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--- |
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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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- alignment-handbook |
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- generated_from_trainer |
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datasets: |
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- Syed-Hasan-8503/orpo-40k-train-test |
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model-index: |
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- name: outputs |
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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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# outputs |
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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 the Syed-Hasan-8503/orpo-40k-train-test dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9751 |
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- Rewards/chosen: -3.4539 |
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- Rewards/rejected: -5.6604 |
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- Rewards/accuracies: 0.7613 |
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- Rewards/margins: 2.2065 |
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- Logps/rejected: -2.2642 |
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- Logps/chosen: -1.3816 |
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- Logits/rejected: -1.3683 |
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- Logits/chosen: -1.2117 |
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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: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 3 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 12 |
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- total_eval_batch_size: 12 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 200 |
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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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| 1.645 | 0.0140 | 50 | 1.2563 | -2.7945 | -3.7325 | 0.7027 | 0.9380 | -1.4930 | -1.1178 | -1.3468 | -1.1841 | |
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| 0.8722 | 0.0280 | 100 | 1.0619 | -3.0769 | -4.7343 | 0.7320 | 1.6574 | -1.8937 | -1.2308 | -1.3817 | -1.2196 | |
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| 1.0404 | 0.0419 | 150 | 0.9883 | -3.4545 | -5.6160 | 0.7545 | 2.1615 | -2.2464 | -1.3818 | -1.3639 | -1.2082 | |
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| 1.4672 | 0.0559 | 200 | 0.9751 | -3.4539 | -5.6604 | 0.7613 | 2.2065 | -2.2642 | -1.3816 | -1.3683 | -1.2117 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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