| --- |
| library_name: peft |
| license: agpl-3.0 |
| base_model: RonTon05/model_content_V2_test |
| tags: |
| - lora |
| 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: 1.7753 |
| - Accuracy: 0.4753 |
| - F1: 0.5099 |
| |
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 2.0293 | 1.0 | 330 | 1.9741 | 0.2832 | 0.1707 | |
| | 1.9647 | 2.0 | 660 | 1.9200 | 0.3949 | 0.2933 | |
| | 1.9221 | 3.0 | 990 | 1.8736 | 0.4171 | 0.3336 | |
| | 1.8875 | 4.0 | 1320 | 1.8436 | 0.4211 | 0.3419 | |
| | 1.8633 | 5.0 | 1650 | 1.8225 | 0.4380 | 0.3739 | |
| | 1.8451 | 6.0 | 1980 | 1.8029 | 0.4596 | 0.4718 | |
| | 1.8321 | 7.0 | 2310 | 1.7910 | 0.4717 | 0.5035 | |
| | 1.8214 | 8.0 | 2640 | 1.7819 | 0.4710 | 0.4954 | |
| | 1.8139 | 9.0 | 2970 | 1.7764 | 0.4744 | 0.5062 | |
| | 1.8101 | 10.0 | 3300 | 1.7753 | 0.4753 | 0.5099 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.16.0 |
| - Transformers 4.57.1 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 4.4.1 |
| - Tokenizers 0.22.1 |
