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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-ultra-p-0.05-lr1e-6-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-ultra-p-0.05-lr1e-6-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: 0.5155 |
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- Rewards/chosen: -0.8052 |
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- Rewards/rejected: -1.6601 |
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- Rewards/accuracies: 0.75 |
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- Rewards/margins: 0.8549 |
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- Logps/rejected: -430.6040 |
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- Logps/chosen: -337.1520 |
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- Logits/rejected: 0.5600 |
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- Logits/chosen: 0.4444 |
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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: 1e-06 |
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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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| 0.5887 | 0.2060 | 100 | 0.5813 | -0.4118 | -0.7745 | 0.6875 | 0.3628 | -342.0493 | -297.8121 | 0.1168 | 0.0514 | |
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| 0.5536 | 0.4119 | 200 | 0.5446 | -0.6533 | -1.3097 | 0.7031 | 0.6564 | -395.5632 | -321.9608 | 0.3951 | 0.2772 | |
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| 0.5319 | 0.6179 | 300 | 0.5262 | -0.6809 | -1.4161 | 0.7344 | 0.7353 | -406.2091 | -324.7231 | 0.4856 | 0.3738 | |
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| 0.5268 | 0.8239 | 400 | 0.5195 | -0.7599 | -1.5725 | 0.7344 | 0.8126 | -421.8436 | -332.6288 | 0.5181 | 0.3998 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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