| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - alignment-handbook |
| - generated_from_trainer |
| - trl |
| - dpo |
| - generated_from_trainer |
| datasets: |
| - sablo/HelpSteer_binarized |
| base_model: sablo/sablo-pebble-mistral |
| model-index: |
| - name: sablo-pebble-mistral-dpo-lora-HelpSteer_binarized-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. --> |
|
|
| # sablo-pebble-mistral-dpo-lora-HelpSteer_binarized-2 |
| |
| This model is a fine-tuned version of [sablo/sablo-pebble-mistral](https://huggingface.co/sablo/sablo-pebble-mistral) on the sablo/HelpSteer_binarized dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5195 |
| - Rewards/chosen: -1.3821 |
| - Rewards/rejected: -2.4510 |
| - Rewards/accuracies: 0.7358 |
| - Rewards/margins: 1.0689 |
| - Logps/rejected: -158.5470 |
| - Logps/chosen: -147.7195 |
| - Logits/rejected: -2.0952 |
| - Logits/chosen: -2.1922 |
|
|
| ## 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: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - gradient_accumulation_steps: 2 |
| - total_train_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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | 0.65 | 0.2 | 200 | 0.6563 | 0.1070 | 0.0177 | 0.6509 | 0.0893 | -76.2561 | -98.0835 | -2.0464 | -2.1421 | |
| | 0.456 | 0.39 | 400 | 0.5446 | -1.2305 | -1.8748 | 0.7217 | 0.6444 | -139.3410 | -142.6661 | -2.1203 | -2.2102 | |
| | 0.4388 | 0.59 | 600 | 0.5325 | -1.8012 | -2.8927 | 0.7123 | 1.0915 | -173.2708 | -161.6904 | -2.1017 | -2.1954 | |
| | 0.6137 | 0.79 | 800 | 0.5198 | -1.4487 | -2.5199 | 0.7382 | 1.0712 | -160.8413 | -149.9388 | -2.0962 | -2.1935 | |
| | 0.5866 | 0.98 | 1000 | 0.5195 | -1.3821 | -2.4510 | 0.7358 | 1.0689 | -158.5470 | -147.7195 | -2.0952 | -2.1922 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.36.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.15.0 |
