metadata
base_model: airesearch/wangchanberta-base-att-spm-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: sentence-tokenizer-th
results: []
sentence-tokenizer-th
This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1955
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9244
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2171 | 1.0 | 9624 | 0.1903 | 0.0 | 0.0 | 0.0 | 0.9239 |
| 0.1923 | 2.0 | 19248 | 0.1868 | 0.0 | 0.0 | 0.0 | 0.9253 |
| 0.1645 | 3.0 | 28872 | 0.1955 | 0.0 | 0.0 | 0.0 | 0.9244 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1