Trained model with classification head weights

README.md

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+---
+library_name: transformers
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: defect-classification-llama-baseline-10-epochs
+  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. -->
+
+# defect-classification-llama-baseline-10-epochs
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.2633
+- Accuracy: 0.9165
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 512
+- eval_batch_size: 512
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.8939        | 1.0   | 1062  | 0.8390          | 0.8097   |
+| 0.5659        | 2.0   | 2124  | 0.5772          | 0.8416   |
+| 0.4494        | 3.0   | 3186  | 0.5062          | 0.8610   |
+| 0.3925        | 4.0   | 4248  | 0.4691          | 0.8758   |
+| 0.3508        | 5.0   | 5310  | 0.3363          | 0.8998   |
+| 0.3107        | 6.0   | 6372  | 0.3099          | 0.9026   |
+| 0.2938        | 7.0   | 7434  | 0.2935          | 0.9087   |
+| 0.2864        | 8.0   | 8496  | 0.2787          | 0.9124   |
+| 0.2675        | 9.0   | 9558  | 0.2777          | 0.9105   |
+| 0.2673        | 10.0  | 10620 | 0.2633          | 0.9165   |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0