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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-p-2-lr6e-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-p-2-lr6e-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: 0.0131 |
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- Rewards/chosen: -187.5863 |
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- Rewards/rejected: -185.7464 |
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- Rewards/accuracies: 0.4839 |
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- Rewards/margins: -1.8399 |
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- Logps/rejected: -18661.3926 |
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- Logps/chosen: -18846.9238 |
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- Logits/rejected: -6.2589 |
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- Logits/chosen: -6.2928 |
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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: 6e-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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| 0.1724 | 0.2137 | 100 | 0.1723 | -0.1366 | -0.1256 | 0.4274 | -0.0110 | -99.3180 | -101.9561 | -0.1170 | -0.1376 | |
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| 0.0221 | 0.4275 | 200 | 0.0190 | -147.9461 | -146.7242 | 0.4798 | -1.2218 | -14759.1787 | -14882.8994 | -4.3358 | -4.3358 | |
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| 0.0129 | 0.6412 | 300 | 0.0151 | -161.7966 | -159.7617 | 0.4718 | -2.0349 | -16062.9199 | -16267.9521 | -5.5083 | -5.5487 | |
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| 0.0129 | 0.8549 | 400 | 0.0138 | -195.4678 | -193.5756 | 0.4637 | -1.8922 | -19444.3184 | -19635.0742 | -6.3235 | -6.3558 | |
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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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