| --- |
| base_model: meta-llama/Llama-3.2-1B |
| library_name: peft |
| license: llama3.2 |
| metrics: |
| - accuracy |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: basic_text_classification |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # basic_text_classification |
|
|
| This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0742 |
| - Accuracy: 0.9738 |
|
|
| ## 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 |
|
|
| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 223 | 0.1102 | 0.9570 | |
| | No log | 2.0 | 446 | 0.0742 | 0.9738 | |
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| ### Framework versions |
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| - PEFT 0.10.0 |
| - Transformers 4.45.2 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.20.1 |
