Upload 71 files
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- second_run_dpo/model/README.md +202 -0
- second_run_dpo/model/adapter_config.json +31 -0
- second_run_dpo/model/adapter_model.safetensors +3 -0
- second_run_dpo/model/checkpoint-100/README.md +202 -0
- second_run_dpo/model/checkpoint-100/adapter_config.json +31 -0
- second_run_dpo/model/checkpoint-100/adapter_model.safetensors +3 -0
- second_run_dpo/model/checkpoint-100/optimizer.pt +3 -0
- second_run_dpo/model/checkpoint-100/rng_state.pth +3 -0
- second_run_dpo/model/checkpoint-100/scheduler.pt +3 -0
- second_run_dpo/model/checkpoint-100/special_tokens_map.json +24 -0
- second_run_dpo/model/checkpoint-100/tokenizer.json +0 -0
- second_run_dpo/model/checkpoint-100/tokenizer.model +3 -0
- second_run_dpo/model/checkpoint-100/tokenizer_config.json +0 -0
- second_run_dpo/model/checkpoint-100/trainer_state.json +183 -0
- second_run_dpo/model/checkpoint-100/training_args.bin +3 -0
- second_run_dpo/model/checkpoint-150/README.md +202 -0
- second_run_dpo/model/checkpoint-150/adapter_config.json +31 -0
- second_run_dpo/model/checkpoint-150/adapter_model.safetensors +3 -0
- second_run_dpo/model/checkpoint-150/optimizer.pt +3 -0
- second_run_dpo/model/checkpoint-150/rng_state.pth +3 -0
- second_run_dpo/model/checkpoint-150/scheduler.pt +3 -0
- second_run_dpo/model/checkpoint-150/special_tokens_map.json +24 -0
- second_run_dpo/model/checkpoint-150/tokenizer.json +0 -0
- second_run_dpo/model/checkpoint-150/tokenizer.model +3 -0
- second_run_dpo/model/checkpoint-150/tokenizer_config.json +0 -0
- second_run_dpo/model/checkpoint-150/trainer_state.json +258 -0
- second_run_dpo/model/checkpoint-150/training_args.bin +3 -0
- second_run_dpo/model/checkpoint-200/README.md +202 -0
- second_run_dpo/model/checkpoint-200/adapter_config.json +31 -0
- second_run_dpo/model/checkpoint-200/adapter_model.safetensors +3 -0
- second_run_dpo/model/checkpoint-200/optimizer.pt +3 -0
- second_run_dpo/model/checkpoint-200/rng_state.pth +3 -0
- second_run_dpo/model/checkpoint-200/scheduler.pt +3 -0
- second_run_dpo/model/checkpoint-200/special_tokens_map.json +24 -0
- second_run_dpo/model/checkpoint-200/tokenizer.json +0 -0
- second_run_dpo/model/checkpoint-200/tokenizer.model +3 -0
- second_run_dpo/model/checkpoint-200/tokenizer_config.json +0 -0
- second_run_dpo/model/checkpoint-200/trainer_state.json +333 -0
- second_run_dpo/model/checkpoint-200/training_args.bin +3 -0
- second_run_dpo/model/checkpoint-237/README.md +202 -0
- second_run_dpo/model/checkpoint-237/adapter_config.json +31 -0
- second_run_dpo/model/checkpoint-237/adapter_model.safetensors +3 -0
- second_run_dpo/model/checkpoint-237/optimizer.pt +3 -0
- second_run_dpo/model/checkpoint-237/rng_state.pth +3 -0
- second_run_dpo/model/checkpoint-237/scheduler.pt +3 -0
- second_run_dpo/model/checkpoint-237/special_tokens_map.json +24 -0
- second_run_dpo/model/checkpoint-237/tokenizer.json +0 -0
- second_run_dpo/model/checkpoint-237/tokenizer.model +3 -0
- second_run_dpo/model/checkpoint-237/tokenizer_config.json +0 -0
- second_run_dpo/model/checkpoint-237/trainer_state.json +378 -0
second_run_dpo/model/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 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 0.12.1.dev0
|
second_run_dpo/model/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0.1,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"v_proj",
|
| 25 |
+
"k_proj",
|
| 26 |
+
"o_proj"
|
| 27 |
+
],
|
| 28 |
+
"task_type": "CAUSAL_LM",
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
second_run_dpo/model/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:92d63dd46155ee09134e2a478e57a91e155358c5d4e3326e72224e062dbb3db7
|
| 3 |
+
size 218138576
|
second_run_dpo/model/checkpoint-100/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 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 0.12.1.dev0
|
second_run_dpo/model/checkpoint-100/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0.1,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"v_proj",
|
| 25 |
+
"k_proj",
|
| 26 |
+
"o_proj"
|
| 27 |
+
],
|
| 28 |
+
"task_type": "CAUSAL_LM",
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
second_run_dpo/model/checkpoint-100/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d19a7649675dde556f1d8a0c066fefb9b77dc64be309d0001177c5172d34f585
|
| 3 |
+
size 218138576
|
second_run_dpo/model/checkpoint-100/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e9c24b5e0899a744157c133d934df84245c23884d3340d45f028a7668027e564
|
| 3 |
+
size 1511285882
|
second_run_dpo/model/checkpoint-100/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
|
| 3 |
+
size 14244
|
second_run_dpo/model/checkpoint-100/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:329c12cb5a53e925e5e134cc6bcabcf38425643325df07365f1c6f110adf931b
|
| 3 |
+
size 1064
|
second_run_dpo/model/checkpoint-100/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
second_run_dpo/model/checkpoint-100/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
second_run_dpo/model/checkpoint-100/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
second_run_dpo/model/checkpoint-100/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
second_run_dpo/model/checkpoint-100/trainer_state.json
ADDED
|
@@ -0,0 +1,183 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.4214963119072708,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 100,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.04214963119072708,
|
| 13 |
+
"grad_norm": 54.265682220458984,
|
| 14 |
+
"learning_rate": 4.789029535864979e-06,
|
| 15 |
+
"logits/chosen": -3.230823516845703,
|
| 16 |
+
"logits/rejected": -3.1391842365264893,
|
| 17 |
+
"logps/chosen": -155.92660522460938,
|
| 18 |
+
"logps/rejected": -108.29136657714844,
|
| 19 |
+
"loss": 0.8901,
|
| 20 |
+
"rewards/accuracies": 0.625,
|
| 21 |
+
"rewards/chosen": 0.2371383160352707,
|
| 22 |
+
"rewards/margins": 0.4253893494606018,
|
| 23 |
+
"rewards/rejected": -0.18825098872184753,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.08429926238145416,
|
| 28 |
+
"grad_norm": 0.18127574026584625,
|
| 29 |
+
"learning_rate": 4.578059071729958e-06,
|
| 30 |
+
"logits/chosen": -3.2088217735290527,
|
| 31 |
+
"logits/rejected": -3.1587116718292236,
|
| 32 |
+
"logps/chosen": -133.78977966308594,
|
| 33 |
+
"logps/rejected": -120.8590087890625,
|
| 34 |
+
"loss": 0.0638,
|
| 35 |
+
"rewards/accuracies": 0.925000011920929,
|
| 36 |
+
"rewards/chosen": 3.8257803916931152,
|
| 37 |
+
"rewards/margins": 5.4808030128479,
|
| 38 |
+
"rewards/rejected": -1.655022382736206,
|
| 39 |
+
"step": 20
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.12644889357218125,
|
| 43 |
+
"grad_norm": 0.008206675760447979,
|
| 44 |
+
"learning_rate": 4.367088607594937e-06,
|
| 45 |
+
"logits/chosen": -3.157487392425537,
|
| 46 |
+
"logits/rejected": -3.1080830097198486,
|
| 47 |
+
"logps/chosen": -137.19386291503906,
|
| 48 |
+
"logps/rejected": -148.9159393310547,
|
| 49 |
+
"loss": 0.0348,
|
| 50 |
+
"rewards/accuracies": 0.949999988079071,
|
| 51 |
+
"rewards/chosen": 4.677396774291992,
|
| 52 |
+
"rewards/margins": 10.149096488952637,
|
| 53 |
+
"rewards/rejected": -5.4716997146606445,
|
| 54 |
+
"step": 30
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 0.16859852476290832,
|
| 58 |
+
"grad_norm": 25.140769958496094,
|
| 59 |
+
"learning_rate": 4.156118143459915e-06,
|
| 60 |
+
"logits/chosen": -3.146048069000244,
|
| 61 |
+
"logits/rejected": -3.095085382461548,
|
| 62 |
+
"logps/chosen": -126.72493743896484,
|
| 63 |
+
"logps/rejected": -149.604248046875,
|
| 64 |
+
"loss": 0.0575,
|
| 65 |
+
"rewards/accuracies": 0.925000011920929,
|
| 66 |
+
"rewards/chosen": 5.172249794006348,
|
| 67 |
+
"rewards/margins": 11.624964714050293,
|
| 68 |
+
"rewards/rejected": -6.452713966369629,
|
| 69 |
+
"step": 40
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.2107481559536354,
|
| 73 |
+
"grad_norm": 0.00036443868884816766,
|
| 74 |
+
"learning_rate": 3.945147679324895e-06,
|
| 75 |
+
"logits/chosen": -3.125558853149414,
|
| 76 |
+
"logits/rejected": -3.073667526245117,
|
| 77 |
+
"logps/chosen": -126.54759216308594,
|
| 78 |
+
"logps/rejected": -154.06100463867188,
|
| 79 |
+
"loss": 0.0607,
|
| 80 |
+
"rewards/accuracies": 0.9125000238418579,
|
| 81 |
+
"rewards/chosen": 5.867059230804443,
|
| 82 |
+
"rewards/margins": 12.704333305358887,
|
| 83 |
+
"rewards/rejected": -6.837274074554443,
|
| 84 |
+
"step": 50
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 0.2528977871443625,
|
| 88 |
+
"grad_norm": 0.0066557377576828,
|
| 89 |
+
"learning_rate": 3.7341772151898737e-06,
|
| 90 |
+
"logits/chosen": -3.1266560554504395,
|
| 91 |
+
"logits/rejected": -3.0419058799743652,
|
| 92 |
+
"logps/chosen": -123.27961730957031,
|
| 93 |
+
"logps/rejected": -133.74404907226562,
|
| 94 |
+
"loss": 0.0762,
|
| 95 |
+
"rewards/accuracies": 0.8999999761581421,
|
| 96 |
+
"rewards/chosen": 5.405282497406006,
|
| 97 |
+
"rewards/margins": 9.596057891845703,
|
| 98 |
+
"rewards/rejected": -4.190774440765381,
|
| 99 |
+
"step": 60
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.2950474183350896,
|
| 103 |
+
"grad_norm": 5.82294225692749,
|
| 104 |
+
"learning_rate": 3.523206751054853e-06,
|
| 105 |
+
"logits/chosen": -3.134911298751831,
|
| 106 |
+
"logits/rejected": -3.0802435874938965,
|
| 107 |
+
"logps/chosen": -114.3982162475586,
|
| 108 |
+
"logps/rejected": -137.26548767089844,
|
| 109 |
+
"loss": 0.0676,
|
| 110 |
+
"rewards/accuracies": 0.9125000238418579,
|
| 111 |
+
"rewards/chosen": 5.872519493103027,
|
| 112 |
+
"rewards/margins": 10.642888069152832,
|
| 113 |
+
"rewards/rejected": -4.770368576049805,
|
| 114 |
+
"step": 70
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.33719704952581664,
|
| 118 |
+
"grad_norm": 0.005566390231251717,
|
| 119 |
+
"learning_rate": 3.3122362869198316e-06,
|
| 120 |
+
"logits/chosen": -3.118222713470459,
|
| 121 |
+
"logits/rejected": -3.0644006729125977,
|
| 122 |
+
"logps/chosen": -110.6181411743164,
|
| 123 |
+
"logps/rejected": -131.0067901611328,
|
| 124 |
+
"loss": 0.0867,
|
| 125 |
+
"rewards/accuracies": 0.875,
|
| 126 |
+
"rewards/chosen": 6.600110054016113,
|
| 127 |
+
"rewards/margins": 10.749144554138184,
|
| 128 |
+
"rewards/rejected": -4.149035453796387,
|
| 129 |
+
"step": 80
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.3793466807165437,
|
| 133 |
+
"grad_norm": 0.0022323213052004576,
|
| 134 |
+
"learning_rate": 3.10126582278481e-06,
|
| 135 |
+
"logits/chosen": -3.1222400665283203,
|
| 136 |
+
"logits/rejected": -3.0632846355438232,
|
| 137 |
+
"logps/chosen": -114.68511962890625,
|
| 138 |
+
"logps/rejected": -136.66403198242188,
|
| 139 |
+
"loss": 0.0522,
|
| 140 |
+
"rewards/accuracies": 0.925000011920929,
|
| 141 |
+
"rewards/chosen": 7.240682125091553,
|
| 142 |
+
"rewards/margins": 11.513819694519043,
|
| 143 |
+
"rewards/rejected": -4.273137092590332,
|
| 144 |
+
"step": 90
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.4214963119072708,
|
| 148 |
+
"grad_norm": 0.0042571211233735085,
|
| 149 |
+
"learning_rate": 2.8902953586497895e-06,
|
| 150 |
+
"logits/chosen": -3.0972230434417725,
|
| 151 |
+
"logits/rejected": -3.047482490539551,
|
| 152 |
+
"logps/chosen": -104.4890365600586,
|
| 153 |
+
"logps/rejected": -127.5343246459961,
|
| 154 |
+
"loss": 0.104,
|
| 155 |
+
"rewards/accuracies": 0.8500000238418579,
|
| 156 |
+
"rewards/chosen": 7.045135498046875,
|
| 157 |
+
"rewards/margins": 11.117444038391113,
|
| 158 |
+
"rewards/rejected": -4.07230806350708,
|
| 159 |
+
"step": 100
|
| 160 |
+
}
|
| 161 |
+
],
|
| 162 |
+
"logging_steps": 10,
|
| 163 |
+
"max_steps": 237,
|
| 164 |
+
"num_input_tokens_seen": 0,
|
| 165 |
+
"num_train_epochs": 1,
|
| 166 |
+
"save_steps": 50,
|
| 167 |
+
"stateful_callbacks": {
|
| 168 |
+
"TrainerControl": {
|
| 169 |
+
"args": {
|
| 170 |
+
"should_epoch_stop": false,
|
| 171 |
+
"should_evaluate": false,
|
| 172 |
+
"should_log": false,
|
| 173 |
+
"should_save": true,
|
| 174 |
+
"should_training_stop": false
|
| 175 |
+
},
|
| 176 |
+
"attributes": {}
|
| 177 |
+
}
|
| 178 |
+
},
|
| 179 |
+
"total_flos": 0.0,
|
| 180 |
+
"train_batch_size": 2,
|
| 181 |
+
"trial_name": null,
|
| 182 |
+
"trial_params": null
|
| 183 |
+
}
|
second_run_dpo/model/checkpoint-100/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:30cd87144cef67ea1dc1be92b1a808040175102b9708a50175edca8393637ce2
|
| 3 |
+
size 5944
|
second_run_dpo/model/checkpoint-150/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 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 0.12.1.dev0
|
second_run_dpo/model/checkpoint-150/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0.1,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"v_proj",
|
| 25 |
+
"k_proj",
|
| 26 |
+
"o_proj"
|
| 27 |
+
],
|
| 28 |
+
"task_type": "CAUSAL_LM",
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
second_run_dpo/model/checkpoint-150/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3b259fe592eef289641cc95ae6a96a350eccdd14e7cede0320e38376afec9659
|
| 3 |
+
size 218138576
|
second_run_dpo/model/checkpoint-150/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d692788e7dc22e1e825548e7c26a949802fb8f13c0e03f6442bccb6cad20e4eb
|
| 3 |
+
size 1511285882
|
second_run_dpo/model/checkpoint-150/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
|
| 3 |
+
size 14244
|
second_run_dpo/model/checkpoint-150/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec764fee333a791ccb3c2fa4e2889206cb1a013c0403a368d2f7a9344f06a0d2
|
| 3 |
+
size 1064
|
second_run_dpo/model/checkpoint-150/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
second_run_dpo/model/checkpoint-150/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
second_run_dpo/model/checkpoint-150/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
second_run_dpo/model/checkpoint-150/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
second_run_dpo/model/checkpoint-150/trainer_state.json
ADDED
|
@@ -0,0 +1,258 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.6322444678609063,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 150,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.04214963119072708,
|
| 13 |
+
"grad_norm": 54.265682220458984,
|
| 14 |
+
"learning_rate": 4.789029535864979e-06,
|
| 15 |
+
"logits/chosen": -3.230823516845703,
|
| 16 |
+
"logits/rejected": -3.1391842365264893,
|
| 17 |
+
"logps/chosen": -155.92660522460938,
|
| 18 |
+
"logps/rejected": -108.29136657714844,
|
| 19 |
+
"loss": 0.8901,
|
| 20 |
+
"rewards/accuracies": 0.625,
|
| 21 |
+
"rewards/chosen": 0.2371383160352707,
|
| 22 |
+
"rewards/margins": 0.4253893494606018,
|
| 23 |
+
"rewards/rejected": -0.18825098872184753,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.08429926238145416,
|
| 28 |
+
"grad_norm": 0.18127574026584625,
|
| 29 |
+
"learning_rate": 4.578059071729958e-06,
|
| 30 |
+
"logits/chosen": -3.2088217735290527,
|
| 31 |
+
"logits/rejected": -3.1587116718292236,
|
| 32 |
+
"logps/chosen": -133.78977966308594,
|
| 33 |
+
"logps/rejected": -120.8590087890625,
|
| 34 |
+
"loss": 0.0638,
|
| 35 |
+
"rewards/accuracies": 0.925000011920929,
|
| 36 |
+
"rewards/chosen": 3.8257803916931152,
|
| 37 |
+
"rewards/margins": 5.4808030128479,
|
| 38 |
+
"rewards/rejected": -1.655022382736206,
|
| 39 |
+
"step": 20
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.12644889357218125,
|
| 43 |
+
"grad_norm": 0.008206675760447979,
|
| 44 |
+
"learning_rate": 4.367088607594937e-06,
|
| 45 |
+
"logits/chosen": -3.157487392425537,
|
| 46 |
+
"logits/rejected": -3.1080830097198486,
|
| 47 |
+
"logps/chosen": -137.19386291503906,
|
| 48 |
+
"logps/rejected": -148.9159393310547,
|
| 49 |
+
"loss": 0.0348,
|
| 50 |
+
"rewards/accuracies": 0.949999988079071,
|
| 51 |
+
"rewards/chosen": 4.677396774291992,
|
| 52 |
+
"rewards/margins": 10.149096488952637,
|
| 53 |
+
"rewards/rejected": -5.4716997146606445,
|
| 54 |
+
"step": 30
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 0.16859852476290832,
|
| 58 |
+
"grad_norm": 25.140769958496094,
|
| 59 |
+
"learning_rate": 4.156118143459915e-06,
|
| 60 |
+
"logits/chosen": -3.146048069000244,
|
| 61 |
+
"logits/rejected": -3.095085382461548,
|
| 62 |
+
"logps/chosen": -126.72493743896484,
|
| 63 |
+
"logps/rejected": -149.604248046875,
|
| 64 |
+
"loss": 0.0575,
|
| 65 |
+
"rewards/accuracies": 0.925000011920929,
|
| 66 |
+
"rewards/chosen": 5.172249794006348,
|
| 67 |
+
"rewards/margins": 11.624964714050293,
|
| 68 |
+
"rewards/rejected": -6.452713966369629,
|
| 69 |
+
"step": 40
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.2107481559536354,
|
| 73 |
+
"grad_norm": 0.00036443868884816766,
|
| 74 |
+
"learning_rate": 3.945147679324895e-06,
|
| 75 |
+
"logits/chosen": -3.125558853149414,
|
| 76 |
+
"logits/rejected": -3.073667526245117,
|
| 77 |
+
"logps/chosen": -126.54759216308594,
|
| 78 |
+
"logps/rejected": -154.06100463867188,
|
| 79 |
+
"loss": 0.0607,
|
| 80 |
+
"rewards/accuracies": 0.9125000238418579,
|
| 81 |
+
"rewards/chosen": 5.867059230804443,
|
| 82 |
+
"rewards/margins": 12.704333305358887,
|
| 83 |
+
"rewards/rejected": -6.837274074554443,
|
| 84 |
+
"step": 50
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 0.2528977871443625,
|
| 88 |
+
"grad_norm": 0.0066557377576828,
|
| 89 |
+
"learning_rate": 3.7341772151898737e-06,
|
| 90 |
+
"logits/chosen": -3.1266560554504395,
|
| 91 |
+
"logits/rejected": -3.0419058799743652,
|
| 92 |
+
"logps/chosen": -123.27961730957031,
|
| 93 |
+
"logps/rejected": -133.74404907226562,
|
| 94 |
+
"loss": 0.0762,
|
| 95 |
+
"rewards/accuracies": 0.8999999761581421,
|
| 96 |
+
"rewards/chosen": 5.405282497406006,
|
| 97 |
+
"rewards/margins": 9.596057891845703,
|
| 98 |
+
"rewards/rejected": -4.190774440765381,
|
| 99 |
+
"step": 60
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.2950474183350896,
|
| 103 |
+
"grad_norm": 5.82294225692749,
|
| 104 |
+
"learning_rate": 3.523206751054853e-06,
|
| 105 |
+
"logits/chosen": -3.134911298751831,
|
| 106 |
+
"logits/rejected": -3.0802435874938965,
|
| 107 |
+
"logps/chosen": -114.3982162475586,
|
| 108 |
+
"logps/rejected": -137.26548767089844,
|
| 109 |
+
"loss": 0.0676,
|
| 110 |
+
"rewards/accuracies": 0.9125000238418579,
|
| 111 |
+
"rewards/chosen": 5.872519493103027,
|
| 112 |
+
"rewards/margins": 10.642888069152832,
|
| 113 |
+
"rewards/rejected": -4.770368576049805,
|
| 114 |
+
"step": 70
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.33719704952581664,
|
| 118 |
+
"grad_norm": 0.005566390231251717,
|
| 119 |
+
"learning_rate": 3.3122362869198316e-06,
|
| 120 |
+
"logits/chosen": -3.118222713470459,
|
| 121 |
+
"logits/rejected": -3.0644006729125977,
|
| 122 |
+
"logps/chosen": -110.6181411743164,
|
| 123 |
+
"logps/rejected": -131.0067901611328,
|
| 124 |
+
"loss": 0.0867,
|
| 125 |
+
"rewards/accuracies": 0.875,
|
| 126 |
+
"rewards/chosen": 6.600110054016113,
|
| 127 |
+
"rewards/margins": 10.749144554138184,
|
| 128 |
+
"rewards/rejected": -4.149035453796387,
|
| 129 |
+
"step": 80
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.3793466807165437,
|
| 133 |
+
"grad_norm": 0.0022323213052004576,
|
| 134 |
+
"learning_rate": 3.10126582278481e-06,
|
| 135 |
+
"logits/chosen": -3.1222400665283203,
|
| 136 |
+
"logits/rejected": -3.0632846355438232,
|
| 137 |
+
"logps/chosen": -114.68511962890625,
|
| 138 |
+
"logps/rejected": -136.66403198242188,
|
| 139 |
+
"loss": 0.0522,
|
| 140 |
+
"rewards/accuracies": 0.925000011920929,
|
| 141 |
+
"rewards/chosen": 7.240682125091553,
|
| 142 |
+
"rewards/margins": 11.513819694519043,
|
| 143 |
+
"rewards/rejected": -4.273137092590332,
|
| 144 |
+
"step": 90
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.4214963119072708,
|
| 148 |
+
"grad_norm": 0.0042571211233735085,
|
| 149 |
+
"learning_rate": 2.8902953586497895e-06,
|
| 150 |
+
"logits/chosen": -3.0972230434417725,
|
| 151 |
+
"logits/rejected": -3.047482490539551,
|
| 152 |
+
"logps/chosen": -104.4890365600586,
|
| 153 |
+
"logps/rejected": -127.5343246459961,
|
| 154 |
+
"loss": 0.104,
|
| 155 |
+
"rewards/accuracies": 0.8500000238418579,
|
| 156 |
+
"rewards/chosen": 7.045135498046875,
|
| 157 |
+
"rewards/margins": 11.117444038391113,
|
| 158 |
+
"rewards/rejected": -4.07230806350708,
|
| 159 |
+
"step": 100
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.4636459430979979,
|
| 163 |
+
"grad_norm": 0.010770019143819809,
|
| 164 |
+
"learning_rate": 2.679324894514768e-06,
|
| 165 |
+
"logits/chosen": -3.084117889404297,
|
| 166 |
+
"logits/rejected": -3.0263478755950928,
|
| 167 |
+
"logps/chosen": -109.60150146484375,
|
| 168 |
+
"logps/rejected": -138.71580505371094,
|
| 169 |
+
"loss": 0.0461,
|
| 170 |
+
"rewards/accuracies": 0.9375,
|
| 171 |
+
"rewards/chosen": 7.922713279724121,
|
| 172 |
+
"rewards/margins": 12.225544929504395,
|
| 173 |
+
"rewards/rejected": -4.302830696105957,
|
| 174 |
+
"step": 110
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 0.505795574288725,
|
| 178 |
+
"grad_norm": 0.03155478835105896,
|
| 179 |
+
"learning_rate": 2.4683544303797473e-06,
|
| 180 |
+
"logits/chosen": -3.0575947761535645,
|
| 181 |
+
"logits/rejected": -3.00960111618042,
|
| 182 |
+
"logps/chosen": -98.39952850341797,
|
| 183 |
+
"logps/rejected": -125.97001647949219,
|
| 184 |
+
"loss": 0.0968,
|
| 185 |
+
"rewards/accuracies": 0.862500011920929,
|
| 186 |
+
"rewards/chosen": 7.3856916427612305,
|
| 187 |
+
"rewards/margins": 11.279303550720215,
|
| 188 |
+
"rewards/rejected": -3.8936104774475098,
|
| 189 |
+
"step": 120
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.547945205479452,
|
| 193 |
+
"grad_norm": 0.0017593610100448132,
|
| 194 |
+
"learning_rate": 2.257383966244726e-06,
|
| 195 |
+
"logits/chosen": -3.0633864402770996,
|
| 196 |
+
"logits/rejected": -3.003227710723877,
|
| 197 |
+
"logps/chosen": -112.51448822021484,
|
| 198 |
+
"logps/rejected": -144.1097412109375,
|
| 199 |
+
"loss": 0.026,
|
| 200 |
+
"rewards/accuracies": 0.9624999761581421,
|
| 201 |
+
"rewards/chosen": 8.68992805480957,
|
| 202 |
+
"rewards/margins": 13.341931343078613,
|
| 203 |
+
"rewards/rejected": -4.652005195617676,
|
| 204 |
+
"step": 130
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 0.5900948366701791,
|
| 208 |
+
"grad_norm": 0.032057471573352814,
|
| 209 |
+
"learning_rate": 2.046413502109705e-06,
|
| 210 |
+
"logits/chosen": -3.0402822494506836,
|
| 211 |
+
"logits/rejected": -2.9848685264587402,
|
| 212 |
+
"logps/chosen": -109.23091888427734,
|
| 213 |
+
"logps/rejected": -137.82015991210938,
|
| 214 |
+
"loss": 0.0521,
|
| 215 |
+
"rewards/accuracies": 0.925000011920929,
|
| 216 |
+
"rewards/chosen": 8.288289070129395,
|
| 217 |
+
"rewards/margins": 12.732525825500488,
|
| 218 |
+
"rewards/rejected": -4.44423770904541,
|
| 219 |
+
"step": 140
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.6322444678609063,
|
| 223 |
+
"grad_norm": 0.0025352409575134516,
|
| 224 |
+
"learning_rate": 1.8354430379746838e-06,
|
| 225 |
+
"logits/chosen": -3.0412521362304688,
|
| 226 |
+
"logits/rejected": -2.9849700927734375,
|
| 227 |
+
"logps/chosen": -103.49588775634766,
|
| 228 |
+
"logps/rejected": -131.9301300048828,
|
| 229 |
+
"loss": 0.0781,
|
| 230 |
+
"rewards/accuracies": 0.887499988079071,
|
| 231 |
+
"rewards/chosen": 8.078404426574707,
|
| 232 |
+
"rewards/margins": 12.365747451782227,
|
| 233 |
+
"rewards/rejected": -4.287342071533203,
|
| 234 |
+
"step": 150
|
| 235 |
+
}
|
| 236 |
+
],
|
| 237 |
+
"logging_steps": 10,
|
| 238 |
+
"max_steps": 237,
|
| 239 |
+
"num_input_tokens_seen": 0,
|
| 240 |
+
"num_train_epochs": 1,
|
| 241 |
+
"save_steps": 50,
|
| 242 |
+
"stateful_callbacks": {
|
| 243 |
+
"TrainerControl": {
|
| 244 |
+
"args": {
|
| 245 |
+
"should_epoch_stop": false,
|
| 246 |
+
"should_evaluate": false,
|
| 247 |
+
"should_log": false,
|
| 248 |
+
"should_save": true,
|
| 249 |
+
"should_training_stop": false
|
| 250 |
+
},
|
| 251 |
+
"attributes": {}
|
| 252 |
+
}
|
| 253 |
+
},
|
| 254 |
+
"total_flos": 0.0,
|
| 255 |
+
"train_batch_size": 2,
|
| 256 |
+
"trial_name": null,
|
| 257 |
+
"trial_params": null
|
| 258 |
+
}
|
second_run_dpo/model/checkpoint-150/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:30cd87144cef67ea1dc1be92b1a808040175102b9708a50175edca8393637ce2
|
| 3 |
+
size 5944
|
second_run_dpo/model/checkpoint-200/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 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 0.12.1.dev0
|
second_run_dpo/model/checkpoint-200/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0.1,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"v_proj",
|
| 25 |
+
"k_proj",
|
| 26 |
+
"o_proj"
|
| 27 |
+
],
|
| 28 |
+
"task_type": "CAUSAL_LM",
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
second_run_dpo/model/checkpoint-200/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c1eb2458736060d2897a06b602df5ded34b870fd6b2b9bb56e46c3dd01174617
|
| 3 |
+
size 218138576
|
second_run_dpo/model/checkpoint-200/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac308bbb0b85906a2d3553d8569ce5a0499b9afb8bfce4e2738aa1cec8f34f49
|
| 3 |
+
size 1511285882
|
second_run_dpo/model/checkpoint-200/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
|
| 3 |
+
size 14244
|
second_run_dpo/model/checkpoint-200/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d1cd8e9027f2241499093d395717a6007aad3b8ae633e6b192fd1c031d3edc30
|
| 3 |
+
size 1064
|
second_run_dpo/model/checkpoint-200/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
second_run_dpo/model/checkpoint-200/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
second_run_dpo/model/checkpoint-200/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
second_run_dpo/model/checkpoint-200/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
second_run_dpo/model/checkpoint-200/trainer_state.json
ADDED
|
@@ -0,0 +1,333 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.8429926238145417,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 200,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.04214963119072708,
|
| 13 |
+
"grad_norm": 54.265682220458984,
|
| 14 |
+
"learning_rate": 4.789029535864979e-06,
|
| 15 |
+
"logits/chosen": -3.230823516845703,
|
| 16 |
+
"logits/rejected": -3.1391842365264893,
|
| 17 |
+
"logps/chosen": -155.92660522460938,
|
| 18 |
+
"logps/rejected": -108.29136657714844,
|
| 19 |
+
"loss": 0.8901,
|
| 20 |
+
"rewards/accuracies": 0.625,
|
| 21 |
+
"rewards/chosen": 0.2371383160352707,
|
| 22 |
+
"rewards/margins": 0.4253893494606018,
|
| 23 |
+
"rewards/rejected": -0.18825098872184753,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.08429926238145416,
|
| 28 |
+
"grad_norm": 0.18127574026584625,
|
| 29 |
+
"learning_rate": 4.578059071729958e-06,
|
| 30 |
+
"logits/chosen": -3.2088217735290527,
|
| 31 |
+
"logits/rejected": -3.1587116718292236,
|
| 32 |
+
"logps/chosen": -133.78977966308594,
|
| 33 |
+
"logps/rejected": -120.8590087890625,
|
| 34 |
+
"loss": 0.0638,
|
| 35 |
+
"rewards/accuracies": 0.925000011920929,
|
| 36 |
+
"rewards/chosen": 3.8257803916931152,
|
| 37 |
+
"rewards/margins": 5.4808030128479,
|
| 38 |
+
"rewards/rejected": -1.655022382736206,
|
| 39 |
+
"step": 20
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.12644889357218125,
|
| 43 |
+
"grad_norm": 0.008206675760447979,
|
| 44 |
+
"learning_rate": 4.367088607594937e-06,
|
| 45 |
+
"logits/chosen": -3.157487392425537,
|
| 46 |
+
"logits/rejected": -3.1080830097198486,
|
| 47 |
+
"logps/chosen": -137.19386291503906,
|
| 48 |
+
"logps/rejected": -148.9159393310547,
|
| 49 |
+
"loss": 0.0348,
|
| 50 |
+
"rewards/accuracies": 0.949999988079071,
|
| 51 |
+
"rewards/chosen": 4.677396774291992,
|
| 52 |
+
"rewards/margins": 10.149096488952637,
|
| 53 |
+
"rewards/rejected": -5.4716997146606445,
|
| 54 |
+
"step": 30
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 0.16859852476290832,
|
| 58 |
+
"grad_norm": 25.140769958496094,
|
| 59 |
+
"learning_rate": 4.156118143459915e-06,
|
| 60 |
+
"logits/chosen": -3.146048069000244,
|
| 61 |
+
"logits/rejected": -3.095085382461548,
|
| 62 |
+
"logps/chosen": -126.72493743896484,
|
| 63 |
+
"logps/rejected": -149.604248046875,
|
| 64 |
+
"loss": 0.0575,
|
| 65 |
+
"rewards/accuracies": 0.925000011920929,
|
| 66 |
+
"rewards/chosen": 5.172249794006348,
|
| 67 |
+
"rewards/margins": 11.624964714050293,
|
| 68 |
+
"rewards/rejected": -6.452713966369629,
|
| 69 |
+
"step": 40
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.2107481559536354,
|
| 73 |
+
"grad_norm": 0.00036443868884816766,
|
| 74 |
+
"learning_rate": 3.945147679324895e-06,
|
| 75 |
+
"logits/chosen": -3.125558853149414,
|
| 76 |
+
"logits/rejected": -3.073667526245117,
|
| 77 |
+
"logps/chosen": -126.54759216308594,
|
| 78 |
+
"logps/rejected": -154.06100463867188,
|
| 79 |
+
"loss": 0.0607,
|
| 80 |
+
"rewards/accuracies": 0.9125000238418579,
|
| 81 |
+
"rewards/chosen": 5.867059230804443,
|
| 82 |
+
"rewards/margins": 12.704333305358887,
|
| 83 |
+
"rewards/rejected": -6.837274074554443,
|
| 84 |
+
"step": 50
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 0.2528977871443625,
|
| 88 |
+
"grad_norm": 0.0066557377576828,
|
| 89 |
+
"learning_rate": 3.7341772151898737e-06,
|
| 90 |
+
"logits/chosen": -3.1266560554504395,
|
| 91 |
+
"logits/rejected": -3.0419058799743652,
|
| 92 |
+
"logps/chosen": -123.27961730957031,
|
| 93 |
+
"logps/rejected": -133.74404907226562,
|
| 94 |
+
"loss": 0.0762,
|
| 95 |
+
"rewards/accuracies": 0.8999999761581421,
|
| 96 |
+
"rewards/chosen": 5.405282497406006,
|
| 97 |
+
"rewards/margins": 9.596057891845703,
|
| 98 |
+
"rewards/rejected": -4.190774440765381,
|
| 99 |
+
"step": 60
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.2950474183350896,
|
| 103 |
+
"grad_norm": 5.82294225692749,
|
| 104 |
+
"learning_rate": 3.523206751054853e-06,
|
| 105 |
+
"logits/chosen": -3.134911298751831,
|
| 106 |
+
"logits/rejected": -3.0802435874938965,
|
| 107 |
+
"logps/chosen": -114.3982162475586,
|
| 108 |
+
"logps/rejected": -137.26548767089844,
|
| 109 |
+
"loss": 0.0676,
|
| 110 |
+
"rewards/accuracies": 0.9125000238418579,
|
| 111 |
+
"rewards/chosen": 5.872519493103027,
|
| 112 |
+
"rewards/margins": 10.642888069152832,
|
| 113 |
+
"rewards/rejected": -4.770368576049805,
|
| 114 |
+
"step": 70
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.33719704952581664,
|
| 118 |
+
"grad_norm": 0.005566390231251717,
|
| 119 |
+
"learning_rate": 3.3122362869198316e-06,
|
| 120 |
+
"logits/chosen": -3.118222713470459,
|
| 121 |
+
"logits/rejected": -3.0644006729125977,
|
| 122 |
+
"logps/chosen": -110.6181411743164,
|
| 123 |
+
"logps/rejected": -131.0067901611328,
|
| 124 |
+
"loss": 0.0867,
|
| 125 |
+
"rewards/accuracies": 0.875,
|
| 126 |
+
"rewards/chosen": 6.600110054016113,
|
| 127 |
+
"rewards/margins": 10.749144554138184,
|
| 128 |
+
"rewards/rejected": -4.149035453796387,
|
| 129 |
+
"step": 80
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.3793466807165437,
|
| 133 |
+
"grad_norm": 0.0022323213052004576,
|
| 134 |
+
"learning_rate": 3.10126582278481e-06,
|
| 135 |
+
"logits/chosen": -3.1222400665283203,
|
| 136 |
+
"logits/rejected": -3.0632846355438232,
|
| 137 |
+
"logps/chosen": -114.68511962890625,
|
| 138 |
+
"logps/rejected": -136.66403198242188,
|
| 139 |
+
"loss": 0.0522,
|
| 140 |
+
"rewards/accuracies": 0.925000011920929,
|
| 141 |
+
"rewards/chosen": 7.240682125091553,
|
| 142 |
+
"rewards/margins": 11.513819694519043,
|
| 143 |
+
"rewards/rejected": -4.273137092590332,
|
| 144 |
+
"step": 90
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.4214963119072708,
|
| 148 |
+
"grad_norm": 0.0042571211233735085,
|
| 149 |
+
"learning_rate": 2.8902953586497895e-06,
|
| 150 |
+
"logits/chosen": -3.0972230434417725,
|
| 151 |
+
"logits/rejected": -3.047482490539551,
|
| 152 |
+
"logps/chosen": -104.4890365600586,
|
| 153 |
+
"logps/rejected": -127.5343246459961,
|
| 154 |
+
"loss": 0.104,
|
| 155 |
+
"rewards/accuracies": 0.8500000238418579,
|
| 156 |
+
"rewards/chosen": 7.045135498046875,
|
| 157 |
+
"rewards/margins": 11.117444038391113,
|
| 158 |
+
"rewards/rejected": -4.07230806350708,
|
| 159 |
+
"step": 100
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.4636459430979979,
|
| 163 |
+
"grad_norm": 0.010770019143819809,
|
| 164 |
+
"learning_rate": 2.679324894514768e-06,
|
| 165 |
+
"logits/chosen": -3.084117889404297,
|
| 166 |
+
"logits/rejected": -3.0263478755950928,
|
| 167 |
+
"logps/chosen": -109.60150146484375,
|
| 168 |
+
"logps/rejected": -138.71580505371094,
|
| 169 |
+
"loss": 0.0461,
|
| 170 |
+
"rewards/accuracies": 0.9375,
|
| 171 |
+
"rewards/chosen": 7.922713279724121,
|
| 172 |
+
"rewards/margins": 12.225544929504395,
|
| 173 |
+
"rewards/rejected": -4.302830696105957,
|
| 174 |
+
"step": 110
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 0.505795574288725,
|
| 178 |
+
"grad_norm": 0.03155478835105896,
|
| 179 |
+
"learning_rate": 2.4683544303797473e-06,
|
| 180 |
+
"logits/chosen": -3.0575947761535645,
|
| 181 |
+
"logits/rejected": -3.00960111618042,
|
| 182 |
+
"logps/chosen": -98.39952850341797,
|
| 183 |
+
"logps/rejected": -125.97001647949219,
|
| 184 |
+
"loss": 0.0968,
|
| 185 |
+
"rewards/accuracies": 0.862500011920929,
|
| 186 |
+
"rewards/chosen": 7.3856916427612305,
|
| 187 |
+
"rewards/margins": 11.279303550720215,
|
| 188 |
+
"rewards/rejected": -3.8936104774475098,
|
| 189 |
+
"step": 120
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.547945205479452,
|
| 193 |
+
"grad_norm": 0.0017593610100448132,
|
| 194 |
+
"learning_rate": 2.257383966244726e-06,
|
| 195 |
+
"logits/chosen": -3.0633864402770996,
|
| 196 |
+
"logits/rejected": -3.003227710723877,
|
| 197 |
+
"logps/chosen": -112.51448822021484,
|
| 198 |
+
"logps/rejected": -144.1097412109375,
|
| 199 |
+
"loss": 0.026,
|
| 200 |
+
"rewards/accuracies": 0.9624999761581421,
|
| 201 |
+
"rewards/chosen": 8.68992805480957,
|
| 202 |
+
"rewards/margins": 13.341931343078613,
|
| 203 |
+
"rewards/rejected": -4.652005195617676,
|
| 204 |
+
"step": 130
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 0.5900948366701791,
|
| 208 |
+
"grad_norm": 0.032057471573352814,
|
| 209 |
+
"learning_rate": 2.046413502109705e-06,
|
| 210 |
+
"logits/chosen": -3.0402822494506836,
|
| 211 |
+
"logits/rejected": -2.9848685264587402,
|
| 212 |
+
"logps/chosen": -109.23091888427734,
|
| 213 |
+
"logps/rejected": -137.82015991210938,
|
| 214 |
+
"loss": 0.0521,
|
| 215 |
+
"rewards/accuracies": 0.925000011920929,
|
| 216 |
+
"rewards/chosen": 8.288289070129395,
|
| 217 |
+
"rewards/margins": 12.732525825500488,
|
| 218 |
+
"rewards/rejected": -4.44423770904541,
|
| 219 |
+
"step": 140
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.6322444678609063,
|
| 223 |
+
"grad_norm": 0.0025352409575134516,
|
| 224 |
+
"learning_rate": 1.8354430379746838e-06,
|
| 225 |
+
"logits/chosen": -3.0412521362304688,
|
| 226 |
+
"logits/rejected": -2.9849700927734375,
|
| 227 |
+
"logps/chosen": -103.49588775634766,
|
| 228 |
+
"logps/rejected": -131.9301300048828,
|
| 229 |
+
"loss": 0.0781,
|
| 230 |
+
"rewards/accuracies": 0.887499988079071,
|
| 231 |
+
"rewards/chosen": 8.078404426574707,
|
| 232 |
+
"rewards/margins": 12.365747451782227,
|
| 233 |
+
"rewards/rejected": -4.287342071533203,
|
| 234 |
+
"step": 150
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.6743940990516333,
|
| 238 |
+
"grad_norm": 0.0029362805653363466,
|
| 239 |
+
"learning_rate": 1.6244725738396625e-06,
|
| 240 |
+
"logits/chosen": -3.030087947845459,
|
| 241 |
+
"logits/rejected": -2.977440595626831,
|
| 242 |
+
"logps/chosen": -101.0843734741211,
|
| 243 |
+
"logps/rejected": -132.79702758789062,
|
| 244 |
+
"loss": 0.0783,
|
| 245 |
+
"rewards/accuracies": 0.887499988079071,
|
| 246 |
+
"rewards/chosen": 7.972678184509277,
|
| 247 |
+
"rewards/margins": 12.395901679992676,
|
| 248 |
+
"rewards/rejected": -4.42322301864624,
|
| 249 |
+
"step": 160
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.7165437302423604,
|
| 253 |
+
"grad_norm": 0.30753812193870544,
|
| 254 |
+
"learning_rate": 1.4135021097046414e-06,
|
| 255 |
+
"logits/chosen": -3.030521869659424,
|
| 256 |
+
"logits/rejected": -2.9768686294555664,
|
| 257 |
+
"logps/chosen": -102.2951889038086,
|
| 258 |
+
"logps/rejected": -133.8944549560547,
|
| 259 |
+
"loss": 0.056,
|
| 260 |
+
"rewards/accuracies": 0.925000011920929,
|
| 261 |
+
"rewards/chosen": 8.018686294555664,
|
| 262 |
+
"rewards/margins": 12.17985725402832,
|
| 263 |
+
"rewards/rejected": -4.1611714363098145,
|
| 264 |
+
"step": 170
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.7586933614330874,
|
| 268 |
+
"grad_norm": 0.0034459459129720926,
|
| 269 |
+
"learning_rate": 1.2025316455696204e-06,
|
| 270 |
+
"logits/chosen": -3.019465923309326,
|
| 271 |
+
"logits/rejected": -2.9687447547912598,
|
| 272 |
+
"logps/chosen": -107.70234680175781,
|
| 273 |
+
"logps/rejected": -138.5956573486328,
|
| 274 |
+
"loss": 0.0434,
|
| 275 |
+
"rewards/accuracies": 0.9375,
|
| 276 |
+
"rewards/chosen": 8.414751052856445,
|
| 277 |
+
"rewards/margins": 12.751376152038574,
|
| 278 |
+
"rewards/rejected": -4.336625576019287,
|
| 279 |
+
"step": 180
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.8008429926238145,
|
| 283 |
+
"grad_norm": 0.001862135250121355,
|
| 284 |
+
"learning_rate": 9.915611814345991e-07,
|
| 285 |
+
"logits/chosen": -3.006066083908081,
|
| 286 |
+
"logits/rejected": -2.943457841873169,
|
| 287 |
+
"logps/chosen": -109.46881103515625,
|
| 288 |
+
"logps/rejected": -139.15029907226562,
|
| 289 |
+
"loss": 0.0433,
|
| 290 |
+
"rewards/accuracies": 0.9375,
|
| 291 |
+
"rewards/chosen": 8.667418479919434,
|
| 292 |
+
"rewards/margins": 12.866633415222168,
|
| 293 |
+
"rewards/rejected": -4.199214458465576,
|
| 294 |
+
"step": 190
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 0.8429926238145417,
|
| 298 |
+
"grad_norm": 0.001758416648954153,
|
| 299 |
+
"learning_rate": 7.805907172995782e-07,
|
| 300 |
+
"logits/chosen": -2.995535373687744,
|
| 301 |
+
"logits/rejected": -2.943047285079956,
|
| 302 |
+
"logps/chosen": -98.70401763916016,
|
| 303 |
+
"logps/rejected": -130.56216430664062,
|
| 304 |
+
"loss": 0.0866,
|
| 305 |
+
"rewards/accuracies": 0.875,
|
| 306 |
+
"rewards/chosen": 8.245943069458008,
|
| 307 |
+
"rewards/margins": 12.186595916748047,
|
| 308 |
+
"rewards/rejected": -3.9406521320343018,
|
| 309 |
+
"step": 200
|
| 310 |
+
}
|
| 311 |
+
],
|
| 312 |
+
"logging_steps": 10,
|
| 313 |
+
"max_steps": 237,
|
| 314 |
+
"num_input_tokens_seen": 0,
|
| 315 |
+
"num_train_epochs": 1,
|
| 316 |
+
"save_steps": 50,
|
| 317 |
+
"stateful_callbacks": {
|
| 318 |
+
"TrainerControl": {
|
| 319 |
+
"args": {
|
| 320 |
+
"should_epoch_stop": false,
|
| 321 |
+
"should_evaluate": false,
|
| 322 |
+
"should_log": false,
|
| 323 |
+
"should_save": true,
|
| 324 |
+
"should_training_stop": false
|
| 325 |
+
},
|
| 326 |
+
"attributes": {}
|
| 327 |
+
}
|
| 328 |
+
},
|
| 329 |
+
"total_flos": 0.0,
|
| 330 |
+
"train_batch_size": 2,
|
| 331 |
+
"trial_name": null,
|
| 332 |
+
"trial_params": null
|
| 333 |
+
}
|
second_run_dpo/model/checkpoint-200/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:30cd87144cef67ea1dc1be92b1a808040175102b9708a50175edca8393637ce2
|
| 3 |
+
size 5944
|
second_run_dpo/model/checkpoint-237/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 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 0.12.1.dev0
|
second_run_dpo/model/checkpoint-237/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0.1,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"v_proj",
|
| 25 |
+
"k_proj",
|
| 26 |
+
"o_proj"
|
| 27 |
+
],
|
| 28 |
+
"task_type": "CAUSAL_LM",
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
second_run_dpo/model/checkpoint-237/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:92d63dd46155ee09134e2a478e57a91e155358c5d4e3326e72224e062dbb3db7
|
| 3 |
+
size 218138576
|
second_run_dpo/model/checkpoint-237/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:acda6ad6d9c0a5a311e160ef07e634d2c3fc720806f6036587fbd162877b6c7d
|
| 3 |
+
size 1511285882
|
second_run_dpo/model/checkpoint-237/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
|
| 3 |
+
size 14244
|
second_run_dpo/model/checkpoint-237/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3ade0a6cc3b8a8c2abce94feb4e1d48f24e163fd69b55fcc47a1ec5ac50e438f
|
| 3 |
+
size 1064
|
second_run_dpo/model/checkpoint-237/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
second_run_dpo/model/checkpoint-237/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
second_run_dpo/model/checkpoint-237/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
second_run_dpo/model/checkpoint-237/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
second_run_dpo/model/checkpoint-237/trainer_state.json
ADDED
|
@@ -0,0 +1,378 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9989462592202318,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 237,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.04214963119072708,
|
| 13 |
+
"grad_norm": 54.265682220458984,
|
| 14 |
+
"learning_rate": 4.789029535864979e-06,
|
| 15 |
+
"logits/chosen": -3.230823516845703,
|
| 16 |
+
"logits/rejected": -3.1391842365264893,
|
| 17 |
+
"logps/chosen": -155.92660522460938,
|
| 18 |
+
"logps/rejected": -108.29136657714844,
|
| 19 |
+
"loss": 0.8901,
|
| 20 |
+
"rewards/accuracies": 0.625,
|
| 21 |
+
"rewards/chosen": 0.2371383160352707,
|
| 22 |
+
"rewards/margins": 0.4253893494606018,
|
| 23 |
+
"rewards/rejected": -0.18825098872184753,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.08429926238145416,
|
| 28 |
+
"grad_norm": 0.18127574026584625,
|
| 29 |
+
"learning_rate": 4.578059071729958e-06,
|
| 30 |
+
"logits/chosen": -3.2088217735290527,
|
| 31 |
+
"logits/rejected": -3.1587116718292236,
|
| 32 |
+
"logps/chosen": -133.78977966308594,
|
| 33 |
+
"logps/rejected": -120.8590087890625,
|
| 34 |
+
"loss": 0.0638,
|
| 35 |
+
"rewards/accuracies": 0.925000011920929,
|
| 36 |
+
"rewards/chosen": 3.8257803916931152,
|
| 37 |
+
"rewards/margins": 5.4808030128479,
|
| 38 |
+
"rewards/rejected": -1.655022382736206,
|
| 39 |
+
"step": 20
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.12644889357218125,
|
| 43 |
+
"grad_norm": 0.008206675760447979,
|
| 44 |
+
"learning_rate": 4.367088607594937e-06,
|
| 45 |
+
"logits/chosen": -3.157487392425537,
|
| 46 |
+
"logits/rejected": -3.1080830097198486,
|
| 47 |
+
"logps/chosen": -137.19386291503906,
|
| 48 |
+
"logps/rejected": -148.9159393310547,
|
| 49 |
+
"loss": 0.0348,
|
| 50 |
+
"rewards/accuracies": 0.949999988079071,
|
| 51 |
+
"rewards/chosen": 4.677396774291992,
|
| 52 |
+
"rewards/margins": 10.149096488952637,
|
| 53 |
+
"rewards/rejected": -5.4716997146606445,
|
| 54 |
+
"step": 30
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 0.16859852476290832,
|
| 58 |
+
"grad_norm": 25.140769958496094,
|
| 59 |
+
"learning_rate": 4.156118143459915e-06,
|
| 60 |
+
"logits/chosen": -3.146048069000244,
|
| 61 |
+
"logits/rejected": -3.095085382461548,
|
| 62 |
+
"logps/chosen": -126.72493743896484,
|
| 63 |
+
"logps/rejected": -149.604248046875,
|
| 64 |
+
"loss": 0.0575,
|
| 65 |
+
"rewards/accuracies": 0.925000011920929,
|
| 66 |
+
"rewards/chosen": 5.172249794006348,
|
| 67 |
+
"rewards/margins": 11.624964714050293,
|
| 68 |
+
"rewards/rejected": -6.452713966369629,
|
| 69 |
+
"step": 40
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.2107481559536354,
|
| 73 |
+
"grad_norm": 0.00036443868884816766,
|
| 74 |
+
"learning_rate": 3.945147679324895e-06,
|
| 75 |
+
"logits/chosen": -3.125558853149414,
|
| 76 |
+
"logits/rejected": -3.073667526245117,
|
| 77 |
+
"logps/chosen": -126.54759216308594,
|
| 78 |
+
"logps/rejected": -154.06100463867188,
|
| 79 |
+
"loss": 0.0607,
|
| 80 |
+
"rewards/accuracies": 0.9125000238418579,
|
| 81 |
+
"rewards/chosen": 5.867059230804443,
|
| 82 |
+
"rewards/margins": 12.704333305358887,
|
| 83 |
+
"rewards/rejected": -6.837274074554443,
|
| 84 |
+
"step": 50
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 0.2528977871443625,
|
| 88 |
+
"grad_norm": 0.0066557377576828,
|
| 89 |
+
"learning_rate": 3.7341772151898737e-06,
|
| 90 |
+
"logits/chosen": -3.1266560554504395,
|
| 91 |
+
"logits/rejected": -3.0419058799743652,
|
| 92 |
+
"logps/chosen": -123.27961730957031,
|
| 93 |
+
"logps/rejected": -133.74404907226562,
|
| 94 |
+
"loss": 0.0762,
|
| 95 |
+
"rewards/accuracies": 0.8999999761581421,
|
| 96 |
+
"rewards/chosen": 5.405282497406006,
|
| 97 |
+
"rewards/margins": 9.596057891845703,
|
| 98 |
+
"rewards/rejected": -4.190774440765381,
|
| 99 |
+
"step": 60
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.2950474183350896,
|
| 103 |
+
"grad_norm": 5.82294225692749,
|
| 104 |
+
"learning_rate": 3.523206751054853e-06,
|
| 105 |
+
"logits/chosen": -3.134911298751831,
|
| 106 |
+
"logits/rejected": -3.0802435874938965,
|
| 107 |
+
"logps/chosen": -114.3982162475586,
|
| 108 |
+
"logps/rejected": -137.26548767089844,
|
| 109 |
+
"loss": 0.0676,
|
| 110 |
+
"rewards/accuracies": 0.9125000238418579,
|
| 111 |
+
"rewards/chosen": 5.872519493103027,
|
| 112 |
+
"rewards/margins": 10.642888069152832,
|
| 113 |
+
"rewards/rejected": -4.770368576049805,
|
| 114 |
+
"step": 70
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.33719704952581664,
|
| 118 |
+
"grad_norm": 0.005566390231251717,
|
| 119 |
+
"learning_rate": 3.3122362869198316e-06,
|
| 120 |
+
"logits/chosen": -3.118222713470459,
|
| 121 |
+
"logits/rejected": -3.0644006729125977,
|
| 122 |
+
"logps/chosen": -110.6181411743164,
|
| 123 |
+
"logps/rejected": -131.0067901611328,
|
| 124 |
+
"loss": 0.0867,
|
| 125 |
+
"rewards/accuracies": 0.875,
|
| 126 |
+
"rewards/chosen": 6.600110054016113,
|
| 127 |
+
"rewards/margins": 10.749144554138184,
|
| 128 |
+
"rewards/rejected": -4.149035453796387,
|
| 129 |
+
"step": 80
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.3793466807165437,
|
| 133 |
+
"grad_norm": 0.0022323213052004576,
|
| 134 |
+
"learning_rate": 3.10126582278481e-06,
|
| 135 |
+
"logits/chosen": -3.1222400665283203,
|
| 136 |
+
"logits/rejected": -3.0632846355438232,
|
| 137 |
+
"logps/chosen": -114.68511962890625,
|
| 138 |
+
"logps/rejected": -136.66403198242188,
|
| 139 |
+
"loss": 0.0522,
|
| 140 |
+
"rewards/accuracies": 0.925000011920929,
|
| 141 |
+
"rewards/chosen": 7.240682125091553,
|
| 142 |
+
"rewards/margins": 11.513819694519043,
|
| 143 |
+
"rewards/rejected": -4.273137092590332,
|
| 144 |
+
"step": 90
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.4214963119072708,
|
| 148 |
+
"grad_norm": 0.0042571211233735085,
|
| 149 |
+
"learning_rate": 2.8902953586497895e-06,
|
| 150 |
+
"logits/chosen": -3.0972230434417725,
|
| 151 |
+
"logits/rejected": -3.047482490539551,
|
| 152 |
+
"logps/chosen": -104.4890365600586,
|
| 153 |
+
"logps/rejected": -127.5343246459961,
|
| 154 |
+
"loss": 0.104,
|
| 155 |
+
"rewards/accuracies": 0.8500000238418579,
|
| 156 |
+
"rewards/chosen": 7.045135498046875,
|
| 157 |
+
"rewards/margins": 11.117444038391113,
|
| 158 |
+
"rewards/rejected": -4.07230806350708,
|
| 159 |
+
"step": 100
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.4636459430979979,
|
| 163 |
+
"grad_norm": 0.010770019143819809,
|
| 164 |
+
"learning_rate": 2.679324894514768e-06,
|
| 165 |
+
"logits/chosen": -3.084117889404297,
|
| 166 |
+
"logits/rejected": -3.0263478755950928,
|
| 167 |
+
"logps/chosen": -109.60150146484375,
|
| 168 |
+
"logps/rejected": -138.71580505371094,
|
| 169 |
+
"loss": 0.0461,
|
| 170 |
+
"rewards/accuracies": 0.9375,
|
| 171 |
+
"rewards/chosen": 7.922713279724121,
|
| 172 |
+
"rewards/margins": 12.225544929504395,
|
| 173 |
+
"rewards/rejected": -4.302830696105957,
|
| 174 |
+
"step": 110
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 0.505795574288725,
|
| 178 |
+
"grad_norm": 0.03155478835105896,
|
| 179 |
+
"learning_rate": 2.4683544303797473e-06,
|
| 180 |
+
"logits/chosen": -3.0575947761535645,
|
| 181 |
+
"logits/rejected": -3.00960111618042,
|
| 182 |
+
"logps/chosen": -98.39952850341797,
|
| 183 |
+
"logps/rejected": -125.97001647949219,
|
| 184 |
+
"loss": 0.0968,
|
| 185 |
+
"rewards/accuracies": 0.862500011920929,
|
| 186 |
+
"rewards/chosen": 7.3856916427612305,
|
| 187 |
+
"rewards/margins": 11.279303550720215,
|
| 188 |
+
"rewards/rejected": -3.8936104774475098,
|
| 189 |
+
"step": 120
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.547945205479452,
|
| 193 |
+
"grad_norm": 0.0017593610100448132,
|
| 194 |
+
"learning_rate": 2.257383966244726e-06,
|
| 195 |
+
"logits/chosen": -3.0633864402770996,
|
| 196 |
+
"logits/rejected": -3.003227710723877,
|
| 197 |
+
"logps/chosen": -112.51448822021484,
|
| 198 |
+
"logps/rejected": -144.1097412109375,
|
| 199 |
+
"loss": 0.026,
|
| 200 |
+
"rewards/accuracies": 0.9624999761581421,
|
| 201 |
+
"rewards/chosen": 8.68992805480957,
|
| 202 |
+
"rewards/margins": 13.341931343078613,
|
| 203 |
+
"rewards/rejected": -4.652005195617676,
|
| 204 |
+
"step": 130
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 0.5900948366701791,
|
| 208 |
+
"grad_norm": 0.032057471573352814,
|
| 209 |
+
"learning_rate": 2.046413502109705e-06,
|
| 210 |
+
"logits/chosen": -3.0402822494506836,
|
| 211 |
+
"logits/rejected": -2.9848685264587402,
|
| 212 |
+
"logps/chosen": -109.23091888427734,
|
| 213 |
+
"logps/rejected": -137.82015991210938,
|
| 214 |
+
"loss": 0.0521,
|
| 215 |
+
"rewards/accuracies": 0.925000011920929,
|
| 216 |
+
"rewards/chosen": 8.288289070129395,
|
| 217 |
+
"rewards/margins": 12.732525825500488,
|
| 218 |
+
"rewards/rejected": -4.44423770904541,
|
| 219 |
+
"step": 140
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.6322444678609063,
|
| 223 |
+
"grad_norm": 0.0025352409575134516,
|
| 224 |
+
"learning_rate": 1.8354430379746838e-06,
|
| 225 |
+
"logits/chosen": -3.0412521362304688,
|
| 226 |
+
"logits/rejected": -2.9849700927734375,
|
| 227 |
+
"logps/chosen": -103.49588775634766,
|
| 228 |
+
"logps/rejected": -131.9301300048828,
|
| 229 |
+
"loss": 0.0781,
|
| 230 |
+
"rewards/accuracies": 0.887499988079071,
|
| 231 |
+
"rewards/chosen": 8.078404426574707,
|
| 232 |
+
"rewards/margins": 12.365747451782227,
|
| 233 |
+
"rewards/rejected": -4.287342071533203,
|
| 234 |
+
"step": 150
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.6743940990516333,
|
| 238 |
+
"grad_norm": 0.0029362805653363466,
|
| 239 |
+
"learning_rate": 1.6244725738396625e-06,
|
| 240 |
+
"logits/chosen": -3.030087947845459,
|
| 241 |
+
"logits/rejected": -2.977440595626831,
|
| 242 |
+
"logps/chosen": -101.0843734741211,
|
| 243 |
+
"logps/rejected": -132.79702758789062,
|
| 244 |
+
"loss": 0.0783,
|
| 245 |
+
"rewards/accuracies": 0.887499988079071,
|
| 246 |
+
"rewards/chosen": 7.972678184509277,
|
| 247 |
+
"rewards/margins": 12.395901679992676,
|
| 248 |
+
"rewards/rejected": -4.42322301864624,
|
| 249 |
+
"step": 160
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.7165437302423604,
|
| 253 |
+
"grad_norm": 0.30753812193870544,
|
| 254 |
+
"learning_rate": 1.4135021097046414e-06,
|
| 255 |
+
"logits/chosen": -3.030521869659424,
|
| 256 |
+
"logits/rejected": -2.9768686294555664,
|
| 257 |
+
"logps/chosen": -102.2951889038086,
|
| 258 |
+
"logps/rejected": -133.8944549560547,
|
| 259 |
+
"loss": 0.056,
|
| 260 |
+
"rewards/accuracies": 0.925000011920929,
|
| 261 |
+
"rewards/chosen": 8.018686294555664,
|
| 262 |
+
"rewards/margins": 12.17985725402832,
|
| 263 |
+
"rewards/rejected": -4.1611714363098145,
|
| 264 |
+
"step": 170
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.7586933614330874,
|
| 268 |
+
"grad_norm": 0.0034459459129720926,
|
| 269 |
+
"learning_rate": 1.2025316455696204e-06,
|
| 270 |
+
"logits/chosen": -3.019465923309326,
|
| 271 |
+
"logits/rejected": -2.9687447547912598,
|
| 272 |
+
"logps/chosen": -107.70234680175781,
|
| 273 |
+
"logps/rejected": -138.5956573486328,
|
| 274 |
+
"loss": 0.0434,
|
| 275 |
+
"rewards/accuracies": 0.9375,
|
| 276 |
+
"rewards/chosen": 8.414751052856445,
|
| 277 |
+
"rewards/margins": 12.751376152038574,
|
| 278 |
+
"rewards/rejected": -4.336625576019287,
|
| 279 |
+
"step": 180
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.8008429926238145,
|
| 283 |
+
"grad_norm": 0.001862135250121355,
|
| 284 |
+
"learning_rate": 9.915611814345991e-07,
|
| 285 |
+
"logits/chosen": -3.006066083908081,
|
| 286 |
+
"logits/rejected": -2.943457841873169,
|
| 287 |
+
"logps/chosen": -109.46881103515625,
|
| 288 |
+
"logps/rejected": -139.15029907226562,
|
| 289 |
+
"loss": 0.0433,
|
| 290 |
+
"rewards/accuracies": 0.9375,
|
| 291 |
+
"rewards/chosen": 8.667418479919434,
|
| 292 |
+
"rewards/margins": 12.866633415222168,
|
| 293 |
+
"rewards/rejected": -4.199214458465576,
|
| 294 |
+
"step": 190
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 0.8429926238145417,
|
| 298 |
+
"grad_norm": 0.001758416648954153,
|
| 299 |
+
"learning_rate": 7.805907172995782e-07,
|
| 300 |
+
"logits/chosen": -2.995535373687744,
|
| 301 |
+
"logits/rejected": -2.943047285079956,
|
| 302 |
+
"logps/chosen": -98.70401763916016,
|
| 303 |
+
"logps/rejected": -130.56216430664062,
|
| 304 |
+
"loss": 0.0866,
|
| 305 |
+
"rewards/accuracies": 0.875,
|
| 306 |
+
"rewards/chosen": 8.245943069458008,
|
| 307 |
+
"rewards/margins": 12.186595916748047,
|
| 308 |
+
"rewards/rejected": -3.9406521320343018,
|
| 309 |
+
"step": 200
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 0.8851422550052687,
|
| 313 |
+
"grad_norm": 0.016159718856215477,
|
| 314 |
+
"learning_rate": 5.69620253164557e-07,
|
| 315 |
+
"logits/chosen": -3.003826856613159,
|
| 316 |
+
"logits/rejected": -2.944359302520752,
|
| 317 |
+
"logps/chosen": -114.41169738769531,
|
| 318 |
+
"logps/rejected": -147.23350524902344,
|
| 319 |
+
"loss": 0.0087,
|
| 320 |
+
"rewards/accuracies": 0.987500011920929,
|
| 321 |
+
"rewards/chosen": 9.045473098754883,
|
| 322 |
+
"rewards/margins": 13.605456352233887,
|
| 323 |
+
"rewards/rejected": -4.559983253479004,
|
| 324 |
+
"step": 210
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.9272918861959958,
|
| 328 |
+
"grad_norm": 0.0007629674510098994,
|
| 329 |
+
"learning_rate": 3.586497890295359e-07,
|
| 330 |
+
"logits/chosen": -3.0114877223968506,
|
| 331 |
+
"logits/rejected": -2.960176467895508,
|
| 332 |
+
"logps/chosen": -99.81551361083984,
|
| 333 |
+
"logps/rejected": -132.0089111328125,
|
| 334 |
+
"loss": 0.0694,
|
| 335 |
+
"rewards/accuracies": 0.8999999761581421,
|
| 336 |
+
"rewards/chosen": 8.368062973022461,
|
| 337 |
+
"rewards/margins": 12.364015579223633,
|
| 338 |
+
"rewards/rejected": -3.995953321456909,
|
| 339 |
+
"step": 220
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.9694415173867229,
|
| 343 |
+
"grad_norm": 0.5134130716323853,
|
| 344 |
+
"learning_rate": 1.4767932489451477e-07,
|
| 345 |
+
"logits/chosen": -3.0056204795837402,
|
| 346 |
+
"logits/rejected": -2.9448115825653076,
|
| 347 |
+
"logps/chosen": -107.8029556274414,
|
| 348 |
+
"logps/rejected": -140.51168823242188,
|
| 349 |
+
"loss": 0.0267,
|
| 350 |
+
"rewards/accuracies": 0.9624999761581421,
|
| 351 |
+
"rewards/chosen": 8.642345428466797,
|
| 352 |
+
"rewards/margins": 13.103657722473145,
|
| 353 |
+
"rewards/rejected": -4.461312294006348,
|
| 354 |
+
"step": 230
|
| 355 |
+
}
|
| 356 |
+
],
|
| 357 |
+
"logging_steps": 10,
|
| 358 |
+
"max_steps": 237,
|
| 359 |
+
"num_input_tokens_seen": 0,
|
| 360 |
+
"num_train_epochs": 1,
|
| 361 |
+
"save_steps": 50,
|
| 362 |
+
"stateful_callbacks": {
|
| 363 |
+
"TrainerControl": {
|
| 364 |
+
"args": {
|
| 365 |
+
"should_epoch_stop": false,
|
| 366 |
+
"should_evaluate": false,
|
| 367 |
+
"should_log": false,
|
| 368 |
+
"should_save": true,
|
| 369 |
+
"should_training_stop": true
|
| 370 |
+
},
|
| 371 |
+
"attributes": {}
|
| 372 |
+
}
|
| 373 |
+
},
|
| 374 |
+
"total_flos": 0.0,
|
| 375 |
+
"train_batch_size": 2,
|
| 376 |
+
"trial_name": null,
|
| 377 |
+
"trial_params": null
|
| 378 |
+
}
|