---
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: prova_modello
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# prova_modello

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0881
- Accuracy: 0.9867

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1013        | 1.6   | 300  | 0.1481          | 0.965    |
| 0.0026        | 3.19  | 600  | 0.0905          | 0.98     |
| 0.002         | 4.79  | 900  | 0.0751          | 0.9867   |
| 0.001         | 6.38  | 1200 | 0.0892          | 0.985    |
| 0.0004        | 7.98  | 1500 | 0.0747          | 0.99     |
| 0.0004        | 9.57  | 1800 | 0.0881          | 0.9867   |


### Framework versions

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