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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# primo_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: 0.1242
- Accuracy: 0.9833

## 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: 1e-05
- train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.226         | 1.33  | 500  | 0.1270          | 0.9667   |
| 0.0862        | 2.67  | 1000 | 0.2057          | 0.96     |
| 0.062         | 4.0   | 1500 | 0.1196          | 0.9767   |
| 0.0007        | 5.33  | 2000 | 0.1146          | 0.9817   |
| 0.0004        | 6.67  | 2500 | 0.1365          | 0.98     |
| 0.0004        | 8.0   | 3000 | 0.1369          | 0.9817   |
| 0.0003        | 9.33  | 3500 | 0.1242          | 0.9833   |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0