---
tags:
- generated_from_trainer
model-index:
- name: bert-multi-cased-finetuned-xquadv1-finetuned-thai-squad
  results: []
---

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# bert-multi-cased-finetuned-xquadv1-finetuned-thai-squad

This model is a fine-tuned version of [mrm8488/bert-multi-cased-finetuned-xquadv1](https://huggingface.co/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