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--- |
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license: apache-2.0 |
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library_name: peft |
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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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base_model: alignment-handbook/zephyr-7b-sft-full |
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model-index: |
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- name: Temp-L1-SFT-L2-KTO |
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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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# Temp-L1-SFT-L2-KTO |
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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: 0.2213 |
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- Rewards/chosen: 0.2579 |
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- Rewards/rejected: -6.0725 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 6.3304 |
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- Logps/rejected: -652.1185 |
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- Logps/chosen: -0.1197 |
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- Logits/rejected: -2.6590 |
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- Logits/chosen: -2.5711 |
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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-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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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| 0.2255 | 0.2497 | 1000 | 0.2230 | 0.2551 | -5.4032 | 1.0 | 5.6583 | -585.1871 | -0.3988 | -2.6372 | -2.5514 | |
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| 0.2252 | 0.4994 | 2000 | 0.2215 | 0.2576 | -5.9860 | 1.0 | 6.2436 | -643.4705 | -0.1526 | -2.6560 | -2.5690 | |
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| 0.2264 | 0.7492 | 3000 | 0.2213 | 0.2579 | -6.0565 | 1.0 | 6.3144 | -650.5204 | -0.1267 | -2.6590 | -2.5715 | |
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| 0.2262 | 0.9989 | 4000 | 0.2213 | 0.2579 | -6.0725 | 1.0 | 6.3304 | -652.1185 | -0.1197 | -2.6590 | -2.5711 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.40.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
