| --- |
| base_model: alignment-handbook/zephyr-7b-sft-full |
| datasets: |
| - updated |
| - original |
| library_name: peft |
| license: apache-2.0 |
| tags: |
| - alignment-handbook |
| - generated_from_trainer |
| - trl |
| - dpo |
| model-index: |
| - name: imp_sam_iter_2 |
| 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. --> |
|
|
| # imp_sam_iter_2 |
| |
| This model is a fine-tuned version of [YYYYYYibo/imp_sam_iter_1](https://huggingface.co/YYYYYYibo/imp_sam_iter_1) on the updated and the original datasets. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6852 |
| - Rewards/chosen: -0.0952 |
| - Rewards/rejected: -0.1146 |
| - Rewards/accuracies: 0.5660 |
| - Rewards/margins: 0.0194 |
| - Logps/rejected: -301.2935 |
| - Logps/chosen: -307.9213 |
| - Logits/rejected: -2.4415 |
| - Logits/chosen: -2.5384 |
| |
| ## 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: 5e-06 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 4 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 128 |
| - total_eval_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | 0.6889 | 0.67 | 100 | 0.6852 | -0.0952 | -0.1146 | 0.5660 | 0.0194 | -301.2935 | -307.9213 | -2.4415 | -2.5384 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.7.1 |
| - Transformers 4.36.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.14.6 |
| - Tokenizers 0.15.2 |
