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--- |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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datasets: |
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- generation/GPT4 |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- alignment-handbook |
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- trl |
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- dpo |
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- generated_from_trainer |
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model-index: |
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- name: zephyr-dpo-qlora-gpt4-5e-6 |
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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-dpo-qlora-gpt4-5e-6 |
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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 generation/GPT4 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9318 |
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- Rewards/chosen: -6.0570 |
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- Rewards/rejected: -7.0161 |
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- Rewards/accuracies: 0.6430 |
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- Rewards/margins: 0.9590 |
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- Rewards/margins Max: 4.7709 |
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- Rewards/margins Min: -3.0068 |
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- Rewards/margins Std: 2.6570 |
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- Logps/rejected: -960.1845 |
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- Logps/chosen: -890.2942 |
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- Logits/rejected: -1.4367 |
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- Logits/chosen: -1.4956 |
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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: 4 |
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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: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 16 |
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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 | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.3843 | 0.28 | 100 | 0.6754 | -0.8222 | -0.9456 | 0.6190 | 0.1235 | 0.8275 | -0.5849 | 0.4661 | -353.1436 | -366.8085 | -2.4707 | -2.5001 | |
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| 0.1345 | 0.56 | 200 | 0.9115 | -6.6830 | -7.3423 | 0.6230 | 0.6594 | 4.1300 | -2.9206 | 2.3615 | -992.8121 | -952.8915 | -1.3494 | -1.4037 | |
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| 0.0467 | 0.85 | 300 | 0.9371 | -6.0411 | -6.9811 | 0.6450 | 0.9400 | 4.7437 | -3.0368 | 2.6550 | -956.6877 | -888.7039 | -1.4320 | -1.4909 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.39.0.dev0 |
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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 |
