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--- |
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library_name: transformers |
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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: rlced-conifer-zephyr-7b-dpo-2e |
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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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# rlced-conifer-zephyr-7b-dpo-2e |
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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: 0.1578 |
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- Rewards/chosen: -8.8688 |
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- Rewards/rejected: -21.7065 |
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- Rewards/accuracies: 0.9203 |
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- Rewards/margins: 12.8376 |
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- Logps/rejected: -2616.5852 |
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- Logps/chosen: -1310.2896 |
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- Logits/rejected: 3.0165 |
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- Logits/chosen: -0.1724 |
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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: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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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: 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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| 0.1586 | 0.4982 | 240 | 0.1689 | -2.6868 | -8.8615 | 0.9252 | 6.1746 | -1332.0890 | -692.0928 | 1.5975 | -0.1975 | |
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| 0.1408 | 0.9964 | 480 | 0.1482 | -6.5979 | -15.9265 | 0.9326 | 9.3286 | -2038.5934 | -1083.2030 | 3.3424 | 0.5015 | |
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| 0.0852 | 1.4946 | 720 | 0.1644 | -10.0141 | -23.7065 | 0.9228 | 13.6924 | -2816.5886 | -1424.8193 | 3.4873 | 0.0636 | |
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| 0.0743 | 1.9927 | 960 | 0.1578 | -8.8688 | -21.7065 | 0.9203 | 12.8376 | -2616.5852 | -1310.2896 | 3.0165 | -0.1724 | |
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### Framework versions |
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- Transformers 4.44.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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