| | --- |
| | license: mit |
| | base_model: Tommert25/RobBERTBestModelOct11 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: RobBERTBestModelOct13 |
| | 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. --> |
| |
|
| | # RobBERTBestModelOct13 |
| |
|
| | This model is a fine-tuned version of [Tommert25/RobBERTBestModelOct11](https://huggingface.co/Tommert25/RobBERTBestModelOct11) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 0.3695 |
| | - eval_precisions: 0.8647 |
| | - eval_recall: 0.8151 |
| | - eval_f-measure: 0.8341 |
| | - eval_accuracy: 0.9448 |
| | - eval_runtime: 9.7585 |
| | - eval_samples_per_second: 82.698 |
| | - eval_steps_per_second: 5.226 |
| | - step: 0 |
| |
|
| | ## 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: 7.5e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 14 |
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| |
|
