<!-- 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. -->
my_awesome_wnut_model
This model is a fine-tuned version of Geotrend/bert-base-th-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0923
- Precision: 0.9514
- Recall: 0.9528
- F1: 0.9521
- Accuracy: 0.9691
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: 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1165 | 1.0 | 7344 | 0.1072 | 0.9459 | 0.9454 | 0.9456 | 0.9653 |
| 0.0882 | 2.0 | 14688 | 0.0923 | 0.9514 | 0.9528 | 0.9521 | 0.9691 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
