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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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- trl |
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- orpo |
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- generated_from_trainer |
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model-index: |
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- name: mistral-orpo-mix-beta |
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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-orpo-mix-beta |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2152 |
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- Rewards/chosen: -0.1113 |
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- Rewards/rejected: -0.1461 |
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- Rewards/accuracies: 0.6562 |
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- Rewards/margins: 0.0348 |
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- Logps/rejected: -1.4607 |
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- Logps/chosen: -1.1130 |
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- Logits/rejected: -2.4201 |
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- Logits/chosen: -2.4178 |
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- Nll Loss: 1.1711 |
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- Log Odds Ratio: -0.6108 |
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- Log Odds Chosen: 0.5395 |
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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: 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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- total_train_batch_size: 32 |
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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: inverse_sqrt |
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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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| 0.9961 | 1.0 | 211 | 0.9199 | -0.0831 | -0.1055 | 0.6302 | 0.0224 | -1.0547 | -0.8311 | -2.3542 | -2.3590 | 0.8774 | -0.6294 | 0.3896 | |
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| 0.4999 | 2.0 | 422 | 0.9813 | -0.0894 | -0.1184 | 0.6615 | 0.0290 | -1.1836 | -0.8937 | -2.5184 | -2.5177 | 0.9404 | -0.6012 | 0.4994 | |
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| 0.1899 | 3.0 | 633 | 1.2152 | -0.1113 | -0.1461 | 0.6562 | 0.0348 | -1.4607 | -1.1130 | -2.4201 | -2.4178 | 1.1711 | -0.6108 | 0.5395 | |
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### Framework versions |
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- Transformers 4.39.0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
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