1.77 kB
| --- | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - klue | |
| metrics: | |
| - f1 | |
| model-index: | |
| - name: bert-base-finetuned-ynat | |
| results: | |
| - task: | |
| name: Text Classification | |
| type: text-classification | |
| dataset: | |
| name: klue | |
| type: klue | |
| args: ynat | |
| metrics: | |
| - name: F1 | |
| type: f1 | |
| value: 0.8669116640755216 | |
| --- | |
| <!-- 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-base-finetuned-ynat | |
| This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the klue dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.3710 | |
| - F1: 0.8669 | |
| ## 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: 256 | |
| - eval_batch_size: 256 | |
| - 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 | F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | No log | 1.0 | 179 | 0.4223 | 0.8549 | | |
| | No log | 2.0 | 358 | 0.3710 | 0.8669 | | |
| | 0.2576 | 3.0 | 537 | 0.3891 | 0.8631 | | |
| | 0.2576 | 4.0 | 716 | 0.3968 | 0.8612 | | |
| | 0.2576 | 5.0 | 895 | 0.4044 | 0.8617 | | |
| ### Framework versions | |
| - Transformers 4.10.3 | |
| - Pytorch 1.9.0+cu102 | |
| - Datasets 1.12.1 | |
| - Tokenizers 0.10.3 | |