| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: new-test-model | |
| 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. --> | |
| # new-test-model | |
| This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0962 | |
| - Precision: 0.9704 | |
| - Recall: 0.9766 | |
| - F1: 0.9735 | |
| - Accuracy: 0.9791 | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| | No log | 1.0 | 151 | 0.1872 | 0.9295 | 0.9405 | 0.9349 | 0.9535 | | |
| | No log | 2.0 | 302 | 0.1417 | 0.9574 | 0.9652 | 0.9613 | 0.9679 | | |
| | No log | 3.0 | 453 | 0.1028 | 0.9676 | 0.9693 | 0.9684 | 0.9742 | | |
| | 0.3037 | 4.0 | 604 | 0.1063 | 0.9676 | 0.9696 | 0.9686 | 0.9743 | | |
| | 0.3037 | 5.0 | 755 | 0.0962 | 0.9704 | 0.9766 | 0.9735 | 0.9791 | | |
| ### Framework versions | |
| - Transformers 4.18.0 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.12.1 | |