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--- |
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library_name: transformers |
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license: llama3.1 |
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base_model: OpenLeecher/llama_8b_lima_11 |
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tags: |
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- trl |
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- dpo |
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- llama-factory |
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- generated_from_trainer |
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model-index: |
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- name: llama_8b_lima_11_dpo |
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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_8b_lima_11_dpo |
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This model is a fine-tuned version of [OpenLeecher/llama_8b_lima_11](https://huggingface.co/OpenLeecher/llama_8b_lima_11) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5851 |
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- Rewards/chosen: -0.4629 |
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- Rewards/rejected: -7.1735 |
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- Rewards/accuracies: 0.9500 |
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- Rewards/margins: 6.7106 |
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- Logps/rejected: -539.3364 |
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- Logps/chosen: -1185.7501 |
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- Logits/rejected: -1.0965 |
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- Logits/chosen: -1.1222 |
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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: 2e-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 66 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 20 |
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- total_eval_batch_size: 2 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: polynomial |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 1.0 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.7617 | 0.2972 | 90 | 0.7245 | -0.7682 | -5.6994 | 0.9000 | 4.9312 | -490.1999 | -1195.9271 | -1.1052 | -1.1403 | |
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| 0.7151 | 0.5945 | 180 | 0.6198 | -0.4894 | -6.6033 | 0.9100 | 6.1140 | -520.3312 | -1186.6332 | -1.1077 | -1.1366 | |
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| 0.6943 | 0.8917 | 270 | 0.5851 | -0.4629 | -7.1735 | 0.9500 | 6.7106 | -539.3364 | -1185.7501 | -1.0965 | -1.1222 | |
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### Framework versions |
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- Transformers 4.45.0 |
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- Pytorch 2.4.1+cu124 |
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- Datasets 2.21.0 |
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- Tokenizers 0.20.1 |
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