---
base_model: Musixmatch/umberto-commoncrawl-cased-v1
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: contenuto_contenitore_ITA
  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. -->

# contenuto_contenitore_ITA

This model is a fine-tuned version of [Musixmatch/umberto-commoncrawl-cased-v1](https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5303
- F1: 0.7432
- Roc Auc: 0.7832
- Accuracy: 0.6942

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| 0.5931        | 1.0   | 521  | 0.5504          | 0.6764 | 0.7262  | 0.6254   |
| 0.503         | 2.0   | 1042 | 0.5087          | 0.6998 | 0.7493  | 0.6426   |
| 0.4325        | 3.0   | 1563 | 0.5069          | 0.7249 | 0.7691  | 0.6632   |
| 0.3799        | 4.0   | 2084 | 0.5123          | 0.7360 | 0.7767  | 0.6804   |
| 0.3379        | 5.0   | 2605 | 0.5303          | 0.7432 | 0.7832  | 0.6942   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2