rewards/margins": 0.01123046875,
|
| 308 |
+
"rewards/rejected": -0.0179443359375,
|
| 309 |
+
"step": 60
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 0.5384615384615384,
|
| 313 |
+
"grad_norm": 2.001382827758789,
|
| 314 |
+
"learning_rate": 1.9826040373591932e-06,
|
| 315 |
+
"logits/chosen": 0.25,
|
| 316 |
+
"logits/rejected": 0.27734375,
|
| 317 |
+
"logps/chosen": -91.0,
|
| 318 |
+
"logps/rejected": -98.5,
|
| 319 |
+
"loss": 0.6746,
|
| 320 |
+
"rewards/accuracies": 0.5416666865348816,
|
| 321 |
+
"rewards/chosen": 0.01214599609375,
|
| 322 |
+
"rewards/margins": 0.03857421875,
|
| 323 |
+
"rewards/rejected": -0.0263671875,
|
| 324 |
+
"step": 63
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.5641025641025641,
|
| 328 |
+
"grad_norm": 2.089869737625122,
|
| 329 |
+
"learning_rate": 1.97930881360131e-06,
|
| 330 |
+
"logits/chosen": 0.1513671875,
|
| 331 |
+
"logits/rejected": 0.1220703125,
|
| 332 |
+
"logps/chosen": -126.5,
|
| 333 |
+
"logps/rejected": -130.0,
|
| 334 |
+
"loss": 0.6694,
|
| 335 |
+
"rewards/accuracies": 0.5416666865348816,
|
| 336 |
+
"rewards/chosen": -0.00156402587890625,
|
| 337 |
+
"rewards/margins": 0.048583984375,
|
| 338 |
+
"rewards/rejected": -0.050048828125,
|
| 339 |
+
"step": 66
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.5897435897435898,
|
| 343 |
+
"grad_norm": 1.9758906364440918,
|
| 344 |
+
"learning_rate": 1.9757311893084885e-06,
|
| 345 |
+
"logits/chosen": 0.298828125,
|
| 346 |
+
"logits/rejected": 0.203125,
|
| 347 |
+
"logps/chosen": -102.5,
|
| 348 |
+
"logps/rejected": -115.0,
|
| 349 |
+
"loss": 0.6667,
|
| 350 |
+
"rewards/accuracies": 0.5,
|
| 351 |
+
"rewards/chosen": -0.027099609375,
|
| 352 |
+
"rewards/margins": 0.0250244140625,
|
| 353 |
+
"rewards/rejected": -0.05224609375,
|
| 354 |
+
"step": 69
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 0.6153846153846154,
|
| 358 |
+
"grad_norm": 1.9816081523895264,
|
| 359 |
+
"learning_rate": 1.971872196150208e-06,
|
| 360 |
+
"logits/chosen": 0.259765625,
|
| 361 |
+
"logits/rejected": 0.328125,
|
| 362 |
+
"logps/chosen": -87.5,
|
| 363 |
+
"logps/rejected": -97.0,
|
| 364 |
+
"loss": 0.6711,
|
| 365 |
+
"rewards/accuracies": 0.5416666865348816,
|
| 366 |
+
"rewards/chosen": -0.00885009765625,
|
| 367 |
+
"rewards/margins": 0.035400390625,
|
| 368 |
+
"rewards/rejected": -0.04443359375,
|
| 369 |
+
"step": 72
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.6410256410256411,
|
| 373 |
+
"grad_norm": 1.8845876455307007,
|
| 374 |
+
"learning_rate": 1.967732946933499e-06,
|
| 375 |
+
"logits/chosen": 0.2373046875,
|
| 376 |
+
"logits/rejected": 0.23828125,
|
| 377 |
+
"logps/chosen": -117.0,
|
| 378 |
+
"logps/rejected": -110.5,
|
| 379 |
+
"loss": 0.6676,
|
| 380 |
+
"rewards/accuracies": 0.625,
|
| 381 |
+
"rewards/chosen": -0.0025787353515625,
|
| 382 |
+
"rewards/margins": 0.057373046875,
|
| 383 |
+
"rewards/rejected": -0.06005859375,
|
| 384 |
+
"step": 75
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.6666666666666666,
|
| 388 |
+
"grad_norm": 1.8938732147216797,
|
| 389 |
+
"learning_rate": 1.963314635282044e-06,
|
| 390 |
+
"logits/chosen": 0.263671875,
|
| 391 |
+
"logits/rejected": 0.2294921875,
|
| 392 |
+
"logps/chosen": -108.5,
|
| 393 |
+
"logps/rejected": -120.5,
|
| 394 |
+
"loss": 0.6626,
|
| 395 |
+
"rewards/accuracies": 0.625,
|
| 396 |
+
"rewards/chosen": -0.01300048828125,
|
| 397 |
+
"rewards/margins": 0.0634765625,
|
| 398 |
+
"rewards/rejected": -0.07666015625,
|
| 399 |
+
"step": 78
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 0.6923076923076923,
|
| 403 |
+
"grad_norm": 1.905861258506775,
|
| 404 |
+
"learning_rate": 1.9586185352919775e-06,
|
| 405 |
+
"logits/chosen": 0.181640625,
|
| 406 |
+
"logits/rejected": 0.275390625,
|
| 407 |
+
"logps/chosen": -113.5,
|
| 408 |
+
"logps/rejected": -114.0,
|
| 409 |
+
"loss": 0.6603,
|
| 410 |
+
"rewards/accuracies": 0.4583333432674408,
|
| 411 |
+
"rewards/chosen": 0.00830078125,
|
| 412 |
+
"rewards/margins": 0.06103515625,
|
| 413 |
+
"rewards/rejected": -0.052734375,
|
| 414 |
+
"step": 81
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 0.717948717948718,
|
| 418 |
+
"grad_norm": 2.1271400451660156,
|
| 419 |
+
"learning_rate": 1.9536460011644787e-06,
|
| 420 |
+
"logits/chosen": 0.208984375,
|
| 421 |
+
"logits/rejected": 0.2373046875,
|
| 422 |
+
"logps/chosen": -112.0,
|
| 423 |
+
"logps/rejected": -122.0,
|
| 424 |
+
"loss": 0.6602,
|
| 425 |
+
"rewards/accuracies": 0.5416666865348816,
|
| 426 |
+
"rewards/chosen": -0.007568359375,
|
| 427 |
+
"rewards/margins": 0.036865234375,
|
| 428 |
+
"rewards/rejected": -0.04443359375,
|
| 429 |
+
"step": 84
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.7435897435897436,
|
| 433 |
+
"grad_norm": 1.9534716606140137,
|
| 434 |
+
"learning_rate": 1.9483984668152616e-06,
|
| 435 |
+
"logits/chosen": 0.1650390625,
|
| 436 |
+
"logits/rejected": 0.240234375,
|
| 437 |
+
"logps/chosen": -110.0,
|
| 438 |
+
"logps/rejected": -102.0,
|
| 439 |
+
"loss": 0.6654,
|
| 440 |
+
"rewards/accuracies": 0.5833333134651184,
|
| 441 |
+
"rewards/chosen": -0.0137939453125,
|
| 442 |
+
"rewards/margins": 0.043212890625,
|
| 443 |
+
"rewards/rejected": -0.05712890625,
|
| 444 |
+
"step": 87
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.7692307692307693,
|
| 448 |
+
"grad_norm": 2.09041166305542,
|
| 449 |
+
"learning_rate": 1.942877445461084e-06,
|
| 450 |
+
"logits/chosen": 0.1435546875,
|
| 451 |
+
"logits/rejected": 0.1845703125,
|
| 452 |
+
"logps/chosen": -128.0,
|
| 453 |
+
"logps/rejected": -136.0,
|
| 454 |
+
"loss": 0.6473,
|
| 455 |
+
"rewards/accuracies": 0.875,
|
| 456 |
+
"rewards/chosen": 0.000507354736328125,
|
| 457 |
+
"rewards/margins": 0.09765625,
|
| 458 |
+
"rewards/rejected": -0.09716796875,
|
| 459 |
+
"step": 90
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.7948717948717948,
|
| 463 |
+
"grad_norm": 2.079911708831787,
|
| 464 |
+
"learning_rate": 1.9370845291833836e-06,
|
| 465 |
+
"logits/chosen": 0.1572265625,
|
| 466 |
+
"logits/rejected": 0.2158203125,
|
| 467 |
+
"logps/chosen": -109.0,
|
| 468 |
+
"logps/rejected": -123.0,
|
| 469 |
+
"loss": 0.6346,
|
| 470 |
+
"rewards/accuracies": 0.7083333134651184,
|
| 471 |
+
"rewards/chosen": -0.0223388671875,
|
| 472 |
+
"rewards/margins": 0.109375,
|
| 473 |
+
"rewards/rejected": -0.1318359375,
|
| 474 |
+
"step": 93
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 0.8205128205128205,
|
| 478 |
+
"grad_norm": 1.9027904272079468,
|
| 479 |
+
"learning_rate": 1.9310213884691736e-06,
|
| 480 |
+
"logits/chosen": 0.130859375,
|
| 481 |
+
"logits/rejected": 0.19140625,
|
| 482 |
+
"logps/chosen": -135.0,
|
| 483 |
+
"logps/rejected": -147.0,
|
| 484 |
+
"loss": 0.6463,
|
| 485 |
+
"rewards/accuracies": 0.5416666865348816,
|
| 486 |
+
"rewards/chosen": -0.03271484375,
|
| 487 |
+
"rewards/margins": 0.11474609375,
|
| 488 |
+
"rewards/rejected": -0.1474609375,
|
| 489 |
+
"step": 96
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.8461538461538461,
|
| 493 |
+
"grad_norm": 2.1986587047576904,
|
| 494 |
+
"learning_rate": 1.924689771729331e-06,
|
| 495 |
+
"logits/chosen": 0.224609375,
|
| 496 |
+
"logits/rejected": 0.1943359375,
|
| 497 |
+
"logps/chosen": -96.5,
|
| 498 |
+
"logps/rejected": -108.0,
|
| 499 |
+
"loss": 0.634,
|
| 500 |
+
"rewards/accuracies": 0.625,
|
| 501 |
+
"rewards/chosen": -0.0361328125,
|
| 502 |
+
"rewards/margins": 0.07275390625,
|
| 503 |
+
"rewards/rejected": -0.10888671875,
|
| 504 |
+
"step": 99
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 0.8717948717948718,
|
| 508 |
+
"grad_norm": 1.9795209169387817,
|
| 509 |
+
"learning_rate": 1.918091504794411e-06,
|
| 510 |
+
"logits/chosen": 0.251953125,
|
| 511 |
+
"logits/rejected": 0.2177734375,
|
| 512 |
+
"logps/chosen": -125.5,
|
| 513 |
+
"logps/rejected": -132.0,
|
| 514 |
+
"loss": 0.6447,
|
| 515 |
+
"rewards/accuracies": 0.75,
|
| 516 |
+
"rewards/chosen": -0.0240478515625,
|
| 517 |
+
"rewards/margins": 0.1845703125,
|
| 518 |
+
"rewards/rejected": -0.208984375,
|
| 519 |
+
"step": 102
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 0.8974358974358975,
|
| 523 |
+
"grad_norm": 2.002471923828125,
|
| 524 |
+
"learning_rate": 1.9112284903881357e-06,
|
| 525 |
+
"logits/chosen": 0.228515625,
|
| 526 |
+
"logits/rejected": 0.25,
|
| 527 |
+
"logps/chosen": -105.5,
|
| 528 |
+
"logps/rejected": -117.0,
|
| 529 |
+
"loss": 0.6333,
|
| 530 |
+
"rewards/accuracies": 0.7083333134651184,
|
| 531 |
+
"rewards/chosen": -0.0177001953125,
|
| 532 |
+
"rewards/margins": 0.126953125,
|
| 533 |
+
"rewards/rejected": -0.14453125,
|
| 534 |
+
"step": 105
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.9230769230769231,
|
| 538 |
+
"grad_norm": 1.976642370223999,
|
| 539 |
+
"learning_rate": 1.9041027075787146e-06,
|
| 540 |
+
"logits/chosen": 0.216796875,
|
| 541 |
+
"logits/rejected": 0.185546875,
|
| 542 |
+
"logps/chosen": -111.0,
|
| 543 |
+
"logps/rejected": -133.0,
|
| 544 |
+
"loss": 0.6283,
|
| 545 |
+
"rewards/accuracies": 0.625,
|
| 546 |
+
"rewards/chosen": -0.06884765625,
|
| 547 |
+
"rewards/margins": 0.1318359375,
|
| 548 |
+
"rewards/rejected": -0.201171875,
|
| 549 |
+
"step": 108
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.9487179487179487,
|
| 553 |
+
"grad_norm": 2.043111562728882,
|
| 554 |
+
"learning_rate": 1.8967162112081435e-06,
|
| 555 |
+
"logits/chosen": 0.1640625,
|
| 556 |
+
"logits/rejected": 0.1767578125,
|
| 557 |
+
"logps/chosen": -147.0,
|
| 558 |
+
"logps/rejected": -144.0,
|
| 559 |
+
"loss": 0.6125,
|
| 560 |
+
"rewards/accuracies": 0.75,
|
| 561 |
+
"rewards/chosen": -0.06494140625,
|
| 562 |
+
"rewards/margins": 0.2373046875,
|
| 563 |
+
"rewards/rejected": -0.302734375,
|
| 564 |
+
"step": 111
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.9743589743589743,
|
| 568 |
+
"grad_norm": 2.0380313396453857,
|
| 569 |
+
"learning_rate": 1.8890711312996568e-06,
|
| 570 |
+
"logits/chosen": 0.353515625,
|
| 571 |
+
"logits/rejected": 0.353515625,
|
| 572 |
+
"logps/chosen": -110.0,
|
| 573 |
+
"logps/rejected": -113.0,
|
| 574 |
+
"loss": 0.6395,
|
| 575 |
+
"rewards/accuracies": 0.4583333432674408,
|
| 576 |
+
"rewards/chosen": -0.091796875,
|
| 577 |
+
"rewards/margins": 0.07666015625,
|
| 578 |
+
"rewards/rejected": -0.16796875,
|
| 579 |
+
"step": 114
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 1.0,
|
| 583 |
+
"grad_norm": 2.0977935791015625,
|
| 584 |
+
"learning_rate": 1.881169672443498e-06,
|
| 585 |
+
"logits/chosen": 0.2275390625,
|
| 586 |
+
"logits/rejected": 0.2373046875,
|
| 587 |
+
"logps/chosen": -104.0,
|
| 588 |
+
"logps/rejected": -128.0,
|
| 589 |
+
"loss": 0.6076,
|
| 590 |
+
"rewards/accuracies": 0.7083333134651184,
|
| 591 |
+
"rewards/chosen": -0.078125,
|
| 592 |
+
"rewards/margins": 0.2041015625,
|
| 593 |
+
"rewards/rejected": -0.283203125,
|
| 594 |
+
"step": 117
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 1.0256410256410255,
|
| 598 |
+
"grad_norm": 2.0318846702575684,
|
| 599 |
+
"learning_rate": 1.873014113161188e-06,
|
| 600 |
+
"logits/chosen": 0.2060546875,
|
| 601 |
+
"logits/rejected": 0.1337890625,
|
| 602 |
+
"logps/chosen": -114.5,
|
| 603 |
+
"logps/rejected": -120.0,
|
| 604 |
+
"loss": 0.5905,
|
| 605 |
+
"rewards/accuracies": 0.7083333134651184,
|
| 606 |
+
"rewards/chosen": -0.1025390625,
|
| 607 |
+
"rewards/margins": 0.23828125,
|
| 608 |
+
"rewards/rejected": -0.341796875,
|
| 609 |
+
"step": 120
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 1.0512820512820513,
|
| 613 |
+
"grad_norm": 1.9920344352722168,
|
| 614 |
+
"learning_rate": 1.8646068052484753e-06,
|
| 615 |
+
"logits/chosen": 0.1767578125,
|
| 616 |
+
"logits/rejected": 0.1533203125,
|
| 617 |
+
"logps/chosen": -120.5,
|
| 618 |
+
"logps/rejected": -128.0,
|
| 619 |
+
"loss": 0.6056,
|
| 620 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 621 |
+
"rewards/chosen": -0.0194091796875,
|
| 622 |
+
"rewards/margins": 0.248046875,
|
| 623 |
+
"rewards/rejected": -0.267578125,
|
| 624 |
+
"step": 123
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 1.0769230769230769,
|
| 628 |
+
"grad_norm": 1.8763842582702637,
|
| 629 |
+
"learning_rate": 1.8559501730971543e-06,
|
| 630 |
+
"logits/chosen": 0.220703125,
|
| 631 |
+
"logits/rejected": 0.298828125,
|
| 632 |
+
"logps/chosen": -108.0,
|
| 633 |
+
"logps/rejected": -131.0,
|
| 634 |
+
"loss": 0.5767,
|
| 635 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 636 |
+
"rewards/chosen": -0.11181640625,
|
| 637 |
+
"rewards/margins": 0.361328125,
|
| 638 |
+
"rewards/rejected": -0.47265625,
|
| 639 |
+
"step": 126
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 1.1025641025641026,
|
| 643 |
+
"grad_norm": 1.9118515253067017,
|
| 644 |
+
"learning_rate": 1.8470467129959508e-06,
|
| 645 |
+
"logits/chosen": 0.2431640625,
|
| 646 |
+
"logits/rejected": 0.236328125,
|
| 647 |
+
"logps/chosen": -98.5,
|
| 648 |
+
"logps/rejected": -120.5,
|
| 649 |
+
"loss": 0.578,
|
| 650 |
+
"rewards/accuracies": 0.875,
|
| 651 |
+
"rewards/chosen": -0.06982421875,
|
| 652 |
+
"rewards/margins": 0.404296875,
|
| 653 |
+
"rewards/rejected": -0.47265625,
|
| 654 |
+
"step": 129
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.1282051282051282,
|
| 658 |
+
"grad_norm": 2.0091183185577393,
|
| 659 |
+
"learning_rate": 1.8378989924106735e-06,
|
| 660 |
+
"logits/chosen": 0.1865234375,
|
| 661 |
+
"logits/rejected": 0.25,
|
| 662 |
+
"logps/chosen": -111.5,
|
| 663 |
+
"logps/rejected": -124.0,
|
| 664 |
+
"loss": 0.5826,
|
| 665 |
+
"rewards/accuracies": 0.7083333134651184,
|
| 666 |
+
"rewards/chosen": -0.10302734375,
|
| 667 |
+
"rewards/margins": 0.28515625,
|
| 668 |
+
"rewards/rejected": -0.388671875,
|
| 669 |
+
"step": 132
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 1.1538461538461537,
|
| 673 |
+
"grad_norm": 2.098787307739258,
|
| 674 |
+
"learning_rate": 1.828509649243842e-06,
|
| 675 |
+
"logits/chosen": 0.09521484375,
|
| 676 |
+
"logits/rejected": 0.091796875,
|
| 677 |
+
"logps/chosen": -127.0,
|
| 678 |
+
"logps/rejected": -135.0,
|
| 679 |
+
"loss": 0.5577,
|
| 680 |
+
"rewards/accuracies": 0.7083333134651184,
|
| 681 |
+
"rewards/chosen": -0.0986328125,
|
| 682 |
+
"rewards/margins": 0.255859375,
|
| 683 |
+
"rewards/rejected": -0.353515625,
|
| 684 |
+
"step": 135
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 1.1794871794871795,
|
| 688 |
+
"grad_norm": 1.9569436311721802,
|
| 689 |
+
"learning_rate": 1.8188813910740017e-06,
|
| 690 |
+
"logits/chosen": 0.251953125,
|
| 691 |
+
"logits/rejected": 0.1982421875,
|
| 692 |
+
"logps/chosen": -111.0,
|
| 693 |
+
"logps/rejected": -140.0,
|
| 694 |
+
"loss": 0.5628,
|
| 695 |
+
"rewards/accuracies": 0.875,
|
| 696 |
+
"rewards/chosen": -0.1591796875,
|
| 697 |
+
"rewards/margins": 0.400390625,
|
| 698 |
+
"rewards/rejected": -0.55859375,
|
| 699 |
+
"step": 138
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 1.205128205128205,
|
| 703 |
+
"grad_norm": 2.0690457820892334,
|
| 704 |
+
"learning_rate": 1.8090169943749474e-06,
|
| 705 |
+
"logits/chosen": 0.2041015625,
|
| 706 |
+
"logits/rejected": 0.1884765625,
|
| 707 |
+
"logps/chosen": -110.5,
|
| 708 |
+
"logps/rejected": -123.0,
|
| 709 |
+
"loss": 0.5893,
|
| 710 |
+
"rewards/accuracies": 0.5833333134651184,
|
| 711 |
+
"rewards/chosen": -0.298828125,
|
| 712 |
+
"rewards/margins": 0.1181640625,
|
| 713 |
+
"rewards/rejected": -0.416015625,
|
| 714 |
+
"step": 141
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 1.2307692307692308,
|
| 718 |
+
"grad_norm": 2.074464797973633,
|
| 719 |
+
"learning_rate": 1.7989193037150782e-06,
|
| 720 |
+
"logits/chosen": 0.26953125,
|
| 721 |
+
"logits/rejected": 0.265625,
|
| 722 |
+
"logps/chosen": -110.0,
|
| 723 |
+
"logps/rejected": -128.0,
|
| 724 |
+
"loss": 0.5638,
|
| 725 |
+
"rewards/accuracies": 0.875,
|
| 726 |
+
"rewards/chosen": -0.2412109375,
|
| 727 |
+
"rewards/margins": 0.314453125,
|
| 728 |
+
"rewards/rejected": -0.5546875,
|
| 729 |
+
"step": 144
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 1.2564102564102564,
|
| 733 |
+
"grad_norm": 2.286728858947754,
|
| 734 |
+
"learning_rate": 1.788591230937119e-06,
|
| 735 |
+
"logits/chosen": 0.09619140625,
|
| 736 |
+
"logits/rejected": 0.06689453125,
|
| 737 |
+
"logps/chosen": -113.0,
|
| 738 |
+
"logps/rejected": -136.0,
|
| 739 |
+
"loss": 0.5804,
|
| 740 |
+
"rewards/accuracies": 0.75,
|
| 741 |
+
"rewards/chosen": -0.26171875,
|
| 742 |
+
"rewards/margins": 0.259765625,
|
| 743 |
+
"rewards/rejected": -0.5234375,
|
| 744 |
+
"step": 147
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 1.282051282051282,
|
| 748 |
+
"grad_norm": 2.0626838207244873,
|
| 749 |
+
"learning_rate": 1.7780357543184393e-06,
|
| 750 |
+
"logits/chosen": 0.1767578125,
|
| 751 |
+
"logits/rejected": 0.185546875,
|
| 752 |
+
"logps/chosen": -121.0,
|
| 753 |
+
"logps/rejected": -115.5,
|
| 754 |
+
"loss": 0.5309,
|
| 755 |
+
"rewards/accuracies": 0.75,
|
| 756 |
+
"rewards/chosen": -0.2236328125,
|
| 757 |
+
"rewards/margins": 0.314453125,
|
| 758 |
+
"rewards/rejected": -0.5390625,
|
| 759 |
+
"step": 150
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.3076923076923077,
|
| 763 |
+
"grad_norm": 2.1246135234832764,
|
| 764 |
+
"learning_rate": 1.7672559177122163e-06,
|
| 765 |
+
"logits/chosen": 0.19140625,
|
| 766 |
+
"logits/rejected": 0.1806640625,
|
| 767 |
+
"logps/chosen": -118.0,
|
| 768 |
+
"logps/rejected": -148.0,
|
| 769 |
+
"loss": 0.5572,
|
| 770 |
+
"rewards/accuracies": 0.75,
|
| 771 |
+
"rewards/chosen": -0.31640625,
|
| 772 |
+
"rewards/margins": 0.427734375,
|
| 773 |
+
"rewards/rejected": -0.7421875,
|
| 774 |
+
"step": 153
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 1.3333333333333333,
|
| 778 |
+
"grad_norm": 1.9632675647735596,
|
| 779 |
+
"learning_rate": 1.7562548296696873e-06,
|
| 780 |
+
"logits/chosen": 0.2138671875,
|
| 781 |
+
"logits/rejected": 0.220703125,
|
| 782 |
+
"logps/chosen": -103.0,
|
| 783 |
+
"logps/rejected": -125.5,
|
| 784 |
+
"loss": 0.5375,
|
| 785 |
+
"rewards/accuracies": 0.7083333134651184,
|
| 786 |
+
"rewards/chosen": -0.2255859375,
|
| 787 |
+
"rewards/margins": 0.353515625,
|
| 788 |
+
"rewards/rejected": -0.578125,
|
| 789 |
+
"step": 156
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 1.358974358974359,
|
| 793 |
+
"grad_norm": 1.9024431705474854,
|
| 794 |
+
"learning_rate": 1.745035662543745e-06,
|
| 795 |
+
"logits/chosen": 0.1787109375,
|
| 796 |
+
"logits/rejected": 0.1591796875,
|
| 797 |
+
"logps/chosen": -116.5,
|
| 798 |
+
"logps/rejected": -146.0,
|
| 799 |
+
"loss": 0.5115,
|
| 800 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 801 |
+
"rewards/chosen": -0.220703125,
|
| 802 |
+
"rewards/margins": 0.58203125,
|
| 803 |
+
"rewards/rejected": -0.8046875,
|
| 804 |
+
"step": 159
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"epoch": 1.3846153846153846,
|
| 808 |
+
"grad_norm": 2.3646910190582275,
|
| 809 |
+
"learning_rate": 1.7336016515741365e-06,
|
| 810 |
+
"logits/chosen": 0.189453125,
|
| 811 |
+
"logits/rejected": 0.1572265625,
|
| 812 |
+
"logps/chosen": -132.0,
|
| 813 |
+
"logps/rejected": -156.0,
|
| 814 |
+
"loss": 0.54,
|
| 815 |
+
"rewards/accuracies": 0.875,
|
| 816 |
+
"rewards/chosen": -0.2734375,
|
| 817 |
+
"rewards/margins": 0.64453125,
|
| 818 |
+
"rewards/rejected": -0.91796875,
|
| 819 |
+
"step": 162
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 1.4102564102564101,
|
| 823 |
+
"grad_norm": 2.328059434890747,
|
| 824 |
+
"learning_rate": 1.7219560939545242e-06,
|
| 825 |
+
"logits/chosen": 0.232421875,
|
| 826 |
+
"logits/rejected": 0.2294921875,
|
| 827 |
+
"logps/chosen": -96.0,
|
| 828 |
+
"logps/rejected": -109.0,
|
| 829 |
+
"loss": 0.5638,
|
| 830 |
+
"rewards/accuracies": 0.75,
|
| 831 |
+
"rewards/chosen": -0.298828125,
|
| 832 |
+
"rewards/margins": 0.41015625,
|
| 833 |
+
"rewards/rejected": -0.7109375,
|
| 834 |
+
"step": 165
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 1.435897435897436,
|
| 838 |
+
"grad_norm": 2.036503791809082,
|
| 839 |
+
"learning_rate": 1.7101023478816856e-06,
|
| 840 |
+
"logits/chosen": 0.1669921875,
|
| 841 |
+
"logits/rejected": 0.2060546875,
|
| 842 |
+
"logps/chosen": -132.0,
|
| 843 |
+
"logps/rejected": -131.0,
|
| 844 |
+
"loss": 0.5173,
|
| 845 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 846 |
+
"rewards/chosen": -0.4140625,
|
| 847 |
+
"rewards/margins": 0.412109375,
|
| 848 |
+
"rewards/rejected": -0.82421875,
|
| 849 |
+
"step": 168
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 1.4615384615384617,
|
| 853 |
+
"grad_norm": 2.166957378387451,
|
| 854 |
+
"learning_rate": 1.6980438315871177e-06,
|
| 855 |
+
"logits/chosen": 0.1669921875,
|
| 856 |
+
"logits/rejected": 0.2021484375,
|
| 857 |
+
"logps/chosen": -113.0,
|
| 858 |
+
"logps/rejected": -119.5,
|
| 859 |
+
"loss": 0.5193,
|
| 860 |
+
"rewards/accuracies": 0.875,
|
| 861 |
+
"rewards/chosen": -0.26953125,
|
| 862 |
+
"rewards/margins": 0.51953125,
|
| 863 |
+
"rewards/rejected": -0.7890625,
|
| 864 |
+
"step": 171
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.4871794871794872,
|
| 868 |
+
"grad_norm": 2.383507490158081,
|
| 869 |
+
"learning_rate": 1.6857840223513313e-06,
|
| 870 |
+
"logits/chosen": 0.2060546875,
|
| 871 |
+
"logits/rejected": 0.19921875,
|
| 872 |
+
"logps/chosen": -120.0,
|
| 873 |
+
"logps/rejected": -124.0,
|
| 874 |
+
"loss": 0.5446,
|
| 875 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 876 |
+
"rewards/chosen": -0.361328125,
|
| 877 |
+
"rewards/margins": 0.431640625,
|
| 878 |
+
"rewards/rejected": -0.79296875,
|
| 879 |
+
"step": 174
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 1.5128205128205128,
|
| 883 |
+
"grad_norm": 2.0628299713134766,
|
| 884 |
+
"learning_rate": 1.6733264555011194e-06,
|
| 885 |
+
"logits/chosen": 0.244140625,
|
| 886 |
+
"logits/rejected": 0.20703125,
|
| 887 |
+
"logps/chosen": -137.0,
|
| 888 |
+
"logps/rejected": -154.0,
|
| 889 |
+
"loss": 0.5155,
|
| 890 |
+
"rewards/accuracies": 0.875,
|
| 891 |
+
"rewards/chosen": -0.57421875,
|
| 892 |
+
"rewards/margins": 0.73828125,
|
| 893 |
+
"rewards/rejected": -1.3125,
|
| 894 |
+
"step": 177
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 1.5384615384615383,
|
| 898 |
+
"grad_norm": 2.3130903244018555,
|
| 899 |
+
"learning_rate": 1.6606747233900813e-06,
|
| 900 |
+
"logits/chosen": 0.2431640625,
|
| 901 |
+
"logits/rejected": 0.2451171875,
|
| 902 |
+
"logps/chosen": -96.0,
|
| 903 |
+
"logps/rejected": -111.5,
|
| 904 |
+
"loss": 0.5542,
|
| 905 |
+
"rewards/accuracies": 0.875,
|
| 906 |
+
"rewards/chosen": -0.2294921875,
|
| 907 |
+
"rewards/margins": 0.7109375,
|
| 908 |
+
"rewards/rejected": -0.9375,
|
| 909 |
+
"step": 180
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 1.564102564102564,
|
| 913 |
+
"grad_norm": 2.157144784927368,
|
| 914 |
+
"learning_rate": 1.64783247436271e-06,
|
| 915 |
+
"logits/chosen": 0.298828125,
|
| 916 |
+
"logits/rejected": 0.314453125,
|
| 917 |
+
"logps/chosen": -124.0,
|
| 918 |
+
"logps/rejected": -143.0,
|
| 919 |
+
"loss": 0.5016,
|
| 920 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 921 |
+
"rewards/chosen": -0.408203125,
|
| 922 |
+
"rewards/margins": 0.6015625,
|
| 923 |
+
"rewards/rejected": -1.015625,
|
| 924 |
+
"step": 183
|
| 925 |
+
},
|
| 926 |
+
{
|
| 927 |
+
"epoch": 1.5897435897435899,
|
| 928 |
+
"grad_norm": 2.006909132003784,
|
| 929 |
+
"learning_rate": 1.6348034117023256e-06,
|
| 930 |
+
"logits/chosen": 0.140625,
|
| 931 |
+
"logits/rejected": 0.1650390625,
|
| 932 |
+
"logps/chosen": -109.0,
|
| 933 |
+
"logps/rejected": -137.0,
|
| 934 |
+
"loss": 0.5129,
|
| 935 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 936 |
+
"rewards/chosen": -0.3984375,
|
| 937 |
+
"rewards/margins": 0.703125,
|
| 938 |
+
"rewards/rejected": -1.1015625,
|
| 939 |
+
"step": 186
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 1.6153846153846154,
|
| 943 |
+
"grad_norm": 2.5358331203460693,
|
| 944 |
+
"learning_rate": 1.6215912925631721e-06,
|
| 945 |
+
"logits/chosen": 0.1962890625,
|
| 946 |
+
"logits/rejected": 0.21484375,
|
| 947 |
+
"logps/chosen": -114.0,
|
| 948 |
+
"logps/rejected": -134.0,
|
| 949 |
+
"loss": 0.5205,
|
| 950 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 951 |
+
"rewards/chosen": -0.478515625,
|
| 952 |
+
"rewards/margins": 0.74609375,
|
| 953 |
+
"rewards/rejected": -1.2265625,
|
| 954 |
+
"step": 189
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 1.641025641025641,
|
| 958 |
+
"grad_norm": 2.1718602180480957,
|
| 959 |
+
"learning_rate": 1.6081999268869763e-06,
|
| 960 |
+
"logits/chosen": 0.294921875,
|
| 961 |
+
"logits/rejected": 0.3203125,
|
| 962 |
+
"logps/chosen": -109.0,
|
| 963 |
+
"logps/rejected": -130.0,
|
| 964 |
+
"loss": 0.4935,
|
| 965 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 966 |
+
"rewards/chosen": -0.5625,
|
| 967 |
+
"rewards/margins": 0.50390625,
|
| 968 |
+
"rewards/rejected": -1.0703125,
|
| 969 |
+
"step": 192
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 1.6666666666666665,
|
| 973 |
+
"grad_norm": 2.2296667098999023,
|
| 974 |
+
"learning_rate": 1.5946331763042866e-06,
|
| 975 |
+
"logits/chosen": 0.1357421875,
|
| 976 |
+
"logits/rejected": 0.2294921875,
|
| 977 |
+
"logps/chosen": -122.0,
|
| 978 |
+
"logps/rejected": -114.5,
|
| 979 |
+
"loss": 0.5057,
|
| 980 |
+
"rewards/accuracies": 0.75,
|
| 981 |
+
"rewards/chosen": -0.53515625,
|
| 982 |
+
"rewards/margins": 0.50390625,
|
| 983 |
+
"rewards/rejected": -1.0390625,
|
| 984 |
+
"step": 195
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 1.6923076923076923,
|
| 988 |
+
"grad_norm": 2.204519748687744,
|
| 989 |
+
"learning_rate": 1.580894953020904e-06,
|
| 990 |
+
"logits/chosen": 0.1435546875,
|
| 991 |
+
"logits/rejected": 0.150390625,
|
| 992 |
+
"logps/chosen": -113.5,
|
| 993 |
+
"logps/rejected": -135.0,
|
| 994 |
+
"loss": 0.5566,
|
| 995 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 996 |
+
"rewards/chosen": -0.421875,
|
| 997 |
+
"rewards/margins": 0.76171875,
|
| 998 |
+
"rewards/rejected": -1.1875,
|
| 999 |
+
"step": 198
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 1.717948717948718,
|
| 1003 |
+
"grad_norm": 2.3120129108428955,
|
| 1004 |
+
"learning_rate": 1.5669892186897316e-06,
|
| 1005 |
+
"logits/chosen": 0.1572265625,
|
| 1006 |
+
"logits/rejected": 0.208984375,
|
| 1007 |
+
"logps/chosen": -124.0,
|
| 1008 |
+
"logps/rejected": -141.0,
|
| 1009 |
+
"loss": 0.4966,
|
| 1010 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 1011 |
+
"rewards/chosen": -0.53515625,
|
| 1012 |
+
"rewards/margins": 1.0,
|
| 1013 |
+
"rewards/rejected": -1.5390625,
|
| 1014 |
+
"step": 201
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 1.7435897435897436,
|
| 1018 |
+
"grad_norm": 2.3819029331207275,
|
| 1019 |
+
"learning_rate": 1.5529199832683633e-06,
|
| 1020 |
+
"logits/chosen": 0.171875,
|
| 1021 |
+
"logits/rejected": 0.2236328125,
|
| 1022 |
+
"logps/chosen": -128.0,
|
| 1023 |
+
"logps/rejected": -150.0,
|
| 1024 |
+
"loss": 0.4868,
|
| 1025 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 1026 |
+
"rewards/chosen": -0.64453125,
|
| 1027 |
+
"rewards/margins": 0.7734375,
|
| 1028 |
+
"rewards/rejected": -1.421875,
|
| 1029 |
+
"step": 204
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 1.7692307692307692,
|
| 1033 |
+
"grad_norm": 2.1900620460510254,
|
| 1034 |
+
"learning_rate": 1.5386913038627438e-06,
|
| 1035 |
+
"logits/chosen": 0.1767578125,
|
| 1036 |
+
"logits/rejected": 0.1796875,
|
| 1037 |
+
"logps/chosen": -152.0,
|
| 1038 |
+
"logps/rejected": -139.0,
|
| 1039 |
+
"loss": 0.5002,
|
| 1040 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1041 |
+
"rewards/chosen": -0.875,
|
| 1042 |
+
"rewards/margins": 0.69921875,
|
| 1043 |
+
"rewards/rejected": -1.5703125,
|
| 1044 |
+
"step": 207
|
| 1045 |
+
},
|
| 1046 |
+
{
|
| 1047 |
+
"epoch": 1.7948717948717947,
|
| 1048 |
+
"grad_norm": 2.0419483184814453,
|
| 1049 |
+
"learning_rate": 1.5243072835572316e-06,
|
| 1050 |
+
"logits/chosen": 0.158203125,
|
| 1051 |
+
"logits/rejected": 0.1796875,
|
| 1052 |
+
"logps/chosen": -128.0,
|
| 1053 |
+
"logps/rejected": -138.0,
|
| 1054 |
+
"loss": 0.4862,
|
| 1055 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1056 |
+
"rewards/chosen": -0.69140625,
|
| 1057 |
+
"rewards/margins": 0.70703125,
|
| 1058 |
+
"rewards/rejected": -1.3984375,
|
| 1059 |
+
"step": 210
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 1.8205128205128205,
|
| 1063 |
+
"grad_norm": 2.071697473526001,
|
| 1064 |
+
"learning_rate": 1.5097720702314054e-06,
|
| 1065 |
+
"logits/chosen": 0.11083984375,
|
| 1066 |
+
"logits/rejected": 0.16015625,
|
| 1067 |
+
"logps/chosen": -129.0,
|
| 1068 |
+
"logps/rejected": -157.0,
|
| 1069 |
+
"loss": 0.4742,
|
| 1070 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1071 |
+
"rewards/chosen": -0.66015625,
|
| 1072 |
+
"rewards/margins": 1.140625,
|
| 1073 |
+
"rewards/rejected": -1.8046875,
|
| 1074 |
+
"step": 213
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 1.8461538461538463,
|
| 1078 |
+
"grad_norm": 2.228717088699341,
|
| 1079 |
+
"learning_rate": 1.4950898553639504e-06,
|
| 1080 |
+
"logits/chosen": 0.06396484375,
|
| 1081 |
+
"logits/rejected": 0.173828125,
|
| 1082 |
+
"logps/chosen": -137.0,
|
| 1083 |
+
"logps/rejected": -140.0,
|
| 1084 |
+
"loss": 0.4845,
|
| 1085 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1086 |
+
"rewards/chosen": -0.69140625,
|
| 1087 |
+
"rewards/margins": 0.8125,
|
| 1088 |
+
"rewards/rejected": -1.5078125,
|
| 1089 |
+
"step": 216
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 1.8717948717948718,
|
| 1093 |
+
"grad_norm": 2.5235626697540283,
|
| 1094 |
+
"learning_rate": 1.4802648728239743e-06,
|
| 1095 |
+
"logits/chosen": 0.2421875,
|
| 1096 |
+
"logits/rejected": 0.197265625,
|
| 1097 |
+
"logps/chosen": -98.0,
|
| 1098 |
+
"logps/rejected": -112.5,
|
| 1099 |
+
"loss": 0.5188,
|
| 1100 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1101 |
+
"rewards/chosen": -0.63671875,
|
| 1102 |
+
"rewards/margins": 0.369140625,
|
| 1103 |
+
"rewards/rejected": -1.0,
|
| 1104 |
+
"step": 219
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 1.8974358974358974,
|
| 1108 |
+
"grad_norm": 2.2643330097198486,
|
| 1109 |
+
"learning_rate": 1.4653013976500974e-06,
|
| 1110 |
+
"logits/chosen": 0.203125,
|
| 1111 |
+
"logits/rejected": 0.2080078125,
|
| 1112 |
+
"logps/chosen": -143.0,
|
| 1113 |
+
"logps/rejected": -159.0,
|
| 1114 |
+
"loss": 0.4687,
|
| 1115 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1116 |
+
"rewards/chosen": -0.875,
|
| 1117 |
+
"rewards/margins": 0.8984375,
|
| 1118 |
+
"rewards/rejected": -1.7734375,
|
| 1119 |
+
"step": 222
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 1.9230769230769231,
|
| 1123 |
+
"grad_norm": 2.175093650817871,
|
| 1124 |
+
"learning_rate": 1.4502037448176732e-06,
|
| 1125 |
+
"logits/chosen": 0.138671875,
|
| 1126 |
+
"logits/rejected": 0.1689453125,
|
| 1127 |
+
"logps/chosen": -114.5,
|
| 1128 |
+
"logps/rejected": -138.0,
|
| 1129 |
+
"loss": 0.5153,
|
| 1130 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1131 |
+
"rewards/chosen": -0.6171875,
|
| 1132 |
+
"rewards/margins": 0.8671875,
|
| 1133 |
+
"rewards/rejected": -1.484375,
|
| 1134 |
+
"step": 225
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 1.9487179487179487,
|
| 1138 |
+
"grad_norm": 2.8286232948303223,
|
| 1139 |
+
"learning_rate": 1.4349762679944895e-06,
|
| 1140 |
+
"logits/chosen": 0.15234375,
|
| 1141 |
+
"logits/rejected": 0.154296875,
|
| 1142 |
+
"logps/chosen": -113.5,
|
| 1143 |
+
"logps/rejected": -131.0,
|
| 1144 |
+
"loss": 0.4437,
|
| 1145 |
+
"rewards/accuracies": 0.75,
|
| 1146 |
+
"rewards/chosen": -0.74609375,
|
| 1147 |
+
"rewards/margins": 0.78515625,
|
| 1148 |
+
"rewards/rejected": -1.53125,
|
| 1149 |
+
"step": 228
|
| 1150 |
+
},
|
| 1151 |
+
{
|
| 1152 |
+
"epoch": 1.9743589743589745,
|
| 1153 |
+
"grad_norm": 2.7549867630004883,
|
| 1154 |
+
"learning_rate": 1.419623358285314e-06,
|
| 1155 |
+
"logits/chosen": 0.142578125,
|
| 1156 |
+
"logits/rejected": 0.11669921875,
|
| 1157 |
+
"logps/chosen": -106.0,
|
| 1158 |
+
"logps/rejected": -130.0,
|
| 1159 |
+
"loss": 0.4782,
|
| 1160 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 1161 |
+
"rewards/chosen": -0.52734375,
|
| 1162 |
+
"rewards/margins": 0.796875,
|
| 1163 |
+
"rewards/rejected": -1.328125,
|
| 1164 |
+
"step": 231
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 2.0,
|
| 1168 |
+
"grad_norm": 1.993396520614624,
|
| 1169 |
+
"learning_rate": 1.404149442965644e-06,
|
| 1170 |
+
"logits/chosen": 0.234375,
|
| 1171 |
+
"logits/rejected": 0.1884765625,
|
| 1172 |
+
"logps/chosen": -107.0,
|
| 1173 |
+
"logps/rejected": -129.0,
|
| 1174 |
+
"loss": 0.4322,
|
| 1175 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1176 |
+
"rewards/chosen": -0.80078125,
|
| 1177 |
+
"rewards/margins": 0.89453125,
|
| 1178 |
+
"rewards/rejected": -1.6953125,
|
| 1179 |
+
"step": 234
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 2.0256410256410255,
|
| 1183 |
+
"grad_norm": 2.6139297485351562,
|
| 1184 |
+
"learning_rate": 1.3885589842050252e-06,
|
| 1185 |
+
"logits/chosen": 0.314453125,
|
| 1186 |
+
"logits/rejected": 0.267578125,
|
| 1187 |
+
"logps/chosen": -94.5,
|
| 1188 |
+
"logps/rejected": -105.0,
|
| 1189 |
+
"loss": 0.479,
|
| 1190 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1191 |
+
"rewards/chosen": -0.7265625,
|
| 1192 |
+
"rewards/margins": 0.71875,
|
| 1193 |
+
"rewards/rejected": -1.4453125,
|
| 1194 |
+
"step": 237
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 2.051282051282051,
|
| 1198 |
+
"grad_norm": 1.9830079078674316,
|
| 1199 |
+
"learning_rate": 1.3728564777803086e-06,
|
| 1200 |
+
"logits/chosen": 0.126953125,
|
| 1201 |
+
"logits/rejected": 0.1376953125,
|
| 1202 |
+
"logps/chosen": -111.5,
|
| 1203 |
+
"logps/rejected": -123.5,
|
| 1204 |
+
"loss": 0.4288,
|
| 1205 |
+
"rewards/accuracies": 0.7083333134651184,
|
| 1206 |
+
"rewards/chosen": -0.76953125,
|
| 1207 |
+
"rewards/margins": 0.7265625,
|
| 1208 |
+
"rewards/rejected": -1.5,
|
| 1209 |
+
"step": 240
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 2.076923076923077,
|
| 1213 |
+
"grad_norm": 2.3474740982055664,
|
| 1214 |
+
"learning_rate": 1.3570464517792152e-06,
|
| 1215 |
+
"logits/chosen": 0.1708984375,
|
| 1216 |
+
"logits/rejected": 0.1572265625,
|
| 1217 |
+
"logps/chosen": -106.0,
|
| 1218 |
+
"logps/rejected": -145.0,
|
| 1219 |
+
"loss": 0.4326,
|
| 1220 |
+
"rewards/accuracies": 1.0,
|
| 1221 |
+
"rewards/chosen": -0.73046875,
|
| 1222 |
+
"rewards/margins": 1.4921875,
|
| 1223 |
+
"rewards/rejected": -2.21875,
|
| 1224 |
+
"step": 243
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 2.1025641025641026,
|
| 1228 |
+
"grad_norm": 2.3264522552490234,
|
| 1229 |
+
"learning_rate": 1.3411334652945848e-06,
|
| 1230 |
+
"logits/chosen": 0.236328125,
|
| 1231 |
+
"logits/rejected": 0.265625,
|
| 1232 |
+
"logps/chosen": -115.0,
|
| 1233 |
+
"logps/rejected": -131.0,
|
| 1234 |
+
"loss": 0.4788,
|
| 1235 |
+
"rewards/accuracies": 0.75,
|
| 1236 |
+
"rewards/chosen": -1.03125,
|
| 1237 |
+
"rewards/margins": 0.5234375,
|
| 1238 |
+
"rewards/rejected": -1.546875,
|
| 1239 |
+
"step": 246
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 2.128205128205128,
|
| 1243 |
+
"grad_norm": 2.1243481636047363,
|
| 1244 |
+
"learning_rate": 1.3251221071096834e-06,
|
| 1245 |
+
"logits/chosen": 0.2255859375,
|
| 1246 |
+
"logits/rejected": 0.1943359375,
|
| 1247 |
+
"logps/chosen": -117.0,
|
| 1248 |
+
"logps/rejected": -120.0,
|
| 1249 |
+
"loss": 0.4144,
|
| 1250 |
+
"rewards/accuracies": 0.875,
|
| 1251 |
+
"rewards/chosen": -0.83984375,
|
| 1252 |
+
"rewards/margins": 0.65234375,
|
| 1253 |
+
"rewards/rejected": -1.4921875,
|
| 1254 |
+
"step": 249
|
| 1255 |
+
},
|
| 1256 |
+
{
|
| 1257 |
+
"epoch": 2.1538461538461537,
|
| 1258 |
+
"grad_norm": 2.6467950344085693,
|
| 1259 |
+
"learning_rate": 1.3090169943749473e-06,
|
| 1260 |
+
"logits/chosen": 0.22265625,
|
| 1261 |
+
"logits/rejected": 0.25390625,
|
| 1262 |
+
"logps/chosen": -117.5,
|
| 1263 |
+
"logps/rejected": -138.0,
|
| 1264 |
+
"loss": 0.4197,
|
| 1265 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 1266 |
+
"rewards/chosen": -0.81640625,
|
| 1267 |
+
"rewards/margins": 0.9765625,
|
| 1268 |
+
"rewards/rejected": -1.7890625,
|
| 1269 |
+
"step": 252
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 2.1794871794871793,
|
| 1273 |
+
"grad_norm": 2.3144333362579346,
|
| 1274 |
+
"learning_rate": 1.2928227712765502e-06,
|
| 1275 |
+
"logits/chosen": 0.1650390625,
|
| 1276 |
+
"logits/rejected": 0.1767578125,
|
| 1277 |
+
"logps/chosen": -120.5,
|
| 1278 |
+
"logps/rejected": -131.0,
|
| 1279 |
+
"loss": 0.4023,
|
| 1280 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1281 |
+
"rewards/chosen": -0.96484375,
|
| 1282 |
+
"rewards/margins": 0.93359375,
|
| 1283 |
+
"rewards/rejected": -1.8984375,
|
| 1284 |
+
"step": 255
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 2.2051282051282053,
|
| 1288 |
+
"grad_norm": 2.361914873123169,
|
| 1289 |
+
"learning_rate": 1.276544107697171e-06,
|
| 1290 |
+
"logits/chosen": 0.236328125,
|
| 1291 |
+
"logits/rejected": 0.197265625,
|
| 1292 |
+
"logps/chosen": -138.0,
|
| 1293 |
+
"logps/rejected": -149.0,
|
| 1294 |
+
"loss": 0.4806,
|
| 1295 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1296 |
+
"rewards/chosen": -1.1171875,
|
| 1297 |
+
"rewards/margins": 0.92578125,
|
| 1298 |
+
"rewards/rejected": -2.046875,
|
| 1299 |
+
"step": 258
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 2.230769230769231,
|
| 1303 |
+
"grad_norm": 2.1916277408599854,
|
| 1304 |
+
"learning_rate": 1.260185697869353e-06,
|
| 1305 |
+
"logits/chosen": 0.173828125,
|
| 1306 |
+
"logits/rejected": 0.2060546875,
|
| 1307 |
+
"logps/chosen": -125.0,
|
| 1308 |
+
"logps/rejected": -133.0,
|
| 1309 |
+
"loss": 0.4517,
|
| 1310 |
+
"rewards/accuracies": 0.875,
|
| 1311 |
+
"rewards/chosen": -0.84375,
|
| 1312 |
+
"rewards/margins": 1.0859375,
|
| 1313 |
+
"rewards/rejected": -1.9296875,
|
| 1314 |
+
"step": 261
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 2.2564102564102564,
|
| 1318 |
+
"grad_norm": 2.8083648681640625,
|
| 1319 |
+
"learning_rate": 1.2437522590218416e-06,
|
| 1320 |
+
"logits/chosen": 0.20703125,
|
| 1321 |
+
"logits/rejected": 0.2021484375,
|
| 1322 |
+
"logps/chosen": -109.0,
|
| 1323 |
+
"logps/rejected": -131.0,
|
| 1324 |
+
"loss": 0.4198,
|
| 1325 |
+
"rewards/accuracies": 0.875,
|
| 1326 |
+
"rewards/chosen": -0.98046875,
|
| 1327 |
+
"rewards/margins": 1.03125,
|
| 1328 |
+
"rewards/rejected": -2.015625,
|
| 1329 |
+
"step": 264
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 2.282051282051282,
|
| 1333 |
+
"grad_norm": 3.0645532608032227,
|
| 1334 |
+
"learning_rate": 1.22724853001929e-06,
|
| 1335 |
+
"logits/chosen": 0.1259765625,
|
| 1336 |
+
"logits/rejected": 0.1630859375,
|
| 1337 |
+
"logps/chosen": -113.0,
|
| 1338 |
+
"logps/rejected": -129.0,
|
| 1339 |
+
"loss": 0.4473,
|
| 1340 |
+
"rewards/accuracies": 0.875,
|
| 1341 |
+
"rewards/chosen": -0.84765625,
|
| 1342 |
+
"rewards/margins": 1.0703125,
|
| 1343 |
+
"rewards/rejected": -1.921875,
|
| 1344 |
+
"step": 267
|
| 1345 |
+
},
|
| 1346 |
+
{
|
| 1347 |
+
"epoch": 2.3076923076923075,
|
| 1348 |
+
"grad_norm": 2.734609842300415,
|
| 1349 |
+
"learning_rate": 1.2106792699957262e-06,
|
| 1350 |
+
"logits/chosen": 0.1328125,
|
| 1351 |
+
"logits/rejected": 0.1103515625,
|
| 1352 |
+
"logps/chosen": -137.0,
|
| 1353 |
+
"logps/rejected": -157.0,
|
| 1354 |
+
"loss": 0.4295,
|
| 1355 |
+
"rewards/accuracies": 0.75,
|
| 1356 |
+
"rewards/chosen": -1.25,
|
| 1357 |
+
"rewards/margins": 1.1171875,
|
| 1358 |
+
"rewards/rejected": -2.359375,
|
| 1359 |
+
"step": 270
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"epoch": 2.3333333333333335,
|
| 1363 |
+
"grad_norm": 3.1695902347564697,
|
| 1364 |
+
"learning_rate": 1.1940492569821752e-06,
|
| 1365 |
+
"logits/chosen": 0.171875,
|
| 1366 |
+
"logits/rejected": 0.2431640625,
|
| 1367 |
+
"logps/chosen": -129.0,
|
| 1368 |
+
"logps/rejected": -162.0,
|
| 1369 |
+
"loss": 0.4173,
|
| 1370 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 1371 |
+
"rewards/chosen": -1.15625,
|
| 1372 |
+
"rewards/margins": 1.453125,
|
| 1373 |
+
"rewards/rejected": -2.625,
|
| 1374 |
+
"step": 273
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 2.358974358974359,
|
| 1378 |
+
"grad_norm": 2.7723398208618164,
|
| 1379 |
+
"learning_rate": 1.1773632865288308e-06,
|
| 1380 |
+
"logits/chosen": 0.1962890625,
|
| 1381 |
+
"logits/rejected": 0.130859375,
|
| 1382 |
+
"logps/chosen": -126.0,
|
| 1383 |
+
"logps/rejected": -148.0,
|
| 1384 |
+
"loss": 0.4664,
|
| 1385 |
+
"rewards/accuracies": 0.875,
|
| 1386 |
+
"rewards/chosen": -1.09375,
|
| 1387 |
+
"rewards/margins": 1.296875,
|
| 1388 |
+
"rewards/rejected": -2.375,
|
| 1389 |
+
"step": 276
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 2.3846153846153846,
|
| 1393 |
+
"grad_norm": 2.630082607269287,
|
| 1394 |
+
"learning_rate": 1.160626170322177e-06,
|
| 1395 |
+
"logits/chosen": 0.09912109375,
|
| 1396 |
+
"logits/rejected": 0.134765625,
|
| 1397 |
+
"logps/chosen": -119.0,
|
| 1398 |
+
"logps/rejected": -147.0,
|
| 1399 |
+
"loss": 0.4221,
|
| 1400 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1401 |
+
"rewards/chosen": -0.91015625,
|
| 1402 |
+
"rewards/margins": 1.1875,
|
| 1403 |
+
"rewards/rejected": -2.09375,
|
| 1404 |
+
"step": 279
|
| 1405 |
+
},
|
| 1406 |
+
{
|
| 1407 |
+
"epoch": 2.41025641025641,
|
| 1408 |
+
"grad_norm": 2.4502968788146973,
|
| 1409 |
+
"learning_rate": 1.1438427347974552e-06,
|
| 1410 |
+
"logits/chosen": 0.17578125,
|
| 1411 |
+
"logits/rejected": 0.1787109375,
|
| 1412 |
+
"logps/chosen": -130.0,
|
| 1413 |
+
"logps/rejected": -167.0,
|
| 1414 |
+
"loss": 0.3601,
|
| 1415 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 1416 |
+
"rewards/chosen": -1.03125,
|
| 1417 |
+
"rewards/margins": 1.40625,
|
| 1418 |
+
"rewards/rejected": -2.4375,
|
| 1419 |
+
"step": 282
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 2.435897435897436,
|
| 1423 |
+
"grad_norm": 2.8177709579467773,
|
| 1424 |
+
"learning_rate": 1.1270178197468786e-06,
|
| 1425 |
+
"logits/chosen": 0.1044921875,
|
| 1426 |
+
"logits/rejected": 0.0966796875,
|
| 1427 |
+
"logps/chosen": -122.5,
|
| 1428 |
+
"logps/rejected": -147.0,
|
| 1429 |
+
"loss": 0.4305,
|
| 1430 |
+
"rewards/accuracies": 0.875,
|
| 1431 |
+
"rewards/chosen": -0.9765625,
|
| 1432 |
+
"rewards/margins": 1.265625,
|
| 1433 |
+
"rewards/rejected": -2.25,
|
| 1434 |
+
"step": 285
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 2.4615384615384617,
|
| 1438 |
+
"grad_norm": 1.9717708826065063,
|
| 1439 |
+
"learning_rate": 1.1101562769239945e-06,
|
| 1440 |
+
"logits/chosen": 0.20703125,
|
| 1441 |
+
"logits/rejected": 0.2021484375,
|
| 1442 |
+
"logps/chosen": -115.5,
|
| 1443 |
+
"logps/rejected": -141.0,
|
| 1444 |
+
"loss": 0.3989,
|
| 1445 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1446 |
+
"rewards/chosen": -1.0234375,
|
| 1447 |
+
"rewards/margins": 1.375,
|
| 1448 |
+
"rewards/rejected": -2.390625,
|
| 1449 |
+
"step": 288
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 2.4871794871794872,
|
| 1453 |
+
"grad_norm": 2.79207181930542,
|
| 1454 |
+
"learning_rate": 1.0932629686445985e-06,
|
| 1455 |
+
"logits/chosen": 0.08056640625,
|
| 1456 |
+
"logits/rejected": 0.07568359375,
|
| 1457 |
+
"logps/chosen": -99.0,
|
| 1458 |
+
"logps/rejected": -112.5,
|
| 1459 |
+
"loss": 0.4288,
|
| 1460 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 1461 |
+
"rewards/chosen": -0.796875,
|
| 1462 |
+
"rewards/margins": 1.0234375,
|
| 1463 |
+
"rewards/rejected": -1.828125,
|
| 1464 |
+
"step": 291
|
| 1465 |
+
},
|
| 1466 |
+
{
|
| 1467 |
+
"epoch": 2.5128205128205128,
|
| 1468 |
+
"grad_norm": 2.2847957611083984,
|
| 1469 |
+
"learning_rate": 1.0763427663846013e-06,
|
| 1470 |
+
"logits/chosen": 0.07373046875,
|
| 1471 |
+
"logits/rejected": 0.06494140625,
|
| 1472 |
+
"logps/chosen": -118.5,
|
| 1473 |
+
"logps/rejected": -153.0,
|
| 1474 |
+
"loss": 0.3853,
|
| 1475 |
+
"rewards/accuracies": 0.875,
|
| 1476 |
+
"rewards/chosen": -0.796875,
|
| 1477 |
+
"rewards/margins": 1.484375,
|
| 1478 |
+
"rewards/rejected": -2.28125,
|
| 1479 |
+
"step": 294
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 2.5384615384615383,
|
| 1483 |
+
"grad_norm": 2.584763288497925,
|
| 1484 |
+
"learning_rate": 1.0594005493752567e-06,
|
| 1485 |
+
"logits/chosen": 0.1416015625,
|
| 1486 |
+
"logits/rejected": 0.099609375,
|
| 1487 |
+
"logps/chosen": -103.0,
|
| 1488 |
+
"logps/rejected": -112.0,
|
| 1489 |
+
"loss": 0.4753,
|
| 1490 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1491 |
+
"rewards/chosen": -0.84375,
|
| 1492 |
+
"rewards/margins": 0.8359375,
|
| 1493 |
+
"rewards/rejected": -1.6796875,
|
| 1494 |
+
"step": 297
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 2.564102564102564,
|
| 1498 |
+
"grad_norm": 2.5454132556915283,
|
| 1499 |
+
"learning_rate": 1.0424412031961483e-06,
|
| 1500 |
+
"logits/chosen": 0.091796875,
|
| 1501 |
+
"logits/rejected": 0.140625,
|
| 1502 |
+
"logps/chosen": -133.0,
|
| 1503 |
+
"logps/rejected": -159.0,
|
| 1504 |
+
"loss": 0.4611,
|
| 1505 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 1506 |
+
"rewards/chosen": -1.1640625,
|
| 1507 |
+
"rewards/margins": 1.2265625,
|
| 1508 |
+
"rewards/rejected": -2.390625,
|
| 1509 |
+
"step": 300
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"epoch": 2.58974358974359,
|
| 1513 |
+
"grad_norm": 2.596614360809326,
|
| 1514 |
+
"learning_rate": 1.025469618366351e-06,
|
| 1515 |
+
"logits/chosen": 0.10693359375,
|
| 1516 |
+
"logits/rejected": 0.12255859375,
|
| 1517 |
+
"logps/chosen": -127.0,
|
| 1518 |
+
"logps/rejected": -139.0,
|
| 1519 |
+
"loss": 0.3776,
|
| 1520 |
+
"rewards/accuracies": 0.875,
|
| 1521 |
+
"rewards/chosen": -1.046875,
|
| 1522 |
+
"rewards/margins": 1.3125,
|
| 1523 |
+
"rewards/rejected": -2.359375,
|
| 1524 |
+
"step": 303
|
| 1525 |
+
},
|
| 1526 |
+
{
|
| 1527 |
+
"epoch": 2.6153846153846154,
|
| 1528 |
+
"grad_norm": 2.499739170074463,
|
| 1529 |
+
"learning_rate": 1.0084906889341656e-06,
|
| 1530 |
+
"logits/chosen": 0.1259765625,
|
| 1531 |
+
"logits/rejected": 0.126953125,
|
| 1532 |
+
"logps/chosen": -119.5,
|
| 1533 |
+
"logps/rejected": -153.0,
|
| 1534 |
+
"loss": 0.4089,
|
| 1535 |
+
"rewards/accuracies": 0.875,
|
| 1536 |
+
"rewards/chosen": -1.1171875,
|
| 1537 |
+
"rewards/margins": 1.15625,
|
| 1538 |
+
"rewards/rejected": -2.28125,
|
| 1539 |
+
"step": 306
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"epoch": 2.641025641025641,
|
| 1543 |
+
"grad_norm": 2.699960231781006,
|
| 1544 |
+
"learning_rate": 9.915093110658345e-07,
|
| 1545 |
+
"logits/chosen": 0.0986328125,
|
| 1546 |
+
"logits/rejected": 0.08349609375,
|
| 1547 |
+
"logps/chosen": -130.0,
|
| 1548 |
+
"logps/rejected": -157.0,
|
| 1549 |
+
"loss": 0.3958,
|
| 1550 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 1551 |
+
"rewards/chosen": -1.4140625,
|
| 1552 |
+
"rewards/margins": 1.1484375,
|
| 1553 |
+
"rewards/rejected": -2.5625,
|
| 1554 |
+
"step": 309
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 2.6666666666666665,
|
| 1558 |
+
"grad_norm": 2.4888288974761963,
|
| 1559 |
+
"learning_rate": 9.745303816336488e-07,
|
| 1560 |
+
"logits/chosen": 0.08447265625,
|
| 1561 |
+
"logits/rejected": 0.1953125,
|
| 1562 |
+
"logps/chosen": -120.5,
|
| 1563 |
+
"logps/rejected": -146.0,
|
| 1564 |
+
"loss": 0.4124,
|
| 1565 |
+
"rewards/accuracies": 0.9583333134651184,
|
| 1566 |
+
"rewards/chosen": -0.875,
|
| 1567 |
+
"rewards/margins": 1.6328125,
|
| 1568 |
+
"rewards/rejected": -2.5,
|
| 1569 |
+
"step": 312
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 2.6923076923076925,
|
| 1573 |
+
"grad_norm": 1.9904980659484863,
|
| 1574 |
+
"learning_rate": 9.575587968038518e-07,
|
| 1575 |
+
"logits/chosen": 0.1083984375,
|
| 1576 |
+
"logits/rejected": 0.21484375,
|
| 1577 |
+
"logps/chosen": -125.5,
|
| 1578 |
+
"logps/rejected": -149.0,
|
| 1579 |
+
"loss": 0.3721,
|
| 1580 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1581 |
+
"rewards/chosen": -0.9453125,
|
| 1582 |
+
"rewards/margins": 1.71875,
|
| 1583 |
+
"rewards/rejected": -2.671875,
|
| 1584 |
+
"step": 315
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 2.717948717948718,
|
| 1588 |
+
"grad_norm": 2.642254590988159,
|
| 1589 |
+
"learning_rate": 9.405994506247431e-07,
|
| 1590 |
+
"logits/chosen": 0.1083984375,
|
| 1591 |
+
"logits/rejected": 0.11376953125,
|
| 1592 |
+
"logps/chosen": -138.0,
|
| 1593 |
+
"logps/rejected": -154.0,
|
| 1594 |
+
"loss": 0.3767,
|
| 1595 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1596 |
+
"rewards/chosen": -1.1171875,
|
| 1597 |
+
"rewards/margins": 1.21875,
|
| 1598 |
+
"rewards/rejected": -2.328125,
|
| 1599 |
+
"step": 318
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 2.7435897435897436,
|
| 1603 |
+
"grad_norm": 2.751514434814453,
|
| 1604 |
+
"learning_rate": 9.236572336153985e-07,
|
| 1605 |
+
"logits/chosen": 0.236328125,
|
| 1606 |
+
"logits/rejected": 0.1708984375,
|
| 1607 |
+
"logps/chosen": -108.0,
|
| 1608 |
+
"logps/rejected": -150.0,
|
| 1609 |
+
"loss": 0.3958,
|
| 1610 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1611 |
+
"rewards/chosen": -0.96484375,
|
| 1612 |
+
"rewards/margins": 1.5,
|
| 1613 |
+
"rewards/rejected": -2.46875,
|
| 1614 |
+
"step": 321
|
| 1615 |
+
},
|
| 1616 |
+
{
|
| 1617 |
+
"epoch": 2.769230769230769,
|
| 1618 |
+
"grad_norm": 2.73346209526062,
|
| 1619 |
+
"learning_rate": 9.067370313554015e-07,
|
| 1620 |
+
"logits/chosen": 0.150390625,
|
| 1621 |
+
"logits/rejected": 0.130859375,
|
| 1622 |
+
"logps/chosen": -107.0,
|
| 1623 |
+
"logps/rejected": -141.0,
|
| 1624 |
+
"loss": 0.3487,
|
| 1625 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1626 |
+
"rewards/chosen": -0.83203125,
|
| 1627 |
+
"rewards/margins": 1.7109375,
|
| 1628 |
+
"rewards/rejected": -2.546875,
|
| 1629 |
+
"step": 324
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 2.7948717948717947,
|
| 1633 |
+
"grad_norm": 2.5458078384399414,
|
| 1634 |
+
"learning_rate": 8.898437230760057e-07,
|
| 1635 |
+
"logits/chosen": 0.208984375,
|
| 1636 |
+
"logits/rejected": 0.13671875,
|
| 1637 |
+
"logps/chosen": -110.5,
|
| 1638 |
+
"logps/rejected": -152.0,
|
| 1639 |
+
"loss": 0.3914,
|
| 1640 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1641 |
+
"rewards/chosen": -0.89453125,
|
| 1642 |
+
"rewards/margins": 1.40625,
|
| 1643 |
+
"rewards/rejected": -2.296875,
|
| 1644 |
+
"step": 327
|
| 1645 |
+
},
|
| 1646 |
+
{
|
| 1647 |
+
"epoch": 2.8205128205128203,
|
| 1648 |
+
"grad_norm": 2.728673219680786,
|
| 1649 |
+
"learning_rate": 8.729821802531212e-07,
|
| 1650 |
+
"logits/chosen": 0.146484375,
|
| 1651 |
+
"logits/rejected": 0.1123046875,
|
| 1652 |
+
"logps/chosen": -136.0,
|
| 1653 |
+
"logps/rejected": -158.0,
|
| 1654 |
+
"loss": 0.419,
|
| 1655 |
+
"rewards/accuracies": 0.875,
|
| 1656 |
+
"rewards/chosen": -1.15625,
|
| 1657 |
+
"rewards/margins": 1.4453125,
|
| 1658 |
+
"rewards/rejected": -2.59375,
|
| 1659 |
+
"step": 330
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 2.8461538461538463,
|
| 1663 |
+
"grad_norm": 2.601808786392212,
|
| 1664 |
+
"learning_rate": 8.561572652025446e-07,
|
| 1665 |
+
"logits/chosen": 0.130859375,
|
| 1666 |
+
"logits/rejected": 0.103515625,
|
| 1667 |
+
"logps/chosen": -117.5,
|
| 1668 |
+
"logps/rejected": -150.0,
|
| 1669 |
+
"loss": 0.372,
|
| 1670 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 1671 |
+
"rewards/chosen": -1.109375,
|
| 1672 |
+
"rewards/margins": 1.3046875,
|
| 1673 |
+
"rewards/rejected": -2.40625,
|
| 1674 |
+
"step": 333
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"epoch": 2.871794871794872,
|
| 1678 |
+
"grad_norm": 2.5382025241851807,
|
| 1679 |
+
"learning_rate": 8.393738296778227e-07,
|
| 1680 |
+
"logits/chosen": 0.04931640625,
|
| 1681 |
+
"logits/rejected": 0.0257568359375,
|
| 1682 |
+
"logps/chosen": -136.0,
|
| 1683 |
+
"logps/rejected": -136.0,
|
| 1684 |
+
"loss": 0.4305,
|
| 1685 |
+
"rewards/accuracies": 0.7083333134651184,
|
| 1686 |
+
"rewards/chosen": -1.265625,
|
| 1687 |
+
"rewards/margins": 0.7265625,
|
| 1688 |
+
"rewards/rejected": -1.9921875,
|
| 1689 |
+
"step": 336
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 2.8974358974358974,
|
| 1693 |
+
"grad_norm": 2.9267117977142334,
|
| 1694 |
+
"learning_rate": 8.226367134711691e-07,
|
| 1695 |
+
"logits/chosen": 0.046875,
|
| 1696 |
+
"logits/rejected": 0.12890625,
|
| 1697 |
+
"logps/chosen": -129.0,
|
| 1698 |
+
"logps/rejected": -160.0,
|
| 1699 |
+
"loss": 0.4168,
|
| 1700 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1701 |
+
"rewards/chosen": -1.3046875,
|
| 1702 |
+
"rewards/margins": 1.46875,
|
| 1703 |
+
"rewards/rejected": -2.765625,
|
| 1704 |
+
"step": 339
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 2.9230769230769234,
|
| 1708 |
+
"grad_norm": 2.3900935649871826,
|
| 1709 |
+
"learning_rate": 8.059507430178246e-07,
|
| 1710 |
+
"logits/chosen": 0.080078125,
|
| 1711 |
+
"logits/rejected": 0.1220703125,
|
| 1712 |
+
"logps/chosen": -146.0,
|
| 1713 |
+
"logps/rejected": -175.0,
|
| 1714 |
+
"loss": 0.4027,
|
| 1715 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1716 |
+
"rewards/chosen": -1.390625,
|
| 1717 |
+
"rewards/margins": 1.609375,
|
| 1718 |
+
"rewards/rejected": -3.0,
|
| 1719 |
+
"step": 342
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"epoch": 2.948717948717949,
|
| 1723 |
+
"grad_norm": 2.6986002922058105,
|
| 1724 |
+
"learning_rate": 7.89320730004274e-07,
|
| 1725 |
+
"logits/chosen": 0.1103515625,
|
| 1726 |
+
"logits/rejected": 0.08056640625,
|
| 1727 |
+
"logps/chosen": -105.0,
|
| 1728 |
+
"logps/rejected": -145.0,
|
| 1729 |
+
"loss": 0.4405,
|
| 1730 |
+
"rewards/accuracies": 0.875,
|
| 1731 |
+
"rewards/chosen": -1.2265625,
|
| 1732 |
+
"rewards/margins": 1.2109375,
|
| 1733 |
+
"rewards/rejected": -2.4375,
|
| 1734 |
+
"step": 345
|
| 1735 |
+
},
|
| 1736 |
+
{
|
| 1737 |
+
"epoch": 2.9743589743589745,
|
| 1738 |
+
"grad_norm": 2.854278564453125,
|
| 1739 |
+
"learning_rate": 7.727514699807101e-07,
|
| 1740 |
+
"logits/chosen": 0.1748046875,
|
| 1741 |
+
"logits/rejected": 0.1796875,
|
| 1742 |
+
"logps/chosen": -116.0,
|
| 1743 |
+
"logps/rejected": -127.0,
|
| 1744 |
+
"loss": 0.394,
|
| 1745 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1746 |
+
"rewards/chosen": -0.93359375,
|
| 1747 |
+
"rewards/margins": 1.09375,
|
| 1748 |
+
"rewards/rejected": -2.015625,
|
| 1749 |
+
"step": 348
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"epoch": 3.0,
|
| 1753 |
+
"grad_norm": 2.017193078994751,
|
| 1754 |
+
"learning_rate": 7.562477409781584e-07,
|
| 1755 |
+
"logits/chosen": 0.035888671875,
|
| 1756 |
+
"logits/rejected": 0.08935546875,
|
| 1757 |
+
"logps/chosen": -107.0,
|
| 1758 |
+
"logps/rejected": -125.0,
|
| 1759 |
+
"loss": 0.3628,
|
| 1760 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1761 |
+
"rewards/chosen": -0.92578125,
|
| 1762 |
+
"rewards/margins": 1.109375,
|
| 1763 |
+
"rewards/rejected": -2.03125,
|
| 1764 |
+
"step": 351
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"epoch": 3.0256410256410255,
|
| 1768 |
+
"grad_norm": 2.873739242553711,
|
| 1769 |
+
"learning_rate": 7.39814302130647e-07,
|
| 1770 |
+
"logits/chosen": 0.1572265625,
|
| 1771 |
+
"logits/rejected": 0.1005859375,
|
| 1772 |
+
"logps/chosen": -117.5,
|
| 1773 |
+
"logps/rejected": -140.0,
|
| 1774 |
+
"loss": 0.399,
|
| 1775 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1776 |
+
"rewards/chosen": -0.890625,
|
| 1777 |
+
"rewards/margins": 1.546875,
|
| 1778 |
+
"rewards/rejected": -2.4375,
|
| 1779 |
+
"step": 354
|
| 1780 |
+
},
|
| 1781 |
+
{
|
| 1782 |
+
"epoch": 3.051282051282051,
|
| 1783 |
+
"grad_norm": 2.0300047397613525,
|
| 1784 |
+
"learning_rate": 7.234558923028289e-07,
|
| 1785 |
+
"logits/chosen": 0.0693359375,
|
| 1786 |
+
"logits/rejected": 0.09228515625,
|
| 1787 |
+
"logps/chosen": -116.0,
|
| 1788 |
+
"logps/rejected": -146.0,
|
| 1789 |
+
"loss": 0.3313,
|
| 1790 |
+
"rewards/accuracies": 0.875,
|
| 1791 |
+
"rewards/chosen": -1.046875,
|
| 1792 |
+
"rewards/margins": 1.5078125,
|
| 1793 |
+
"rewards/rejected": -2.5625,
|
| 1794 |
+
"step": 357
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 3.076923076923077,
|
| 1798 |
+
"grad_norm": 3.1289193630218506,
|
| 1799 |
+
"learning_rate": 7.071772287234496e-07,
|
| 1800 |
+
"logits/chosen": 0.001678466796875,
|
| 1801 |
+
"logits/rejected": 0.0296630859375,
|
| 1802 |
+
"logps/chosen": -138.0,
|
| 1803 |
+
"logps/rejected": -174.0,
|
| 1804 |
+
"loss": 0.3334,
|
| 1805 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1806 |
+
"rewards/chosen": -1.1953125,
|
| 1807 |
+
"rewards/margins": 1.640625,
|
| 1808 |
+
"rewards/rejected": -2.84375,
|
| 1809 |
+
"step": 360
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 3.1025641025641026,
|
| 1813 |
+
"grad_norm": 2.7747201919555664,
|
| 1814 |
+
"learning_rate": 6.909830056250526e-07,
|
| 1815 |
+
"logits/chosen": 0.0093994140625,
|
| 1816 |
+
"logits/rejected": 0.05322265625,
|
| 1817 |
+
"logps/chosen": -139.0,
|
| 1818 |
+
"logps/rejected": -159.0,
|
| 1819 |
+
"loss": 0.3814,
|
| 1820 |
+
"rewards/accuracies": 1.0,
|
| 1821 |
+
"rewards/chosen": -1.203125,
|
| 1822 |
+
"rewards/margins": 1.46875,
|
| 1823 |
+
"rewards/rejected": -2.6875,
|
| 1824 |
+
"step": 363
|
| 1825 |
+
},
|
| 1826 |
+
{
|
| 1827 |
+
"epoch": 3.128205128205128,
|
| 1828 |
+
"grad_norm": 2.415590286254883,
|
| 1829 |
+
"learning_rate": 6.748778928903165e-07,
|
| 1830 |
+
"logits/chosen": 0.056396484375,
|
| 1831 |
+
"logits/rejected": 0.11181640625,
|
| 1832 |
+
"logps/chosen": -123.0,
|
| 1833 |
+
"logps/rejected": -163.0,
|
| 1834 |
+
"loss": 0.3505,
|
| 1835 |
+
"rewards/accuracies": 0.9583333134651184,
|
| 1836 |
+
"rewards/chosen": -1.2265625,
|
| 1837 |
+
"rewards/margins": 1.8515625,
|
| 1838 |
+
"rewards/rejected": -3.078125,
|
| 1839 |
+
"step": 366
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"epoch": 3.1538461538461537,
|
| 1843 |
+
"grad_norm": 2.7427213191986084,
|
| 1844 |
+
"learning_rate": 6.588665347054152e-07,
|
| 1845 |
+
"logits/chosen": -0.031494140625,
|
| 1846 |
+
"logits/rejected": 0.06494140625,
|
| 1847 |
+
"logps/chosen": -135.0,
|
| 1848 |
+
"logps/rejected": -162.0,
|
| 1849 |
+
"loss": 0.3808,
|
| 1850 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1851 |
+
"rewards/chosen": -1.21875,
|
| 1852 |
+
"rewards/margins": 1.578125,
|
| 1853 |
+
"rewards/rejected": -2.796875,
|
| 1854 |
+
"step": 369
|
| 1855 |
+
},
|
| 1856 |
+
{
|
| 1857 |
+
"epoch": 3.1794871794871793,
|
| 1858 |
+
"grad_norm": 2.864881753921509,
|
| 1859 |
+
"learning_rate": 6.429535482207846e-07,
|
| 1860 |
+
"logits/chosen": 0.09716796875,
|
| 1861 |
+
"logits/rejected": 0.07958984375,
|
| 1862 |
+
"logps/chosen": -112.0,
|
| 1863 |
+
"logps/rejected": -140.0,
|
| 1864 |
+
"loss": 0.354,
|
| 1865 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1866 |
+
"rewards/chosen": -0.96875,
|
| 1867 |
+
"rewards/margins": 1.453125,
|
| 1868 |
+
"rewards/rejected": -2.421875,
|
| 1869 |
+
"step": 372
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"epoch": 3.2051282051282053,
|
| 1873 |
+
"grad_norm": 2.073596954345703,
|
| 1874 |
+
"learning_rate": 6.271435222196914e-07,
|
| 1875 |
+
"logits/chosen": 0.0291748046875,
|
| 1876 |
+
"logits/rejected": 0.009033203125,
|
| 1877 |
+
"logps/chosen": -139.0,
|
| 1878 |
+
"logps/rejected": -149.0,
|
| 1879 |
+
"loss": 0.315,
|
| 1880 |
+
"rewards/accuracies": 0.875,
|
| 1881 |
+
"rewards/chosen": -1.2578125,
|
| 1882 |
+
"rewards/margins": 1.6328125,
|
| 1883 |
+
"rewards/rejected": -2.890625,
|
| 1884 |
+
"step": 375
|
| 1885 |
+
},
|
| 1886 |
+
{
|
| 1887 |
+
"epoch": 3.230769230769231,
|
| 1888 |
+
"grad_norm": 2.8894355297088623,
|
| 1889 |
+
"learning_rate": 6.114410157949745e-07,
|
| 1890 |
+
"logits/chosen": 0.018798828125,
|
| 1891 |
+
"logits/rejected": 0.0986328125,
|
| 1892 |
+
"logps/chosen": -123.0,
|
| 1893 |
+
"logps/rejected": -159.0,
|
| 1894 |
+
"loss": 0.4066,
|
| 1895 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 1896 |
+
"rewards/chosen": -1.3125,
|
| 1897 |
+
"rewards/margins": 1.3359375,
|
| 1898 |
+
"rewards/rejected": -2.640625,
|
| 1899 |
+
"step": 378
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 3.2564102564102564,
|
| 1903 |
+
"grad_norm": 3.8194832801818848,
|
| 1904 |
+
"learning_rate": 5.958505570343561e-07,
|
| 1905 |
+
"logits/chosen": 0.1689453125,
|
| 1906 |
+
"logits/rejected": 0.1611328125,
|
| 1907 |
+
"logps/chosen": -110.5,
|
| 1908 |
+
"logps/rejected": -136.0,
|
| 1909 |
+
"loss": 0.4066,
|
| 1910 |
+
"rewards/accuracies": 0.75,
|
| 1911 |
+
"rewards/chosen": -1.34375,
|
| 1912 |
+
"rewards/margins": 0.91015625,
|
| 1913 |
+
"rewards/rejected": -2.25,
|
| 1914 |
+
"step": 381
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 3.282051282051282,
|
| 1918 |
+
"grad_norm": 2.2550456523895264,
|
| 1919 |
+
"learning_rate": 5.803766417146859e-07,
|
| 1920 |
+
"logits/chosen": 0.1865234375,
|
| 1921 |
+
"logits/rejected": 0.1357421875,
|
| 1922 |
+
"logps/chosen": -114.0,
|
| 1923 |
+
"logps/rejected": -158.0,
|
| 1924 |
+
"loss": 0.3373,
|
| 1925 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 1926 |
+
"rewards/chosen": -1.3046875,
|
| 1927 |
+
"rewards/margins": 1.75,
|
| 1928 |
+
"rewards/rejected": -3.0625,
|
| 1929 |
+
"step": 384
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 3.3076923076923075,
|
| 1933 |
+
"grad_norm": 3.2783937454223633,
|
| 1934 |
+
"learning_rate": 5.650237320055106e-07,
|
| 1935 |
+
"logits/chosen": -0.030029296875,
|
| 1936 |
+
"logits/rejected": 0.04052734375,
|
| 1937 |
+
"logps/chosen": -141.0,
|
| 1938 |
+
"logps/rejected": -160.0,
|
| 1939 |
+
"loss": 0.3154,
|
| 1940 |
+
"rewards/accuracies": 0.9583333134651184,
|
| 1941 |
+
"rewards/chosen": -1.3984375,
|
| 1942 |
+
"rewards/margins": 1.796875,
|
| 1943 |
+
"rewards/rejected": -3.203125,
|
| 1944 |
+
"step": 387
|
| 1945 |
+
},
|
| 1946 |
+
{
|
| 1947 |
+
"epoch": 3.3333333333333335,
|
| 1948 |
+
"grad_norm": 3.349325180053711,
|
| 1949 |
+
"learning_rate": 5.497962551823266e-07,
|
| 1950 |
+
"logits/chosen": -0.0537109375,
|
| 1951 |
+
"logits/rejected": 0.0213623046875,
|
| 1952 |
+
"logps/chosen": -140.0,
|
| 1953 |
+
"logps/rejected": -175.0,
|
| 1954 |
+
"loss": 0.3752,
|
| 1955 |
+
"rewards/accuracies": 0.875,
|
| 1956 |
+
"rewards/chosen": -1.359375,
|
| 1957 |
+
"rewards/margins": 1.625,
|
| 1958 |
+
"rewards/rejected": -2.984375,
|
| 1959 |
+
"step": 390
|
| 1960 |
+
},
|
| 1961 |
+
{
|
| 1962 |
+
"epoch": 3.358974358974359,
|
| 1963 |
+
"grad_norm": 2.396205186843872,
|
| 1964 |
+
"learning_rate": 5.346986023499026e-07,
|
| 1965 |
+
"logits/chosen": 0.1240234375,
|
| 1966 |
+
"logits/rejected": 0.126953125,
|
| 1967 |
+
"logps/chosen": -135.0,
|
| 1968 |
+
"logps/rejected": -171.0,
|
| 1969 |
+
"loss": 0.3165,
|
| 1970 |
+
"rewards/accuracies": 1.0,
|
| 1971 |
+
"rewards/chosen": -1.328125,
|
| 1972 |
+
"rewards/margins": 1.8984375,
|
| 1973 |
+
"rewards/rejected": -3.21875,
|
| 1974 |
+
"step": 393
|
| 1975 |
+
},
|
| 1976 |
+
{
|
| 1977 |
+
"epoch": 3.3846153846153846,
|
| 1978 |
+
"grad_norm": 2.4508631229400635,
|
| 1979 |
+
"learning_rate": 5.197351271760258e-07,
|
| 1980 |
+
"logits/chosen": -0.0263671875,
|
| 1981 |
+
"logits/rejected": 0.0966796875,
|
| 1982 |
+
"logps/chosen": -116.0,
|
| 1983 |
+
"logps/rejected": -130.0,
|
| 1984 |
+
"loss": 0.3593,
|
| 1985 |
+
"rewards/accuracies": 0.875,
|
| 1986 |
+
"rewards/chosen": -0.9609375,
|
| 1987 |
+
"rewards/margins": 1.7578125,
|
| 1988 |
+
"rewards/rejected": -2.71875,
|
| 1989 |
+
"step": 396
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"epoch": 3.41025641025641,
|
| 1993 |
+
"grad_norm": 3.2673799991607666,
|
| 1994 |
+
"learning_rate": 5.049101446360497e-07,
|
| 1995 |
+
"logits/chosen": 0.134765625,
|
| 1996 |
+
"logits/rejected": 0.2021484375,
|
| 1997 |
+
"logps/chosen": -110.5,
|
| 1998 |
+
"logps/rejected": -133.0,
|
| 1999 |
+
"loss": 0.3686,
|
| 2000 |
+
"rewards/accuracies": 0.875,
|
| 2001 |
+
"rewards/chosen": -0.98828125,
|
| 2002 |
+
"rewards/margins": 1.65625,
|
| 2003 |
+
"rewards/rejected": -2.640625,
|
| 2004 |
+
"step": 399
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 3.435897435897436,
|
| 2008 |
+
"grad_norm": 2.6491222381591797,
|
| 2009 |
+
"learning_rate": 4.902279297685945e-07,
|
| 2010 |
+
"logits/chosen": 0.0693359375,
|
| 2011 |
+
"logits/rejected": 0.1455078125,
|
| 2012 |
+
"logps/chosen": -124.0,
|
| 2013 |
+
"logps/rejected": -137.0,
|
| 2014 |
+
"loss": 0.3663,
|
| 2015 |
+
"rewards/accuracies": 0.875,
|
| 2016 |
+
"rewards/chosen": -1.0546875,
|
| 2017 |
+
"rewards/margins": 1.359375,
|
| 2018 |
+
"rewards/rejected": -2.40625,
|
| 2019 |
+
"step": 402
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 3.4615384615384617,
|
| 2023 |
+
"grad_norm": 3.2985990047454834,
|
| 2024 |
+
"learning_rate": 4.756927164427684e-07,
|
| 2025 |
+
"logits/chosen": 0.12451171875,
|
| 2026 |
+
"logits/rejected": 0.1474609375,
|
| 2027 |
+
"logps/chosen": -122.0,
|
| 2028 |
+
"logps/rejected": -163.0,
|
| 2029 |
+
"loss": 0.3685,
|
| 2030 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 2031 |
+
"rewards/chosen": -1.3515625,
|
| 2032 |
+
"rewards/margins": 1.4609375,
|
| 2033 |
+
"rewards/rejected": -2.8125,
|
| 2034 |
+
"step": 405
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"epoch": 3.4871794871794872,
|
| 2038 |
+
"grad_norm": 1.697457194328308,
|
| 2039 |
+
"learning_rate": 4.613086961372561e-07,
|
| 2040 |
+
"logits/chosen": 0.181640625,
|
| 2041 |
+
"logits/rejected": 0.23046875,
|
| 2042 |
+
"logps/chosen": -113.0,
|
| 2043 |
+
"logps/rejected": -124.0,
|
| 2044 |
+
"loss": 0.333,
|
| 2045 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 2046 |
+
"rewards/chosen": -1.3828125,
|
| 2047 |
+
"rewards/margins": 1.0703125,
|
| 2048 |
+
"rewards/rejected": -2.453125,
|
| 2049 |
+
"step": 408
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 3.5128205128205128,
|
| 2053 |
+
"grad_norm": 3.6975581645965576,
|
| 2054 |
+
"learning_rate": 4.4708001673163663e-07,
|
| 2055 |
+
"logits/chosen": 0.0174560546875,
|
| 2056 |
+
"logits/rejected": 0.04052734375,
|
| 2057 |
+
"logps/chosen": -120.0,
|
| 2058 |
+
"logps/rejected": -150.0,
|
| 2059 |
+
"loss": 0.3828,
|
| 2060 |
+
"rewards/accuracies": 0.9583333134651184,
|
| 2061 |
+
"rewards/chosen": -1.125,
|
| 2062 |
+
"rewards/margins": 1.7890625,
|
| 2063 |
+
"rewards/rejected": -2.921875,
|
| 2064 |
+
"step": 411
|
| 2065 |
+
},
|
| 2066 |
+
{
|
| 2067 |
+
"epoch": 3.5384615384615383,
|
| 2068 |
+
"grad_norm": 2.6693131923675537,
|
| 2069 |
+
"learning_rate": 4.3301078131026823e-07,
|
| 2070 |
+
"logits/chosen": 0.072265625,
|
| 2071 |
+
"logits/rejected": 0.08740234375,
|
| 2072 |
+
"logps/chosen": -140.0,
|
| 2073 |
+
"logps/rejected": -170.0,
|
| 2074 |
+
"loss": 0.3223,
|
| 2075 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 2076 |
+
"rewards/chosen": -1.4765625,
|
| 2077 |
+
"rewards/margins": 1.9140625,
|
| 2078 |
+
"rewards/rejected": -3.390625,
|
| 2079 |
+
"step": 414
|
| 2080 |
+
},
|
| 2081 |
+
{
|
| 2082 |
+
"epoch": 3.564102564102564,
|
| 2083 |
+
"grad_norm": 3.120739221572876,
|
| 2084 |
+
"learning_rate": 4.191050469790961e-07,
|
| 2085 |
+
"logits/chosen": 0.09033203125,
|
| 2086 |
+
"logits/rejected": 0.12353515625,
|
| 2087 |
+
"logps/chosen": -123.0,
|
| 2088 |
+
"logps/rejected": -155.0,
|
| 2089 |
+
"loss": 0.3776,
|
| 2090 |
+
"rewards/accuracies": 0.7916666865348816,
|
| 2091 |
+
"rewards/chosen": -1.5,
|
| 2092 |
+
"rewards/margins": 1.3984375,
|
| 2093 |
+
"rewards/rejected": -2.890625,
|
| 2094 |
+
"step": 417
|
| 2095 |
+
},
|
| 2096 |
+
{
|
| 2097 |
+
"epoch": 3.58974358974359,
|
| 2098 |
+
"grad_norm": 2.7248075008392334,
|
| 2099 |
+
"learning_rate": 4.053668236957134e-07,
|
| 2100 |
+
"logits/chosen": 0.072265625,
|
| 2101 |
+
"logits/rejected": 0.09765625,
|
| 2102 |
+
"logps/chosen": -134.0,
|
| 2103 |
+
"logps/rejected": -165.0,
|
| 2104 |
+
"loss": 0.2954,
|
| 2105 |
+
"rewards/accuracies": 0.9583333134651184,
|
| 2106 |
+
"rewards/chosen": -1.265625,
|
| 2107 |
+
"rewards/margins": 2.1875,
|
| 2108 |
+
"rewards/rejected": -3.453125,
|
| 2109 |
+
"step": 420
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 3.6153846153846154,
|
| 2113 |
+
"grad_norm": 2.782973527908325,
|
| 2114 |
+
"learning_rate": 3.918000731130238e-07,
|
| 2115 |
+
"logits/chosen": 0.1015625,
|
| 2116 |
+
"logits/rejected": 0.123046875,
|
| 2117 |
+
"logps/chosen": -115.0,
|
| 2118 |
+
"logps/rejected": -152.0,
|
| 2119 |
+
"loss": 0.336,
|
| 2120 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 2121 |
+
"rewards/chosen": -1.203125,
|
| 2122 |
+
"rewards/margins": 1.828125,
|
| 2123 |
+
"rewards/rejected": -3.03125,
|
| 2124 |
+
"step": 423
|
| 2125 |
+
},
|
| 2126 |
+
{
|
| 2127 |
+
"epoch": 3.641025641025641,
|
| 2128 |
+
"grad_norm": 2.623746395111084,
|
| 2129 |
+
"learning_rate": 3.7840870743682784e-07,
|
| 2130 |
+
"logits/chosen": 0.0361328125,
|
| 2131 |
+
"logits/rejected": -0.0135498046875,
|
| 2132 |
+
"logps/chosen": -114.5,
|
| 2133 |
+
"logps/rejected": -144.0,
|
| 2134 |
+
"loss": 0.332,
|
| 2135 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 2136 |
+
"rewards/chosen": -1.1796875,
|
| 2137 |
+
"rewards/margins": 1.4140625,
|
| 2138 |
+
"rewards/rejected": -2.59375,
|
| 2139 |
+
"step": 426
|
| 2140 |
+
},
|
| 2141 |
+
{
|
| 2142 |
+
"epoch": 3.6666666666666665,
|
| 2143 |
+
"grad_norm": 3.1472394466400146,
|
| 2144 |
+
"learning_rate": 3.651965882976745e-07,
|
| 2145 |
+
"logits/chosen": 0.076171875,
|
| 2146 |
+
"logits/rejected": 0.061279296875,
|
| 2147 |
+
"logps/chosen": -121.0,
|
| 2148 |
+
"logps/rejected": -138.0,
|
| 2149 |
+
"loss": 0.4179,
|
| 2150 |
+
"rewards/accuracies": 0.7083333134651184,
|
| 2151 |
+
"rewards/chosen": -1.5546875,
|
| 2152 |
+
"rewards/margins": 1.1015625,
|
| 2153 |
+
"rewards/rejected": -2.65625,
|
| 2154 |
+
"step": 429
|
| 2155 |
+
},
|
| 2156 |
+
{
|
| 2157 |
+
"epoch": 3.6923076923076925,
|
| 2158 |
+
"grad_norm": 3.3787548542022705,
|
| 2159 |
+
"learning_rate": 3.5216752563729004e-07,
|
| 2160 |
+
"logits/chosen": 0.05126953125,
|
| 2161 |
+
"logits/rejected": 0.09716796875,
|
| 2162 |
+
"logps/chosen": -125.0,
|
| 2163 |
+
"logps/rejected": -144.0,
|
| 2164 |
+
"loss": 0.3857,
|
| 2165 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 2166 |
+
"rewards/chosen": -1.5,
|
| 2167 |
+
"rewards/margins": 1.546875,
|
| 2168 |
+
"rewards/rejected": -3.046875,
|
| 2169 |
+
"step": 432
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 3.717948717948718,
|
| 2173 |
+
"grad_norm": 2.2831146717071533,
|
| 2174 |
+
"learning_rate": 3.393252766099187e-07,
|
| 2175 |
+
"logits/chosen": -0.06103515625,
|
| 2176 |
+
"logits/rejected": -0.0380859375,
|
| 2177 |
+
"logps/chosen": -129.0,
|
| 2178 |
+
"logps/rejected": -160.0,
|
| 2179 |
+
"loss": 0.2803,
|
| 2180 |
+
"rewards/accuracies": 0.9583333134651184,
|
| 2181 |
+
"rewards/chosen": -1.2890625,
|
| 2182 |
+
"rewards/margins": 1.984375,
|
| 2183 |
+
"rewards/rejected": -3.265625,
|
| 2184 |
+
"step": 435
|
| 2185 |
+
},
|
| 2186 |
+
{
|
| 2187 |
+
"epoch": 3.7435897435897436,
|
| 2188 |
+
"grad_norm": 3.6543710231781006,
|
| 2189 |
+
"learning_rate": 3.2667354449888074e-07,
|
| 2190 |
+
"logits/chosen": 0.00030517578125,
|
| 2191 |
+
"logits/rejected": 0.039794921875,
|
| 2192 |
+
"logps/chosen": -146.0,
|
| 2193 |
+
"logps/rejected": -165.0,
|
| 2194 |
+
"loss": 0.4561,
|
| 2195 |
+
"rewards/accuracies": 0.875,
|
| 2196 |
+
"rewards/chosen": -1.8984375,
|
| 2197 |
+
"rewards/margins": 1.2109375,
|
| 2198 |
+
"rewards/rejected": -3.109375,
|
| 2199 |
+
"step": 438
|
| 2200 |
+
},
|
| 2201 |
+
{
|
| 2202 |
+
"epoch": 3.769230769230769,
|
| 2203 |
+
"grad_norm": 2.645735025405884,
|
| 2204 |
+
"learning_rate": 3.1421597764866856e-07,
|
| 2205 |
+
"logits/chosen": 0.04248046875,
|
| 2206 |
+
"logits/rejected": 0.0380859375,
|
| 2207 |
+
"logps/chosen": -105.5,
|
| 2208 |
+
"logps/rejected": -143.0,
|
| 2209 |
+
"loss": 0.3253,
|
| 2210 |
+
"rewards/accuracies": 0.875,
|
| 2211 |
+
"rewards/chosen": -1.046875,
|
| 2212 |
+
"rewards/margins": 1.609375,
|
| 2213 |
+
"rewards/rejected": -2.65625,
|
| 2214 |
+
"step": 441
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 3.7948717948717947,
|
| 2218 |
+
"grad_norm": 3.269747018814087,
|
| 2219 |
+
"learning_rate": 3.019561684128823e-07,
|
| 2220 |
+
"logits/chosen": 0.040771484375,
|
| 2221 |
+
"logits/rejected": 0.005584716796875,
|
| 2222 |
+
"logps/chosen": -123.5,
|
| 2223 |
+
"logps/rejected": -143.0,
|
| 2224 |
+
"loss": 0.4199,
|
| 2225 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 2226 |
+
"rewards/chosen": -1.25,
|
| 2227 |
+
"rewards/margins": 1.2890625,
|
| 2228 |
+
"rewards/rejected": -2.546875,
|
| 2229 |
+
"step": 444
|
| 2230 |
+
},
|
| 2231 |
+
{
|
| 2232 |
+
"epoch": 3.8205128205128203,
|
| 2233 |
+
"grad_norm": 3.2382609844207764,
|
| 2234 |
+
"learning_rate": 2.898976521183143e-07,
|
| 2235 |
+
"logits/chosen": 0.1064453125,
|
| 2236 |
+
"logits/rejected": 0.0830078125,
|
| 2237 |
+
"logps/chosen": -120.5,
|
| 2238 |
+
"logps/rejected": -149.0,
|
| 2239 |
+
"loss": 0.3449,
|
| 2240 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 2241 |
+
"rewards/chosen": -1.1328125,
|
| 2242 |
+
"rewards/margins": 1.8125,
|
| 2243 |
+
"rewards/rejected": -2.9375,
|
| 2244 |
+
"step": 447
|
| 2245 |
+
},
|
| 2246 |
+
{
|
| 2247 |
+
"epoch": 3.8461538461538463,
|
| 2248 |
+
"grad_norm": 3.1709492206573486,
|
| 2249 |
+
"learning_rate": 2.7804390604547556e-07,
|
| 2250 |
+
"logits/chosen": -0.0198974609375,
|
| 2251 |
+
"logits/rejected": -0.01123046875,
|
| 2252 |
+
"logps/chosen": -135.0,
|
| 2253 |
+
"logps/rejected": -170.0,
|
| 2254 |
+
"loss": 0.3787,
|
| 2255 |
+
"rewards/accuracies": 0.875,
|
| 2256 |
+
"rewards/chosen": -1.65625,
|
| 2257 |
+
"rewards/margins": 2.0,
|
| 2258 |
+
"rewards/rejected": -3.65625,
|
| 2259 |
+
"step": 450
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"epoch": 3.871794871794872,
|
| 2263 |
+
"grad_norm": 2.88985013961792,
|
| 2264 |
+
"learning_rate": 2.663983484258636e-07,
|
| 2265 |
+
"logits/chosen": 0.031494140625,
|
| 2266 |
+
"logits/rejected": 0.048583984375,
|
| 2267 |
+
"logps/chosen": -137.0,
|
| 2268 |
+
"logps/rejected": -157.0,
|
| 2269 |
+
"loss": 0.3285,
|
| 2270 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 2271 |
+
"rewards/chosen": -1.6484375,
|
| 2272 |
+
"rewards/margins": 1.5859375,
|
| 2273 |
+
"rewards/rejected": -3.234375,
|
| 2274 |
+
"step": 453
|
| 2275 |
+
},
|
| 2276 |
+
{
|
| 2277 |
+
"epoch": 3.8974358974358974,
|
| 2278 |
+
"grad_norm": 3.0768532752990723,
|
| 2279 |
+
"learning_rate": 2.549643374562549e-07,
|
| 2280 |
+
"logits/chosen": 0.1064453125,
|
| 2281 |
+
"logits/rejected": 0.1376953125,
|
| 2282 |
+
"logps/chosen": -90.5,
|
| 2283 |
+
"logps/rejected": -125.0,
|
| 2284 |
+
"loss": 0.3256,
|
| 2285 |
+
"rewards/accuracies": 0.875,
|
| 2286 |
+
"rewards/chosen": -1.140625,
|
| 2287 |
+
"rewards/margins": 1.359375,
|
| 2288 |
+
"rewards/rejected": -2.5,
|
| 2289 |
+
"step": 456
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 3.9230769230769234,
|
| 2293 |
+
"grad_norm": 2.6071791648864746,
|
| 2294 |
+
"learning_rate": 2.4374517033031283e-07,
|
| 2295 |
+
"logits/chosen": 0.1171875,
|
| 2296 |
+
"logits/rejected": 0.14453125,
|
| 2297 |
+
"logps/chosen": -121.0,
|
| 2298 |
+
"logps/rejected": -146.0,
|
| 2299 |
+
"loss": 0.3638,
|
| 2300 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 2301 |
+
"rewards/chosen": -1.3359375,
|
| 2302 |
+
"rewards/margins": 1.5546875,
|
| 2303 |
+
"rewards/rejected": -2.890625,
|
| 2304 |
+
"step": 459
|
| 2305 |
+
},
|
| 2306 |
+
{
|
| 2307 |
+
"epoch": 3.948717948717949,
|
| 2308 |
+
"grad_norm": 2.748244285583496,
|
| 2309 |
+
"learning_rate": 2.3274408228778354e-07,
|
| 2310 |
+
"logits/chosen": 0.015625,
|
| 2311 |
+
"logits/rejected": 0.042236328125,
|
| 2312 |
+
"logps/chosen": -112.0,
|
| 2313 |
+
"logps/rejected": -135.0,
|
| 2314 |
+
"loss": 0.3545,
|
| 2315 |
+
"rewards/accuracies": 0.8333333134651184,
|
| 2316 |
+
"rewards/chosen": -0.9375,
|
| 2317 |
+
"rewards/margins": 1.390625,
|
| 2318 |
+
"rewards/rejected": -2.328125,
|
| 2319 |
+
"step": 462
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 3.9743589743589745,
|
| 2323 |
+
"grad_norm": 2.53035306930542,
|
| 2324 |
+
"learning_rate": 2.219642456815607e-07,
|
| 2325 |
+
"logits/chosen": 0.1640625,
|
| 2326 |
+
"logits/rejected": 0.0693359375,
|
| 2327 |
+
"logps/chosen": -110.0,
|
| 2328 |
+
"logps/rejected": -133.0,
|
| 2329 |
+
"loss": 0.3363,
|
| 2330 |
+
"rewards/accuracies": 0.9166666865348816,
|
| 2331 |
+
"rewards/chosen": -0.95703125,
|
| 2332 |
+
"rewards/margins": 1.6328125,
|
| 2333 |
+
"rewards/rejected": -2.59375,
|
| 2334 |
+
"step": 465
|
| 2335 |
+
},
|
| 2336 |
+
{
|
| 2337 |
+
"epoch": 4.0,
|
| 2338 |
+
"grad_norm": 2.739515542984009,
|
| 2339 |
+
"learning_rate": 2.1140876906288086e-07,
|
| 2340 |
+
"logits/chosen": 0.005340576171875,
|
| 2341 |
+
"logits/rejected": 0.028076171875,
|
| 2342 |
+
"logps/chosen": -119.0,
|
| 2343 |
+
"logps/rejected": -154.0,
|
| 2344 |
+
"loss": 0.285,
|
| 2345 |
+
"rewards/accuracies": 0.875,
|
| 2346 |
+
"rewards/chosen": -1.3203125,
|
| 2347 |
+
"rewards/margins": 1.6484375,
|
| 2348 |
+
"rewards/rejected": -2.96875,
|
| 2349 |
+
"step": 468
|
| 2350 |
+
}
|
| 2351 |
+
],
|
| 2352 |
+
"logging_steps": 3,
|
| 2353 |
+
"max_steps": 585,
|
| 2354 |
+
"num_input_tokens_seen": 0,
|
| 2355 |
+
"num_train_epochs": 5,
|
| 2356 |
+
"save_steps": 500,
|
| 2357 |
+
"stateful_callbacks": {
|
| 2358 |
+
"TrainerControl": {
|
| 2359 |
+
"args": {
|
| 2360 |
+
"should_epoch_stop": false,
|
| 2361 |
+
"should_evaluate": false,
|
| 2362 |
+
"should_log": false,
|
| 2363 |
+
"should_save": true,
|
| 2364 |
+
"should_training_stop": false
|
| 2365 |
+
},
|
| 2366 |
+
"attributes": {}
|
| 2367 |
+
}
|
| 2368 |
+
},
|
| 2369 |
+
"total_flos": 0.0,
|
| 2370 |
+
"train_batch_size": 4,
|
| 2371 |
+
"trial_name": null,
|
| 2372 |
+
"trial_params": null
|
| 2373 |
+
}
|
7b/iteration2/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:492227d3d4411d4317ac7f67aad6b04d8ed2a75d50ca234d1e1b1bb7c6bd3317
|
| 3 |
+
size 7992
|