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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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- choo-choo |
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- trl |
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- dpo |
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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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base_model: alignment-handbook/zephyr-7b-sft-full |
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model-index: |
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- name: zephyr-7b-lora-dpo-dibt-v0 |
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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-lora-dpo-dibt-v0 |
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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 argilla/10k_prompts_dpo dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1666 |
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- Rewards/chosen: -0.7428 |
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- Rewards/rejected: -5.5139 |
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- Rewards/accuracies: 0.9375 |
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- Rewards/margins: 4.7711 |
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- Logps/rejected: -387.5656 |
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- Logps/chosen: -341.2073 |
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- Logits/rejected: -2.1864 |
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- Logits/chosen: -2.2314 |
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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-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_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: 2 |
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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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| 0.6028 | 0.19 | 20 | 0.5286 | 0.8789 | 0.4471 | 0.8125 | 0.4318 | -327.9556 | -324.9910 | -2.6143 | -2.6401 | |
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| 0.3363 | 0.39 | 40 | 0.3232 | 0.5215 | -1.1097 | 0.8594 | 1.6312 | -343.5236 | -328.5651 | -2.5076 | -2.5352 | |
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| 0.2458 | 0.58 | 60 | 0.2501 | 0.5738 | -1.8685 | 0.9115 | 2.4423 | -351.1114 | -328.0413 | -2.5602 | -2.5924 | |
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| 0.2116 | 0.78 | 80 | 0.1991 | -0.6755 | -3.8274 | 0.9167 | 3.1519 | -370.7006 | -340.5351 | -2.3129 | -2.3427 | |
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| 0.1386 | 0.97 | 100 | 0.2002 | 0.2920 | -3.0192 | 0.9375 | 3.3111 | -362.6181 | -330.8600 | -2.3132 | -2.3535 | |
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| 0.0458 | 1.17 | 120 | 0.1748 | -1.3802 | -5.8772 | 0.9479 | 4.4969 | -391.1983 | -347.5820 | -2.2290 | -2.2717 | |
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| 0.0426 | 1.36 | 140 | 0.1755 | -0.0635 | -4.3090 | 0.9375 | 4.2455 | -375.5160 | -334.4143 | -2.1959 | -2.2403 | |
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| 0.029 | 1.55 | 160 | 0.1692 | -0.7990 | -5.4881 | 0.9375 | 4.6891 | -387.3076 | -341.7697 | -2.1893 | -2.2329 | |
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| 0.0676 | 1.75 | 180 | 0.1676 | -0.6944 | -5.4513 | 0.9375 | 4.7569 | -386.9397 | -340.7238 | -2.1864 | -2.2314 | |
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| 0.0517 | 1.94 | 200 | 0.1666 | -0.7428 | -5.5139 | 0.9375 | 4.7711 | -387.5656 | -341.2073 | -2.1864 | -2.2314 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
