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--- |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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library_name: peft |
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license: llama3 |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: results_1 |
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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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# results_1 |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5411 |
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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-05 |
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- train_batch_size: 3 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_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: linear |
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- num_epochs: 12 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 0.7711 | 1.1844 | 53 | 0.6969 | |
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| 0.614 | 2.3687 | 106 | 0.6113 | |
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| 0.5994 | 3.5531 | 159 | 0.5945 | |
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| 0.5602 | 4.7374 | 212 | 0.5745 | |
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| 0.5807 | 5.9218 | 265 | 0.5630 | |
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| 0.5484 | 7.1061 | 318 | 0.5532 | |
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| 0.543 | 8.2905 | 371 | 0.5472 | |
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| 0.4977 | 9.4749 | 424 | 0.5436 | |
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| 0.5072 | 10.6592 | 477 | 0.5411 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.42.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
