| license: mit | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - f1 | |
| model-index: | |
| - name: bert-fine-grained | |
| 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. --> | |
| # bert-fine-grained | |
| This model is a fine-tuned version of [dbmdz/bert-base-turkish-uncased](https://huggingface.co/dbmdz/bert-base-turkish-uncased) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.1308 | |
| - Accuracy: 0.5761 | |
| - F1: 0.5655 | |
| ## 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: 4e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | |
| | 1.0917 | 1.0 | 2188 | 1.0668 | 0.5789 | 0.5448 | | |
| | 0.9603 | 2.0 | 4376 | 1.0620 | 0.5868 | 0.5718 | | |
| | 0.8047 | 3.0 | 6564 | 1.1308 | 0.5761 | 0.5655 | | |
| ### Framework versions | |
| - Transformers 4.21.2 | |
| - Pytorch 1.12.1+cu102 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |