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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/oasst2_dpo_pairs_en |
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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-oasst2_dpo_pairs_en |
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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-oasst2_dpo_pairs_en |
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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/oasst2_dpo_pairs_en dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6714 |
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- Rewards/chosen: 0.1838 |
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- Rewards/rejected: 0.0314 |
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- Rewards/accuracies: 0.6875 |
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- Rewards/margins: 0.1524 |
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- Logps/rejected: -267.5412 |
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- Logps/chosen: -312.9823 |
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- Logits/rejected: -2.2363 |
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- Logits/chosen: -2.2654 |
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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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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.1 |
