| --- |
| library_name: transformers |
| license: agpl-3.0 |
| base_model: RonTon05/model_content_V2_test |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: multi_task_model_content_test_22K |
| 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. --> |
|
|
| # multi_task_model_content_test_22K |
| |
| This model is a fine-tuned version of [RonTon05/model_content_V2_test](https://huggingface.co/RonTon05/model_content_V2_test) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9429 |
| - Accuracy: 0.7771 |
| - F1: 0.7808 |
| |
| ## 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: 64 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.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 | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 1.5127 | 1.0 | 292 | 1.0712 | 0.6152 | 0.3225 | |
| | 0.9098 | 2.0 | 584 | 0.8403 | 0.7041 | 0.5276 | |
| | 0.701 | 3.0 | 876 | 0.7457 | 0.7508 | 0.7122 | |
| | 0.5416 | 4.0 | 1168 | 0.7378 | 0.7608 | 0.7700 | |
| | 0.4139 | 5.0 | 1460 | 0.7585 | 0.7723 | 0.7802 | |
| | 0.3201 | 6.0 | 1752 | 0.8053 | 0.7708 | 0.7791 | |
| | 0.2549 | 7.0 | 2044 | 0.8727 | 0.7714 | 0.7810 | |
| | 0.2028 | 8.0 | 2336 | 0.9825 | 0.7583 | 0.7741 | |
| | 0.1688 | 9.0 | 2628 | 0.9506 | 0.7756 | 0.7811 | |
| | 0.1449 | 10.0 | 2920 | 0.9429 | 0.7771 | 0.7808 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.1 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 4.4.1 |
| - Tokenizers 0.22.1 |
| |
