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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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- generated_from_trainer |
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datasets: |
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- silviasapora/low_quality_dpo7k |
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model-index: |
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- name: gemma-7b-borpo-low-quality-v3 |
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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-borpo-low-quality-v3 |
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the silviasapora/low_quality_dpo7k dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1095 |
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- Rewards/chosen: -0.6954 |
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- Rewards/rejected: -0.8346 |
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- Rewards/accuracies: 0.5571 |
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- Rewards/margins: 0.1392 |
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- Logps/rejected: -1.6692 |
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- Logps/chosen: -1.3909 |
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- Logits/rejected: 262.5518 |
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- Logits/chosen: 319.3429 |
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- Nll Loss: 1.7836 |
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- Log Odds Ratio: -0.6395 |
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- Log Odds Chosen: 0.4455 |
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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: 1e-05 |
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- train_batch_size: 2 |
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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: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- total_eval_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: 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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| 1.9721 | 1.0 | 168 | 1.9526 | -0.6072 | -0.7027 | 0.5571 | 0.0955 | -1.4054 | -1.2144 | 282.1215 | 336.2867 | 1.6515 | -0.6573 | 0.2649 | |
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| 1.3299 | 2.0 | 336 | 1.9015 | -0.5986 | -0.6805 | 0.5 | 0.0820 | -1.3611 | -1.1972 | 293.2820 | 345.2333 | 1.5933 | -0.6792 | 0.2173 | |
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| 0.6266 | 3.0 | 504 | 2.1095 | -0.6954 | -0.8346 | 0.5571 | 0.1392 | -1.6692 | -1.3909 | 262.5518 | 319.3429 | 1.7836 | -0.6395 | 0.4455 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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