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# bert-base-multilingual-cased-cola-10

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the tmnam20/VieGLUE/COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6448
- Matthews Correlation: 0.1009

## 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: 32
- eval_batch_size: 16
- seed: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.5762        | 1.87  | 500  | 0.6181          | 0.0372               |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.2.0.dev20231203+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["tmnam20/VieGLUE"], "metrics": ["matthews_correlation"], "base_model": "bert-base-multilingual-cased", "model-index": [{"name": "bert-base-multilingual-cased-cola-10", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "tmnam20/VieGLUE/COLA", "type": "tmnam20/VieGLUE", "config": "cola", "split": "validation", "args": "cola"}, "metrics": [{"type": "matthews_correlation", "value": 0.1009230023823325, "name": "Matthews Correlation"}]}]}]}
transformers safetensors bert text-classification generated_from_trainer en dataset:tmnam20/VieGLUE base_model:bert-base-multilingual-cased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us