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--- |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-v0.1 |
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tags: |
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- alignment-handbook |
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- trl |
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- orpo |
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- generated_from_trainer |
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- trl |
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- orpo |
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- generated_from_trainer |
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datasets: |
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- argilla/dpo-mix-7k |
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model-index: |
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- name: mistral-7b-orpo-alignment-handbook |
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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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# mistral-7b-orpo-alignment-handbook |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the argilla/dpo-mix-7k dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8562 |
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- Rewards/chosen: -0.0394 |
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- Rewards/rejected: -0.0485 |
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- Rewards/accuracies: 0.6615 |
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- Rewards/margins: 0.0091 |
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- Logps/rejected: -0.9709 |
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- Logps/chosen: -0.7882 |
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- Logits/rejected: -2.9442 |
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- Logits/chosen: -2.9335 |
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- Nll Loss: 0.8317 |
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- Log Odds Ratio: -0.6241 |
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- Log Odds Chosen: 0.3600 |
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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: 4 |
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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: 32 |
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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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 3 |
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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 | Nll Loss | Log Odds Ratio | Log Odds Chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:| |
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| 0.9081 | 0.95 | 100 | 0.8756 | -0.0406 | -0.0483 | 0.625 | 0.0077 | -0.9657 | -0.8116 | -3.0351 | -3.0266 | 0.8517 | -0.6438 | 0.3078 | |
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| 0.8743 | 1.9 | 200 | 0.8544 | -0.0391 | -0.0474 | 0.6458 | 0.0083 | -0.9474 | -0.7823 | -2.9519 | -2.9423 | 0.8308 | -0.6319 | 0.3327 | |
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| 0.7952 | 2.84 | 300 | 0.8562 | -0.0394 | -0.0485 | 0.6615 | 0.0091 | -0.9709 | -0.7880 | -2.9507 | -2.9399 | 0.8317 | -0.6238 | 0.3606 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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