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# distilbert-base-multilingual-cased-JaQuAD

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the ja_qu_ad dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8854

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1814        | 1.0   | 1588 | 0.9811          |
| 0.8336        | 2.0   | 3176 | 0.8850          |
| 0.6443        | 3.0   | 4764 | 0.8854          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ja_qu_ad"], "base_model": "distilbert-base-multilingual-cased", "model-index": [{"name": "distilbert-base-multilingual-cased-JaQuAD", "results": []}]}
transformers tensorboard safetensors distilbert question-answering generated_from_trainer dataset:ja_qu_ad base_model:distilbert-base-multilingual-cased license:apache-2.0 endpoints_compatible region:us