| | --- |
| | base_model: mistralai/Mistral-7B-v0.1 |
| | tags: |
| | - alignment-handbook |
| | - generated_from_trainer |
| | datasets: |
| | - HuggingFaceH4/ultrafeedback_binarized |
| | model-index: |
| | - name: mistral_7b_gsm8k_ep2_1e-5_dpo |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/hbin0701/DPO/runs/8aboqbe6) |
| | # mistral_7b_gsm8k_ep2_1e-5_dpo |
| | |
| | This model is a fine-tuned version of [/home/hyeonbin/self_train/Verifiers/models/mistral_7b_gsm8k_ep2_1e-5_rft_round1](https://huggingface.co//home/hyeonbin/self_train/Verifiers/models/mistral_7b_gsm8k_ep2_1e-5_rft_round1) on the GSM8K Train Set. |
| | It achieves the following results on the evaluation set (=GSM8K Train subset): |
| | - Loss: 0.0005 |
| | - Rewards/chosen: -1.7120 |
| | - Rewards/rejected: -14.3548 |
| | - Rewards/accuracies: 1.0 |
| | - Rewards/margins: 12.6428 |
| | - Logps/rejected: -1466.6733 |
| | - Logps/chosen: -208.2280 |
| | - Logits/rejected: -3.2168 |
| | - Logits/chosen: -2.3996 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 1e-07 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 4 |
| | - total_train_batch_size: 32 |
| | - total_eval_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 1 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | | 0.014 | 1.0 | 7066 | 0.0005 | -1.7120 | -14.3548 | 1.0 | 12.6428 | -1466.6733 | -208.2280 | -3.2168 | -2.3996 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.41.0 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.19.1 |
| |
|
