| --- |
| 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_freeze_encoder_2048_8 |
| 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_freeze_encoder_2048_8 |
| |
| 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: 0.8441 |
| - Accuracy: 0.6952 |
| - F1: 0.4707 |
| |
| ## 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: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 1.3077 | 1.0 | 330 | 1.1435 | 0.5855 | 0.2698 | |
| | 1.127 | 2.0 | 660 | 1.0268 | 0.6204 | 0.3367 | |
| | 1.0532 | 3.0 | 990 | 0.9587 | 0.6595 | 0.4240 | |
| | 1.0091 | 4.0 | 1320 | 0.9028 | 0.6829 | 0.4461 | |
| | 0.9842 | 5.0 | 1650 | 0.8887 | 0.6783 | 0.4405 | |
| | 0.9671 | 6.0 | 1980 | 0.8665 | 0.6897 | 0.4568 | |
| | 0.955 | 7.0 | 2310 | 0.8712 | 0.6887 | 0.4619 | |
| | 0.9468 | 8.0 | 2640 | 0.8543 | 0.6885 | 0.4584 | |
| | 0.936 | 9.0 | 2970 | 0.8436 | 0.6975 | 0.4721 | |
| | 0.9376 | 10.0 | 3300 | 0.8441 | 0.6952 | 0.4707 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.1 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 4.4.1 |
| - Tokenizers 0.22.1 |
| |
