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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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- trl |
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- dpo |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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datasets: |
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- updated |
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- original |
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model-index: |
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- name: nash_dpo_merge_iter_4 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# nash_dpo_merge_iter_4 |
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This model is a fine-tuned version of [YYYYYYibo/nash_dpo_merge_iter_3](https://huggingface.co/YYYYYYibo/nash_dpo_merge_iter_3) on the updated and the original datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5503 |
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- Rewards/chosen: -0.6370 |
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- Rewards/rejected: -1.1963 |
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- Rewards/accuracies: 0.7140 |
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- Rewards/margins: 0.5593 |
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- Logps/rejected: -391.2296 |
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- Logps/chosen: -351.8179 |
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- Logits/rejected: -0.0547 |
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- Logits/chosen: -0.6312 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.5616 | 0.51 | 100 | 0.5503 | -0.6370 | -1.1963 | 0.7140 | 0.5593 | -391.2296 | -351.8179 | -0.0547 | -0.6312 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
