| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: alignment-handbook/zephyr-7b-sft-full |
| tags: |
| - alignment-handbook |
| - trl |
| - dpo |
| - generated_from_trainer |
| - trl |
| - dpo |
| - alignment-handbook |
| - generated_from_trainer |
| datasets: |
| - HuggingFaceH4/ultrafeedback_binarized |
| model-index: |
| - name: zephyr-7b-align-scan-0.0-0.0-cosine-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. --> |
|
|
| # zephyr-7b-align-scan-0.0-0.0-cosine-2 |
|
|
| This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.7260 |
| - Rewards/chosen: -5.0723 |
| - Rewards/rejected: -8.1169 |
| - Rewards/accuracies: 0.3075 |
| - Rewards/margins: 3.0445 |
| - Logps/rejected: -601.5961 |
| - Logps/chosen: -399.7386 |
| - Logits/rejected: 4.1594 |
| - Logits/chosen: 3.9982 |
| |
| ## 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: 8.19247218325348e-07 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 4 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 64 |
| - total_eval_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 2 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected | |
| |:-------------:|:------:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:| |
| | 0.66 | 1.0417 | 100 | 2.2227 | 2.3998 | -231.4086 | -327.2254 | 0.6710 | 0.3155 | -0.1518 | 0.0862 | -0.2380 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.44.2 |
| - Pytorch 2.4.0 |
| - Datasets 2.21.0 |
| - Tokenizers 0.19.1 |
|
|
