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--- |
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library_name: transformers |
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license: gemma |
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base_model: google/gemma-7b |
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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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- alignment-handbook |
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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: gemma-7b-orpo |
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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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# gemma-7b-orpo |
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) 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: 1.7559 |
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- Rewards/chosen: -0.0650 |
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- Rewards/rejected: -0.0764 |
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- Rewards/accuracies: 0.5971 |
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- Rewards/margins: 0.0114 |
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- Logps/rejected: -1.5282 |
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- Logps/chosen: -1.3004 |
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- Logits/rejected: 266.0260 |
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- Logits/chosen: 295.6202 |
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- Nll Loss: 1.6941 |
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- Log Odds Ratio: -0.6992 |
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- Log Odds Chosen: 0.3721 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 4 |
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- total_eval_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: inverse_sqrt |
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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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| 1.3309 | 1.0 | 1259 | 1.4432 | -0.0513 | -0.0583 | 0.5468 | 0.0071 | -1.1666 | -1.0254 | 310.9833 | 338.2715 | 1.3964 | -0.7034 | 0.2119 | |
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| 0.647 | 2.0 | 2518 | 1.4816 | -0.0529 | -0.0637 | 0.5899 | 0.0108 | -1.2742 | -1.0583 | 296.0398 | 324.3109 | 1.4304 | -0.6778 | 0.3416 | |
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| 0.348 | 3.0 | 3777 | 1.7559 | -0.0650 | -0.0764 | 0.5971 | 0.0114 | -1.5282 | -1.3004 | 266.0260 | 295.6202 | 1.6941 | -0.6992 | 0.3721 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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