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--- |
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library_name: transformers |
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license: llama3 |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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tags: |
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- trl |
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- dpo |
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- generated_from_trainer |
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model-index: |
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- name: Llama0-3-8b-v0.1-dpo-lr5e-7-e1 |
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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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# Llama0-3-8b-v0.1-dpo-lr5e-7-e1 |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6647 |
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- Rewards/chosen: -0.4944 |
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- Rewards/rejected: -0.5567 |
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- Rewards/accuracies: 0.5968 |
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- Rewards/margins: 0.0624 |
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- Logps/rejected: -142.4301 |
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- Logps/chosen: -137.7279 |
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- Logits/rejected: 0.1487 |
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- Logits/chosen: 0.1334 |
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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-07 |
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- train_batch_size: 2 |
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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: 8 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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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- 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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| 0.6888 | 0.2137 | 100 | 0.6885 | -0.0371 | -0.0441 | 0.5806 | 0.0070 | -91.1662 | -92.0013 | 0.0596 | 0.0400 | |
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| 0.6799 | 0.4275 | 200 | 0.6786 | -0.1682 | -0.1907 | 0.6089 | 0.0225 | -105.8212 | -105.1108 | 0.1016 | 0.0832 | |
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| 0.669 | 0.6412 | 300 | 0.6697 | -0.3621 | -0.4081 | 0.6008 | 0.0459 | -127.5619 | -124.5048 | 0.1494 | 0.1334 | |
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| 0.6673 | 0.8549 | 400 | 0.6657 | -0.4687 | -0.5277 | 0.5887 | 0.0590 | -139.5236 | -135.1644 | 0.1472 | 0.1318 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.20.0 |
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