Trained model with classification head weights
Browse files
README.md
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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-25-epochs-MAIL-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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# defect-classification-llama-baseline-25-epochs-MAIL-15
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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: 0.2285
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- Accuracy: 0.9239
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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: 1536
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- eval_batch_size: 1536
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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: 25
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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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| 1.4712 | 1.0 | 354 | 1.3872 | 0.7466 |
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| 0.944 | 2.0 | 708 | 0.9087 | 0.7794 |
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| 0.7409 | 3.0 | 1062 | 0.7188 | 0.8174 |
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| 0.6044 | 4.0 | 1416 | 0.5781 | 0.8373 |
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| 0.5294 | 5.0 | 1770 | 0.5239 | 0.8371 |
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| 0.4728 | 6.0 | 2124 | 0.4699 | 0.8534 |
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| 0.4288 | 7.0 | 2478 | 0.4105 | 0.8686 |
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| 0.4065 | 8.0 | 2832 | 0.3832 | 0.8753 |
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| 0.3705 | 9.0 | 3186 | 0.3526 | 0.8822 |
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| 0.3441 | 10.0 | 3540 | 0.3338 | 0.8938 |
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| 0.332 | 11.0 | 3894 | 0.3195 | 0.8949 |
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| 0.3188 | 12.0 | 4248 | 0.2982 | 0.9029 |
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| 0.3093 | 13.0 | 4602 | 0.2908 | 0.9041 |
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| 0.2831 | 14.0 | 4956 | 0.2835 | 0.9056 |
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| 0.2764 | 15.0 | 5310 | 0.2697 | 0.9114 |
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| 0.2689 | 16.0 | 5664 | 0.2679 | 0.9114 |
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| 0.2618 | 17.0 | 6018 | 0.2623 | 0.9159 |
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| 0.2568 | 18.0 | 6372 | 0.2589 | 0.9108 |
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| 0.2533 | 19.0 | 6726 | 0.2474 | 0.9156 |
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| 0.2497 | 20.0 | 7080 | 0.2438 | 0.9164 |
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| 0.2428 | 21.0 | 7434 | 0.2393 | 0.9203 |
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| 0.2402 | 22.0 | 7788 | 0.2330 | 0.9223 |
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| 0.236 | 23.0 | 8142 | 0.2323 | 0.9230 |
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| 0.2359 | 24.0 | 8496 | 0.2297 | 0.9235 |
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| 0.2342 | 25.0 | 8850 | 0.2285 | 0.9239 |
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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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