| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: roberta-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: roberta-base-pan-clef-subtask2 |
| | 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. --> |
| |
|
| | # roberta-base-pan-clef-subtask2 |
| |
|
| | This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.4936 |
| | - Micro F1: 0.5654 |
| | - Macro F1: 0.6413 |
| | - Macro Recall: 0.7827 |
| | - Accuracy: 0.5654 |
| |
|
| | ## 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: 3e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 64 |
| | - optimizer: Use 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: 2 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Micro F1 | Macro F1 | Macro Recall | Accuracy | |
| | |:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:------------:|:--------:| |
| | | 0.1032 | 1.0 | 4515 | 3.0365 | 0.5613 | 0.6005 | 0.7793 | 0.5613 | |
| | | 0.0501 | 1.9997 | 9028 | 3.4936 | 0.5654 | 0.6413 | 0.7827 | 0.5654 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.51.3 |
| | - Pytorch 2.7.0+cu126 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
| | |
