metadata
tags:
- generated_from_trainer
model-index:
- name: bert-multi-cased-finetuned-xquadv1-finetuned-thai-squad
results: []
bert-multi-cased-finetuned-xquadv1-finetuned-thai-squad
This model is a fine-tuned version of mrm8488/bert-multi-cased-finetuned-xquadv1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1563
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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 |
|---|---|---|---|
| 0.9912 | 1.0 | 2691 | 1.0653 |
| 0.7646 | 2.0 | 5382 | 0.9882 |
| 0.4251 | 3.0 | 8073 | 1.1563 |
Framework versions
- Transformers 4.12.3
- Pytorch 1.9.0+cu111
- Datasets 1.15.1
- Tokenizers 0.10.3