| --- |
| library_name: transformers |
| license: agpl-3.0 |
| base_model: RonTon05/model_content_V2_test |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: MTL_Frozen_backbone_binary_head |
| 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. --> |
|
|
| # MTL_Frozen_backbone_binary_head |
|
|
| 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: 1.4753 |
| - F1 Task1: 0.9972 |
| - F1 Task2: 0.1840 |
| - Acc Task1: 0.9984 |
| - Acc Task2: 0.4232 |
| - F1: 0.5906 |
| - F1 Macro: 0.5906 |
|
|
| ## 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: 2e-05 |
| - 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 | F1 Task1 | F1 Task2 | Acc Task1 | Acc Task2 | F1 | F1 Macro | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:---------:|:------:|:--------:| |
| | 1.7773 | 1.0 | 275 | 1.6048 | 0.9972 | 0.1044 | 0.9984 | 0.3675 | 0.5508 | 0.5508 | |
| | 1.6021 | 2.0 | 550 | 1.5769 | 0.9972 | 0.1191 | 0.9984 | 0.3766 | 0.5581 | 0.5581 | |
| | 1.5781 | 3.0 | 825 | 1.5521 | 0.9972 | 0.1375 | 0.9984 | 0.3914 | 0.5673 | 0.5673 | |
| | 1.5592 | 4.0 | 1100 | 1.5308 | 0.9972 | 0.1654 | 0.9984 | 0.4089 | 0.5813 | 0.5813 | |
| | 1.5428 | 5.0 | 1375 | 1.5133 | 0.9972 | 0.1702 | 0.9984 | 0.4112 | 0.5837 | 0.5837 | |
| | 1.5241 | 6.0 | 1650 | 1.4985 | 0.9972 | 0.1821 | 0.9984 | 0.4255 | 0.5896 | 0.5896 | |
| | 1.5147 | 7.0 | 1925 | 1.4875 | 0.9972 | 0.1758 | 0.9984 | 0.4180 | 0.5865 | 0.5865 | |
| | 1.4986 | 8.0 | 2200 | 1.4837 | 0.9972 | 0.1775 | 0.9984 | 0.4196 | 0.5873 | 0.5873 | |
| | 1.4979 | 9.0 | 2475 | 1.4764 | 0.9972 | 0.1843 | 0.9984 | 0.4239 | 0.5907 | 0.5907 | |
| | 1.4914 | 10.0 | 2750 | 1.4753 | 0.9972 | 0.1840 | 0.9984 | 0.4232 | 0.5906 | 0.5906 | |
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| ### Framework versions |
|
|
| - Transformers 5.10.1 |
| - Pytorch 2.7.1+cu118 |
| - Datasets 4.8.5 |
| - Tokenizers 0.22.2 |
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|
