| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: bert-base-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: twitter_trainer |
| 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. --> |
|
|
| # twitter_trainer |
| |
| This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7924 |
| - Accuracy: 86.8509 |
| - P: 102.7555 |
| - R: 100.3442 |
| - F1: 101.5355 |
| |
| ## 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: 5e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - 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 |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 7 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | P | R | F1 | |
| |:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:--------:|:--------:| |
| | 3.6245 | 1.0 | 597 | 0.4451 | 84.1709 | 99.8149 | 103.1569 | 101.4584 | |
| | 1.8323 | 2.0 | 1194 | 0.3794 | 86.0972 | 102.3665 | 100.0625 | 101.2014 | |
| | 1.233 | 3.0 | 1791 | 0.3715 | 87.5209 | 100.9234 | 102.3408 | 101.6272 | |
| | 0.9132 | 4.0 | 2388 | 0.5171 | 87.1022 | 102.4483 | 100.4991 | 101.4643 | |
| | 0.6928 | 5.0 | 2985 | 0.6683 | 86.9347 | 102.6526 | 100.5006 | 101.5652 | |
| | 0.4037 | 6.0 | 3582 | 0.7477 | 87.3534 | 101.8838 | 101.3746 | 101.6286 | |
| | 0.3334 | 6.9891 | 4172 | 0.7924 | 86.8509 | 102.7555 | 100.3442 | 101.5355 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.47.1 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
| |
