---
license: mit
tags:
- generated_from_trainer
model-index:
- name: bert-incl
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bert-incl

This model is a fine-tuned version of [dbmdz/bert-base-italian-cased](https://huggingface.co/dbmdz/bert-base-italian-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0004
- Acc: 1.0
- F1 Macro: 1.0
- F1 Weight: 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Acc    | F1 Macro | F1 Weight |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|
| 0.684         | 0.67  | 20   | 0.6378          | 0.5588 | 0.3585   | 0.4007    |
| 0.4681        | 1.33  | 40   | 0.1762          | 0.9559 | 0.9547   | 0.9556    |
| 0.0989        | 2.0   | 60   | 0.0058          | 1.0    | 1.0      | 1.0       |
| 0.0032        | 2.67  | 80   | 0.0009          | 1.0    | 1.0      | 1.0       |
| 0.0011        | 3.33  | 100  | 0.0005          | 1.0    | 1.0      | 1.0       |
| 0.0007        | 4.0   | 120  | 0.0004          | 1.0    | 1.0      | 1.0       |
| 0.0007        | 4.67  | 140  | 0.0004          | 1.0    | 1.0      | 1.0       |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3