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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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- alignment-handbook |
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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-01 |
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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-01 |
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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: 0.5426 |
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- Rewards/chosen: -1.6823 |
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- Rewards/rejected: -3.0793 |
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- Rewards/accuracies: 0.7543 |
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- Rewards/margins: 1.3969 |
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- Logps/rejected: -527.0015 |
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- Logps/chosen: -443.8361 |
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- Logits/rejected: 3.9256 |
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- Logits/chosen: 2.3196 |
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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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| 0.6745 | 0.1143 | 50 | 0.6652 | -0.0243 | -0.1726 | 0.6853 | 0.1483 | -236.3333 | -278.0297 | -2.4359 | -2.5373 | |
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| 0.6243 | 0.2286 | 100 | 0.6148 | -0.4908 | -1.0266 | 0.7026 | 0.5358 | -321.7332 | -324.6850 | -2.3884 | -2.4967 | |
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| 0.5613 | 0.3429 | 150 | 0.5828 | -1.5541 | -2.6485 | 0.7241 | 1.0943 | -483.9227 | -431.0166 | 1.8439 | 0.7832 | |
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| 0.5618 | 0.4571 | 200 | 0.5594 | -1.3157 | -2.5436 | 0.7457 | 1.2279 | -473.4366 | -407.1749 | 2.6334 | 1.3535 | |
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| 0.558 | 0.5714 | 250 | 0.5526 | -1.3313 | -2.5932 | 0.7629 | 1.2619 | -478.3948 | -408.7301 | 3.1078 | 1.5316 | |
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| 0.5399 | 0.6857 | 300 | 0.5465 | -1.7354 | -3.0859 | 0.75 | 1.3504 | -527.6615 | -449.1465 | 3.8100 | 2.3192 | |
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| 0.5536 | 0.8 | 350 | 0.5458 | -1.8434 | -3.1830 | 0.7672 | 1.3396 | -537.3768 | -459.9458 | 4.1008 | 2.5496 | |
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| 0.5612 | 0.9143 | 400 | 0.5426 | -1.6823 | -3.0793 | 0.7543 | 1.3969 | -527.0015 | -443.8361 | 3.9256 | 2.3196 | |
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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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