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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-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-prometheus_consistent-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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5209 |
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- Rewards/chosen: -1.1123 |
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- Rewards/rejected: -2.3595 |
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- Rewards/accuracies: 0.7672 |
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- Rewards/margins: 1.2472 |
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- Logps/rejected: -455.0307 |
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- Logps/chosen: -386.8380 |
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- Logits/rejected: 3.7050 |
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- Logits/chosen: 2.1175 |
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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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| 0.6663 | 0.1143 | 50 | 0.6532 | -0.0060 | -0.1654 | 0.6897 | 0.1594 | -235.6116 | -276.2017 | -2.4378 | -2.5412 | |
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| 0.6051 | 0.2286 | 100 | 0.6128 | -0.8115 | -1.2713 | 0.7112 | 0.4599 | -346.2107 | -356.7497 | -2.3746 | -2.4933 | |
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| 0.5375 | 0.3429 | 150 | 0.5487 | -0.8314 | -1.9411 | 0.7672 | 1.1097 | -413.1859 | -358.7466 | 1.3727 | 0.2031 | |
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| 0.5435 | 0.4571 | 200 | 0.5359 | -0.9895 | -2.0771 | 0.7543 | 1.0876 | -426.7858 | -374.5490 | 2.7076 | 1.3441 | |
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| 0.5433 | 0.5714 | 250 | 0.5290 | -0.9003 | -2.0663 | 0.7629 | 1.1660 | -425.7063 | -365.6371 | 2.4121 | 0.8588 | |
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| 0.5194 | 0.6857 | 300 | 0.5213 | -0.9607 | -2.2057 | 0.7716 | 1.2450 | -439.6500 | -371.6745 | 3.3117 | 1.7085 | |
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| 0.5325 | 0.8 | 350 | 0.5216 | -1.1386 | -2.3763 | 0.7629 | 1.2377 | -456.7085 | -389.4649 | 3.6708 | 2.0842 | |
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| 0.5483 | 0.9143 | 400 | 0.5209 | -1.1123 | -2.3595 | 0.7672 | 1.2472 | -455.0307 | -386.8380 | 3.7050 | 2.1175 | |
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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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