| --- |
| 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 |
| 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 |
|
|
| 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: 0.7566 |
| - Accuracy: 0.7193 |
| - F1: 0.5747 |
|
|
| ## 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: 0.0001 |
| - 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: 15 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 1.2964 | 1.0 | 330 | 1.0605 | 0.5994 | 0.2868 | |
| | 1.0642 | 2.0 | 660 | 0.9130 | 0.6728 | 0.4183 | |
| | 0.9992 | 3.0 | 990 | 0.9178 | 0.6535 | 0.4183 | |
| | 0.9593 | 4.0 | 1320 | 0.8611 | 0.6823 | 0.4487 | |
| | 0.9419 | 5.0 | 1650 | 0.8100 | 0.7050 | 0.4809 | |
| | 0.9218 | 6.0 | 1980 | 0.8000 | 0.7054 | 0.4725 | |
| | 0.9183 | 7.0 | 2310 | 0.8177 | 0.6952 | 0.4968 | |
| | 0.8991 | 8.0 | 2640 | 0.7862 | 0.7079 | 0.5189 | |
| | 0.8906 | 9.0 | 2970 | 0.8415 | 0.6770 | 0.5129 | |
| | 0.8845 | 10.0 | 3300 | 0.7854 | 0.7047 | 0.5426 | |
| | 0.8842 | 11.0 | 3630 | 0.7696 | 0.7138 | 0.5485 | |
| | 0.8661 | 12.0 | 3960 | 0.7576 | 0.7198 | 0.5542 | |
| | 0.8732 | 13.0 | 4290 | 0.7771 | 0.7096 | 0.5569 | |
| | 0.8647 | 14.0 | 4620 | 0.7584 | 0.7189 | 0.5666 | |
| | 0.8659 | 15.0 | 4950 | 0.7566 | 0.7193 | 0.5747 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.57.1 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 4.4.1 |
| - Tokenizers 0.22.1 |
|
|
