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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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- trl |
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- dpo |
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- generated_from_trainer |
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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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model-index: |
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- name: zephyr-dpop-qlora-gpt4-5e-6-epoch3 |
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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-dpop-qlora-gpt4-5e-6-epoch3 |
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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: 14.3852 |
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- Positive Losses: 141.6597 |
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- Dpo Losses: 0.6849 |
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- Rewards/chosen: -1.4061 |
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- Rewards/rejected: -2.0012 |
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- Rewards/accuracies: 0.6667 |
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- Rewards/margins: 0.5951 |
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- Rewards/margins Max: 2.2885 |
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- Rewards/margins Min: -1.0995 |
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- Rewards/margins Std: 1.4978 |
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- Logps/rejected: -459.3069 |
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- Logps/chosen: -425.8328 |
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- Logits/rejected: -2.2783 |
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- Logits/chosen: -2.3207 |
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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: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 16 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Positive Losses | Dpo Losses | 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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| 0.5432 | 0.28 | 100 | 1.5490 | 8.3683 | 0.6723 | -0.0507 | -0.1015 | 0.5992 | 0.0508 | 0.2567 | -0.1414 | 0.1757 | -269.3354 | -290.2917 | -2.6677 | -2.7099 | |
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| 0.4843 | 0.56 | 200 | 3.6354 | 28.9322 | 0.6415 | -0.2537 | -0.4297 | 0.6349 | 0.1759 | 0.7364 | -0.3533 | 0.4858 | -302.1486 | -310.5943 | -2.5589 | -2.6000 | |
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| 0.2828 | 0.85 | 300 | 6.8046 | 61.7689 | 0.6346 | -0.6003 | -0.8503 | 0.6508 | 0.2500 | 1.0085 | -0.4868 | 0.6679 | -344.2117 | -345.2526 | -2.5349 | -2.5759 | |
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| 0.3355 | 1.13 | 400 | 11.4158 | 108.7399 | 0.6572 | -1.0761 | -1.4209 | 0.6548 | 0.3447 | 1.4626 | -0.7661 | 0.9968 | -401.2702 | -392.8341 | -2.3773 | -2.4155 | |
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| 0.3438 | 1.41 | 500 | 10.6413 | 101.3525 | 0.6381 | -1.0007 | -1.3406 | 0.6865 | 0.3399 | 1.3353 | -0.6338 | 0.8805 | -393.2457 | -385.2938 | -2.4471 | -2.4907 | |
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| 0.2144 | 1.69 | 600 | 8.5896 | 79.7998 | 0.6267 | -0.7817 | -1.2135 | 0.6865 | 0.4318 | 1.5951 | -0.6661 | 1.0047 | -380.5318 | -363.3914 | -2.3029 | -2.3438 | |
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| 0.3314 | 1.97 | 700 | 11.1651 | 107.2969 | 0.6525 | -1.0595 | -1.5150 | 0.6627 | 0.4555 | 1.7776 | -0.8450 | 1.1660 | -410.6869 | -391.1705 | -2.3025 | -2.3432 | |
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| 0.1352 | 2.25 | 800 | 13.3571 | 130.9070 | 0.6700 | -1.2986 | -1.8184 | 0.6627 | 0.5198 | 2.0225 | -0.9603 | 1.3296 | -441.0237 | -415.0786 | -2.2901 | -2.3320 | |
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| 0.2348 | 2.54 | 900 | 14.7241 | 145.9081 | 0.6904 | -1.4488 | -2.0053 | 0.6706 | 0.5564 | 2.1801 | -1.0958 | 1.4586 | -459.7108 | -430.1044 | -2.2661 | -2.3085 | |
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| 0.1369 | 2.82 | 1000 | 14.5955 | 143.9389 | 0.6869 | -1.4291 | -2.0251 | 0.6627 | 0.5959 | 2.2953 | -1.1073 | 1.5052 | -461.6887 | -428.1342 | -2.2738 | -2.3165 | |
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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 |
