| --- |
| 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 |
| 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 |
| |
| 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: 0.9316 |
| - Accuracy: 0.6755 |
| - F1: 0.4286 |
| |
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 1.3757 | 1.0 | 330 | 1.2561 | 0.4734 | 0.1465 | |
| | 1.2316 | 2.0 | 660 | 1.1385 | 0.5831 | 0.2662 | |
| | 1.1559 | 3.0 | 990 | 1.0708 | 0.6375 | 0.3607 | |
| | 1.1027 | 4.0 | 1320 | 1.0156 | 0.6637 | 0.4096 | |
| | 1.0688 | 5.0 | 1650 | 0.9840 | 0.6608 | 0.4077 | |
| | 1.0474 | 6.0 | 1980 | 0.9621 | 0.6709 | 0.4164 | |
| | 1.0314 | 7.0 | 2310 | 0.9583 | 0.6645 | 0.4103 | |
| | 1.0212 | 8.0 | 2640 | 0.9407 | 0.6745 | 0.4258 | |
| | 1.0097 | 9.0 | 2970 | 0.9329 | 0.6758 | 0.4305 | |
| | 1.0096 | 10.0 | 3300 | 0.9316 | 0.6755 | 0.4286 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.1 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 4.4.1 |
| - Tokenizers 0.22.1 |
| |
