---
base_model: Musixmatch/umberto-commoncrawl-cased-v1
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: target_classification_ita_correlations
  results: []
---

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

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: 0.2819
- F1: 0.4706
- Roc Auc: 0.6871
- Accuracy: 0.8351

## 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: 8
- eval_batch_size: 8
- 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 | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 291  | 0.2433          | 0.0    | 0.5     | 0.8265   |
| 0.2713        | 2.0   | 582  | 0.2193          | 0.3151 | 0.5994  | 0.8402   |
| 0.2713        | 3.0   | 873  | 0.2360          | 0.3922 | 0.6318  | 0.8488   |
| 0.1809        | 4.0   | 1164 | 0.2863          | 0.2985 | 0.5898  | 0.8488   |
| 0.1809        | 5.0   | 1455 | 0.3117          | 0.25   | 0.5735  | 0.8351   |
| 0.1173        | 6.0   | 1746 | 0.2819          | 0.4706 | 0.6871  | 0.8351   |
| 0.0808        | 7.0   | 2037 | 0.3277          | 0.3226 | 0.6053  | 0.8282   |
| 0.0808        | 8.0   | 2328 | 0.3416          | 0.3797 | 0.6294  | 0.8402   |
| 0.0507        | 9.0   | 2619 | 0.3316          | 0.4046 | 0.6478  | 0.8299   |
| 0.0507        | 10.0  | 2910 | 0.3661          | 0.3659 | 0.6266  | 0.8299   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1