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--- |
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library_name: transformers |
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license: llama3.2 |
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base_model: meta-llama/Llama-3.2-1B |
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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: defect-classification-llama-baseline-15-epochs |
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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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# defect-classification-llama-baseline-15-epochs |
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1984 |
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- Accuracy: 0.9311 |
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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: 2e-05 |
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- train_batch_size: 512 |
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- eval_batch_size: 512 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.8391 | 1.0 | 1062 | 0.8638 | 0.8010 | |
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| 0.5603 | 2.0 | 2124 | 0.5259 | 0.8492 | |
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| 0.4341 | 3.0 | 3186 | 0.4449 | 0.8659 | |
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| 0.3805 | 4.0 | 4248 | 0.4048 | 0.8587 | |
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| 0.3143 | 5.0 | 5310 | 0.3020 | 0.8974 | |
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| 0.2891 | 6.0 | 6372 | 0.2881 | 0.9011 | |
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| 0.2728 | 7.0 | 7434 | 0.2790 | 0.9036 | |
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| 0.305 | 8.0 | 8496 | 0.2568 | 0.9114 | |
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| 0.2382 | 9.0 | 9558 | 0.2377 | 0.9179 | |
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| 0.2258 | 10.0 | 10620 | 0.2202 | 0.9229 | |
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| 0.2202 | 11.0 | 11682 | 0.2180 | 0.9248 | |
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| 0.2153 | 12.0 | 12744 | 0.2249 | 0.9234 | |
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| 0.2026 | 13.0 | 13806 | 0.2039 | 0.9294 | |
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| 0.1972 | 14.0 | 14868 | 0.2009 | 0.9293 | |
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| 0.1987 | 15.0 | 15930 | 0.1984 | 0.9311 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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