| --- |
| license: mit |
| base_model: ShenaoZ/0.0_ablation_iter_2 |
| tags: |
| - alignment-handbook |
| - generated_from_trainer |
| - trl |
| - dpo |
| - generated_from_trainer |
| datasets: |
| - updated |
| - original |
| model-index: |
| - name: 0.0_ablation_iter_3 |
| 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. --> |
|
|
| # 0.0_ablation_iter_3 |
| |
| This model is a fine-tuned version of [ShenaoZ/0.0_ablation_iter_2](https://huggingface.co/ShenaoZ/0.0_ablation_iter_2) on the updated and the original datasets. |
| |
| ## 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-07 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 128 |
| - total_eval_batch_size: 64 |
| - 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 |
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| ### Framework versions |
|
|
| - Transformers 4.36.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.14.6 |
| - Tokenizers 0.15.2 |
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|
