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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-magpi-reward-scale-1 |
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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-magpi-reward-scale-1 |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0010 |
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- Rewards/chosen: -2.2051 |
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- Rewards/rejected: -74.7846 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 72.5795 |
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- Logps/rejected: -8119.2456 |
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- Logps/chosen: -587.4921 |
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- Logits/rejected: 2.7746 |
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- Logits/chosen: -0.3615 |
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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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| 0.0135 | 0.1420 | 50 | 0.0099 | -1.3212 | -47.4111 | 0.9960 | 46.0899 | -5381.9028 | -499.1044 | -2.4386 | -2.9291 | |
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| 0.0109 | 0.2841 | 100 | 0.0025 | -2.5970 | -80.9884 | 1.0 | 78.3913 | -8739.6260 | -626.6862 | -0.0340 | -2.5428 | |
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| 0.0017 | 0.4261 | 150 | 0.0011 | -1.9943 | -77.1591 | 1.0 | 75.1648 | -8356.6973 | -566.4090 | 2.8304 | -1.6476 | |
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| 0.002 | 0.5682 | 200 | 0.0008 | -2.1292 | -82.8472 | 1.0 | 80.7180 | -8925.5107 | -579.9021 | 2.8840 | -1.3436 | |
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| 0.0018 | 0.7102 | 250 | 0.0009 | -2.1417 | -72.3491 | 1.0 | 70.2074 | -7875.6992 | -581.1540 | 2.5447 | -1.1532 | |
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| 0.0013 | 0.8523 | 300 | 0.0010 | -2.2050 | -73.9724 | 1.0 | 71.7674 | -8038.0322 | -587.4813 | 2.7313 | -0.4348 | |
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| 0.0058 | 0.9943 | 350 | 0.0010 | -2.2051 | -74.7846 | 1.0 | 72.5795 | -8119.2456 | -587.4921 | 2.7746 | -0.3615 | |
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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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