metadata
tags:
- generated_from_trainer
model-index:
- name: REPEAT622_1_10_8
results: []
REPEAT622_1_10_8
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: 3.1449
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: 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3564 | 1.0 | 9531 | 0.6554 |
| 0.1645 | 2.0 | 19062 | 0.9331 |
| 0.1333 | 3.0 | 28593 | 1.1128 |
| 0.1148 | 4.0 | 38124 | 1.2805 |
| 0.1035 | 5.0 | 47655 | 1.9552 |
| 0.0875 | 6.0 | 57186 | 2.5004 |
| 0.0767 | 7.0 | 66717 | 2.9955 |
| 0.0684 | 8.0 | 76248 | 2.7516 |
| 0.0616 | 9.0 | 85779 | 2.9578 |
| 0.0572 | 10.0 | 95310 | 3.1449 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.13.1+cu116
- Datasets 1.17.0
- Tokenizers 0.10.3