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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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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- sablo/HelpSteer_binarized |
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base_model: sablo/sablo-pebble-mistral |
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model-index: |
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- name: sablo-pebble-mistral-dpo-lora-HelpSteer_binarized |
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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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# sablo-pebble-mistral-dpo-lora-HelpSteer_binarized |
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This model is a fine-tuned version of [sablo/sablo-pebble-mistral](https://huggingface.co/sablo/sablo-pebble-mistral) on the sablo/HelpSteer_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5212 |
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- Rewards/chosen: -2.5398 |
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- Rewards/rejected: -3.5311 |
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- Rewards/accuracies: 0.7406 |
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- Rewards/margins: 0.9913 |
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- Logps/rejected: -214.9349 |
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- Logps/chosen: -206.5847 |
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- Logits/rejected: -2.0624 |
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- Logits/chosen: -2.1620 |
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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: 4 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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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| 0.652 | 0.2 | 200 | 0.6595 | 0.0498 | -0.0320 | 0.6415 | 0.0818 | -98.2975 | -120.2629 | -2.0236 | -2.1231 | |
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| 0.4905 | 0.39 | 400 | 0.5551 | -1.6581 | -2.1527 | 0.6958 | 0.4946 | -168.9884 | -177.1946 | -2.0950 | -2.1951 | |
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| 0.4249 | 0.59 | 600 | 0.5327 | -3.4554 | -4.3247 | 0.7241 | 0.8693 | -241.3867 | -237.1045 | -2.0782 | -2.1773 | |
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| 0.5858 | 0.79 | 800 | 0.5207 | -2.5072 | -3.4512 | 0.7335 | 0.9440 | -212.2718 | -205.4982 | -2.0586 | -2.1591 | |
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| 0.6128 | 0.98 | 1000 | 0.5212 | -2.5398 | -3.5311 | 0.7406 | 0.9913 | -214.9349 | -206.5847 | -2.0624 | -2.1620 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
