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--- |
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library_name: peft |
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license: llama3.3 |
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base_model: meta-llama/Llama-3.3-70B-Instruct |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: Output_llama70B_70-15-15 |
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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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# Output_llama70B_70-15-15 |
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This model is a fine-tuned version of [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5734 |
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- Balanced Accuracy: 0.7044 |
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- Accuracy: 0.6923 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:| |
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| No log | 1.0 | 46 | 0.7989 | 0.5634 | 0.5449 | |
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| No log | 2.0 | 92 | 0.6930 | 0.5440 | 0.5449 | |
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| No log | 3.0 | 138 | 0.6273 | 0.6321 | 0.6026 | |
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| No log | 4.0 | 184 | 0.6713 | 0.5862 | 0.5833 | |
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| No log | 5.0 | 230 | 0.6085 | 0.6298 | 0.6218 | |
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| No log | 6.0 | 276 | 0.6010 | 0.6623 | 0.6538 | |
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| No log | 7.0 | 322 | 0.5909 | 0.6800 | 0.6731 | |
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| No log | 8.0 | 368 | 0.5874 | 0.6646 | 0.6603 | |
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| No log | 9.0 | 414 | 0.5819 | 0.6722 | 0.6667 | |
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| No log | 10.0 | 460 | 0.5734 | 0.7044 | 0.6923 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.45.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 2.18.0 |
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- Tokenizers 0.20.3 |
