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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-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-v0.1-p-2-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: 0.0114 |
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- Rewards/chosen: -180.9830 |
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- Rewards/rejected: -175.0705 |
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- Rewards/accuracies: 0.4395 |
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- Rewards/margins: -5.9126 |
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- Logps/rejected: -17593.8047 |
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- Logps/chosen: -18186.5996 |
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- Logits/rejected: -7.0208 |
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- Logits/chosen: -7.0530 |
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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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| 0.1446 | 0.2137 | 100 | 0.0699 | -18.5094 | -17.6715 | 0.4919 | -0.8378 | -1853.9094 | -1939.2302 | -1.3162 | -1.3101 | |
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| 0.014 | 0.4275 | 200 | 0.0129 | -163.4562 | -159.6935 | 0.4556 | -3.7627 | -16056.1084 | -16433.9180 | -5.9717 | -5.9933 | |
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| 0.0162 | 0.6412 | 300 | 0.0155 | -112.5662 | -107.6031 | 0.4516 | -4.9631 | -10847.0625 | -11344.9082 | -6.2349 | -6.2804 | |
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| 0.0108 | 0.8549 | 400 | 0.0121 | -183.4940 | -177.6753 | 0.4435 | -5.8188 | -17854.2852 | -18437.6973 | -7.0250 | -7.0544 | |
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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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