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--- |
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license: llama2 |
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library_name: peft |
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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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base_model: meta-llama/Llama-2-7b-hf |
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model-index: |
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- name: Llama-2-7b-hf-eval_threapist-ORPO-filtered-0.2-version-1 |
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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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# Llama-2-7b-hf-eval_threapist-ORPO-filtered-0.2-version-1 |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5471 |
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- Rewards/chosen: -0.1206 |
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- Rewards/rejected: -0.1280 |
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- Rewards/accuracies: 0.6500 |
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- Rewards/margins: 0.0074 |
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- Logps/rejected: -1.2803 |
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- Logps/chosen: -1.2064 |
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- Logits/rejected: -1.4351 |
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- Logits/chosen: -1.4353 |
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- Nll Loss: 0.4721 |
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- Log Odds Ratio: -0.7502 |
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- Log Odds Chosen: 0.0744 |
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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: 8e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_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: linear |
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- lr_scheduler_warmup_steps: 10 |
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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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| 0.8049 | 0.6 | 141 | 0.8303 | -0.2121 | -0.2243 | 0.6500 | 0.0122 | -2.2432 | -2.1211 | -0.7703 | -0.7698 | 0.7515 | -0.7874 | 0.1083 | |
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| 0.5299 | 1.2 | 282 | 0.5796 | -0.1515 | -0.1597 | 0.6500 | 0.0081 | -1.5968 | -1.5153 | -1.2952 | -1.2957 | 0.5038 | -0.7583 | 0.0737 | |
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| 0.595 | 1.8 | 423 | 0.5535 | -0.1227 | -0.1296 | 0.6500 | 0.0070 | -1.2962 | -1.2265 | -1.4015 | -1.4015 | 0.4782 | -0.7532 | 0.0683 | |
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| 0.6024 | 2.4 | 564 | 0.5476 | -0.1216 | -0.1293 | 0.6500 | 0.0077 | -1.2929 | -1.2164 | -1.4239 | -1.4238 | 0.4727 | -0.7491 | 0.0768 | |
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| 0.59 | 3.0 | 705 | 0.5471 | -0.1206 | -0.1280 | 0.6500 | 0.0074 | -1.2803 | -1.2064 | -1.4351 | -1.4353 | 0.4721 | -0.7502 | 0.0744 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
