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--- |
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license: apache-2.0 |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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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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- generated_from_trainer |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: zephyr-7b-dpo-full-repnew |
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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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# zephyr-7b-dpo-full-repnew |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5036 |
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- Rewards/chosen: -1.1057 |
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- Rewards/rejected: -2.0459 |
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- Rewards/accuracies: 0.7698 |
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- Rewards/margins: 0.9402 |
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- Logps/rejected: -466.3643 |
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- Logps/chosen: -394.6778 |
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- Logits/rejected: 0.8720 |
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- Logits/chosen: 0.0385 |
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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-07 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 32 |
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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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected | |
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|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:| |
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| 0.5666 | 0.21 | 100 | -1.6453 | -1.5540 | -378.9401 | -411.0335 | 0.5780 | 0.7282 | -0.9484 | 0.5442 | -1.4926 | |
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| 0.5107 | 0.42 | 200 | -0.1291 | 0.3999 | -386.8341 | -445.9254 | 0.5233 | 0.7480 | -1.0273 | 0.8142 | -1.8415 | |
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| 0.5036 | 0.63 | 300 | -0.0425 | 0.7446 | -387.1995 | -449.6839 | 0.5109 | 0.7599 | -1.0310 | 0.8481 | -1.8791 | |
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| 0.485 | 0.84 | 400 | 0.0635 | 0.9022 | -397.1799 | -468.7184 | 0.5047 | 0.7639 | -1.1308 | 0.9387 | -2.0694 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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