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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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- 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-7b-dpo-full-prometheus_consistent-reward-scale-1-rpo |
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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-prometheus_consistent-reward-scale-1-rpo |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0340 |
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- Rewards/chosen: -0.0965 |
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- Rewards/rejected: -0.3938 |
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- Rewards/accuracies: 0.7414 |
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- Rewards/margins: 0.2973 |
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- Logps/rejected: -258.4546 |
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- Logps/chosen: -285.2520 |
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- Logits/rejected: -2.1563 |
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- Logits/chosen: -2.3140 |
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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: 55 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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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| 0.048 | 0.1143 | 50 | 0.0428 | 0.0615 | -0.0563 | 0.7026 | 0.1178 | -224.7078 | -269.4535 | -2.4545 | -2.5520 | |
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| 0.0399 | 0.2286 | 100 | 0.0385 | -0.0747 | -0.3118 | 0.75 | 0.2371 | -250.2514 | -283.0706 | -1.9893 | -2.1601 | |
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| 0.0367 | 0.3429 | 150 | 0.0371 | -0.1934 | -0.4431 | 0.7672 | 0.2497 | -263.3893 | -294.9446 | -2.3057 | -2.4218 | |
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| 0.0375 | 0.4571 | 200 | 0.0353 | -0.0541 | -0.3320 | 0.7672 | 0.2779 | -252.2786 | -281.0130 | -2.1436 | -2.2907 | |
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| 0.0371 | 0.5714 | 250 | 0.0344 | -0.0812 | -0.3496 | 0.7629 | 0.2684 | -254.0325 | -283.7219 | -2.2615 | -2.3785 | |
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| 0.0345 | 0.6857 | 300 | 0.0341 | -0.0682 | -0.3495 | 0.7457 | 0.2813 | -254.0265 | -282.4234 | -2.2130 | -2.3475 | |
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| 0.0373 | 0.8 | 350 | 0.0341 | -0.0908 | -0.3849 | 0.7414 | 0.2941 | -257.5619 | -284.6819 | -2.1788 | -2.3321 | |
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| 0.0367 | 0.9143 | 400 | 0.0340 | -0.0965 | -0.3938 | 0.7414 | 0.2973 | -258.4546 | -285.2520 | -2.1563 | -2.3140 | |
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### Framework versions |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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