| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - lst20 | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: premodel | |
| results: | |
| - task: | |
| name: Token Classification | |
| type: token-classification | |
| dataset: | |
| name: lst20 | |
| type: lst20 | |
| config: default | |
| split: train | |
| args: default | |
| metrics: | |
| - name: Precision | |
| type: precision | |
| value: 0.8533733110439704 | |
| - name: Recall | |
| type: recall | |
| value: 0.8653846153846154 | |
| - name: F1 | |
| type: f1 | |
| value: 0.8593369935367294 | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.9477067610537897 | |
| <!-- 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. --> | |
| # premodel | |
| This model is a fine-tuned version of [Geotrend/bert-base-th-cased](https://huggingface.co/Geotrend/bert-base-th-cased) on the lst20 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1761 | |
| - Precision: 0.8534 | |
| - Recall: 0.8654 | |
| - F1: 0.8593 | |
| - Accuracy: 0.9477 | |
| ## 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: 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: 3.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.24.0 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.7.0 | |
| - Tokenizers 0.13.2 | |