| --- |
| 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: 2.5078 |
| - Accuracy: 0.0271 |
| - F1: 0.0066 |
|
|
| ## 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: 1e-07 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 2.4814 | 1.0 | 330 | 2.5078 | 0.0271 | 0.0066 | |
| | 2.4772 | 2.0 | 660 | 2.5078 | 0.0271 | 0.0066 | |
| | 2.4791 | 3.0 | 990 | 2.5078 | 0.0271 | 0.0066 | |
| | 2.4789 | 4.0 | 1320 | 2.5078 | 0.0271 | 0.0066 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.57.1 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 4.4.1 |
| - Tokenizers 0.22.1 |
|
|
