metadata
tags:
- generated_from_trainer
datasets:
- thaiqa_squad
model-index:
- name: wangchanberta-base-att-spm-uncased-finetuned-th-squad
results: []
wangchanberta-base-att-spm-uncased-finetuned-th-squad
This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the thaiqa_squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.0395
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 |
---|---|---|---|
1.2114 | 1.0 | 1258 | 1.1932 |
0.9658 | 2.0 | 2516 | 1.0572 |
0.8971 | 3.0 | 3774 | 1.0395 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3