premodel
This model is a fine-tuned version of 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
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Dataset used to train CSAPS/premodel
Evaluation results
- Precision on lst20self-reported0.853
- Recall on lst20self-reported0.865
- F1 on lst20self-reported0.859
- Accuracy on lst20self-reported0.948