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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-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-dpo-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: 0.6582 |
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- Rewards/chosen: -0.7111 |
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- Rewards/rejected: -0.8015 |
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- Rewards/accuracies: 0.5927 |
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- Rewards/margins: 0.0904 |
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- Logps/rejected: -166.9069 |
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- Logps/chosen: -159.4064 |
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- Logits/rejected: 0.2042 |
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- Logits/chosen: 0.1905 |
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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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| 0.6871 | 0.2137 | 100 | 0.6864 | -0.0646 | -0.0752 | 0.5927 | 0.0106 | -94.2750 | -94.7507 | 0.0781 | 0.0585 | |
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| 0.6735 | 0.4275 | 200 | 0.6722 | -0.2864 | -0.3235 | 0.6048 | 0.0371 | -119.1064 | -116.9293 | 0.1352 | 0.1179 | |
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| 0.6616 | 0.6412 | 300 | 0.6630 | -0.5661 | -0.6349 | 0.5968 | 0.0688 | -150.2457 | -144.8998 | 0.2044 | 0.1898 | |
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| 0.6599 | 0.8549 | 400 | 0.6591 | -0.6785 | -0.7632 | 0.5847 | 0.0846 | -163.0742 | -156.1471 | 0.2023 | 0.1883 | |
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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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