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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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- alignment-handbook |
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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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datasets: |
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- EllieS/Temp-L2-DPO |
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model-index: |
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- name: Temp-L1-SFT-L2-DPO |
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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-DPO |
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This model is a fine-tuned version of [EllieS/TempReason-L1](https://huggingface.co/EllieS/TempReason-L1) on the EllieS/Temp-L2-DPO dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0028 |
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- Rewards/chosen: -0.3437 |
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- Rewards/rejected: -7.0807 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 6.7370 |
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- Logps/rejected: -752.9371 |
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- Logps/chosen: -60.2789 |
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- Logits/rejected: -2.7330 |
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- Logits/chosen: -2.6142 |
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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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| 0.0046 | 0.25 | 1000 | 0.0116 | -0.7603 | -5.8063 | 1.0 | 5.0459 | -625.4973 | -101.9450 | -2.6955 | -2.5854 | |
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| 0.0037 | 0.5 | 2000 | 0.0037 | -0.2218 | -6.4841 | 1.0 | 6.2624 | -693.2846 | -48.0898 | -2.7333 | -2.6137 | |
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| 0.0039 | 0.75 | 3000 | 0.0028 | -0.3670 | -7.1056 | 1.0 | 6.7386 | -755.4296 | -62.6133 | -2.7342 | -2.6152 | |
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| 0.0019 | 1.0 | 4000 | 0.0028 | -0.3437 | -7.0807 | 1.0 | 6.7370 | -752.9371 | -60.2789 | -2.7330 | -2.6142 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
