metadata
tags:
- generated_from_trainer
model-index:
- name: wangchanberta-base-att-spm-uncased-masking
results: []
wangchanberta-base-att-spm-uncased-masking
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: 0.0452
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: 1
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.097 | 1.0 | 375 | 0.0452 |
Framework versions
- Transformers 4.15.0
- Pytorch 2.3.0+cu121
- Datasets 1.17.0
- Tokenizers 0.10.3