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# bert-base-multilingual-cased-sst2-1

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the tmnam20/VieGLUE/SST2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4333
- Accuracy: 0.8842

## 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: 1
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3821        | 0.24  | 500  | 0.3799          | 0.8314   |
| 0.3198        | 0.48  | 1000 | 0.4079          | 0.8417   |
| 0.272         | 0.71  | 1500 | 0.3721          | 0.8670   |
| 0.2847        | 0.95  | 2000 | 0.3885          | 0.8567   |
| 0.1893        | 1.19  | 2500 | 0.4329          | 0.8589   |
| 0.2124        | 1.43  | 3000 | 0.4133          | 0.8532   |
| 0.2208        | 1.66  | 3500 | 0.3665          | 0.8773   |
| 0.2219        | 1.9   | 4000 | 0.4164          | 0.8601   |
| 0.1562        | 2.14  | 4500 | 0.4350          | 0.8635   |
| 0.1399        | 2.38  | 5000 | 0.4571          | 0.8761   |
| 0.1399        | 2.61  | 5500 | 0.4346          | 0.8796   |
| 0.1403        | 2.85  | 6000 | 0.4325          | 0.8819   |


### 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": ["accuracy"], "base_model": "bert-base-multilingual-cased", "model-index": [{"name": "bert-base-multilingual-cased-sst2-1", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "tmnam20/VieGLUE/SST2", "type": "tmnam20/VieGLUE", "config": "sst2", "split": "validation", "args": "sst2"}, "metrics": [{"type": "accuracy", "value": 0.8841743119266054, "name": "Accuracy"}]}]}]}
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