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# app_prova2

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1559
- Accuracy: 0.935

## 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: 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4056        | 0.53  | 100  | 1.3185          | 0.4267   |
| 1.3194        | 1.06  | 200  | 1.1961          | 0.4933   |
| 1.2148        | 1.6   | 300  | 1.0185          | 0.6167   |
| 0.9494        | 2.13  | 400  | 0.8830          | 0.6567   |
| 0.9645        | 2.66  | 500  | 0.7196          | 0.7433   |
| 0.6089        | 3.19  | 600  | 0.5523          | 0.8017   |
| 0.7564        | 3.72  | 700  | 0.4789          | 0.83     |
| 0.5319        | 4.26  | 800  | 0.3553          | 0.8683   |
| 0.3567        | 4.79  | 900  | 0.2926          | 0.88     |
| 0.2969        | 5.32  | 1000 | 0.2558          | 0.89     |
| 0.2578        | 5.85  | 1100 | 0.2054          | 0.9217   |
| 0.3002        | 6.38  | 1200 | 0.1744          | 0.9333   |
| 0.293         | 6.91  | 1300 | 0.1620          | 0.9483   |
| 0.132         | 7.45  | 1400 | 0.1646          | 0.92     |
| 0.1836        | 7.98  | 1500 | 0.1559          | 0.935    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "app_prova2", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us