| --- |
| library_name: transformers |
| license: agpl-3.0 |
| base_model: RonTon05/model_content_V2_test |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: MTL_Full_Finetuning |
| 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_Full_Finetuning |
|
|
| 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: 0.9761 |
| - F1 Task1: 0.9899 |
| - F1 Task2: 0.7639 |
| - Acc Task1: 0.9943 |
| - Acc Task2: 0.7585 |
| - F1: 0.8769 |
| - F1 Macro: 0.8769 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:---------:|:------:|:--------:| |
| | 1.6340 | 1.0 | 275 | 1.2347 | 0.9871 | 0.2939 | 0.9927 | 0.5834 | 0.6405 | 0.6405 | |
| | 1.0585 | 2.0 | 550 | 0.9700 | 0.9898 | 0.5208 | 0.9943 | 0.6823 | 0.7553 | 0.7553 | |
| | 0.8066 | 3.0 | 825 | 0.9386 | 0.9852 | 0.6708 | 0.9916 | 0.7146 | 0.8280 | 0.8280 | |
| | 0.6469 | 4.0 | 1100 | 0.8487 | 0.9923 | 0.6977 | 0.9957 | 0.7294 | 0.8450 | 0.8450 | |
| | 0.5103 | 5.0 | 1375 | 0.8253 | 0.9887 | 0.7354 | 0.9936 | 0.7532 | 0.8620 | 0.8620 | |
| | 0.3982 | 6.0 | 1650 | 0.8406 | 0.9891 | 0.7503 | 0.9939 | 0.7546 | 0.8697 | 0.8697 | |
| | 0.3155 | 7.0 | 1925 | 0.8892 | 0.9891 | 0.7520 | 0.9939 | 0.7501 | 0.8705 | 0.8705 | |
| | 0.2617 | 8.0 | 2200 | 0.9669 | 0.9895 | 0.7513 | 0.9941 | 0.7503 | 0.8704 | 0.8704 | |
| | 0.2198 | 9.0 | 2475 | 0.9501 | 0.9899 | 0.7630 | 0.9943 | 0.7562 | 0.8764 | 0.8764 | |
| | 0.1932 | 10.0 | 2750 | 0.9761 | 0.9899 | 0.7639 | 0.9943 | 0.7585 | 0.8769 | 0.8769 | |
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|
| ### Framework versions |
|
|
| - Transformers 5.10.1 |
| - Pytorch 2.7.1+cu118 |
| - Datasets 4.8.5 |
| - Tokenizers 0.22.2 |
|
|
