metadata
base_model: airesearch/wangchanberta-base-att-spm-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sentiment-finnlp-th
results: []
sentiment-finnlp-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: 1.4313
- Accuracy: 0.7352
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: 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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7732 | 1.0 | 512 | 0.7954 | 0.6452 |
| 0.5449 | 2.0 | 1024 | 0.6498 | 0.7289 |
| 0.3744 | 3.0 | 1536 | 0.7705 | 0.7318 |
| 0.2475 | 4.0 | 2048 | 1.0368 | 0.7358 |
| 0.1818 | 5.0 | 2560 | 1.1335 | 0.7392 |
| 0.1383 | 6.0 | 3072 | 1.3119 | 0.7358 |
| 0.0896 | 7.0 | 3584 | 1.4313 | 0.7352 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3