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# u_best_model_9

This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0587
- Accuracy: 1.0

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 25   | 0.6968          | 0.8864   |
| No log        | 2.0   | 50   | 0.2604          | 0.9716   |
| No log        | 3.0   | 75   | 0.1677          | 0.9659   |
| No log        | 4.0   | 100  | 0.1441          | 0.9773   |
| No log        | 5.0   | 125  | 0.1309          | 0.9773   |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.1+cu117
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "vinai/phobert-base-v2", "model-index": [{"name": "u_best_model_9", "results": []}]}
transformers safetensors roberta text-classification generated_from_trainer base_model:vinai/phobert-base-v2 autotrain_compatible endpoints_compatible region:us