---
license: mit
base_model: neuraly/bert-base-italian-cased-sentiment
tags:
- generated_from_trainer
datasets:
- tweet_sentiment_multilingual
metrics:
- accuracy
model-index:
- name: sentiment_ita
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: tweet_sentiment_multilingual
      type: tweet_sentiment_multilingual
      config: italian
      split: validation
      args: italian
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.6851851851851852
---

<!-- 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. -->

# sentiment_ita

This model is a fine-tuned version of [neuraly/bert-base-italian-cased-sentiment](https://huggingface.co/neuraly/bert-base-italian-cased-sentiment) on the tweet_sentiment_multilingual dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5004
- Accuracy: 0.6852

## 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: 4e-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: 800
- num_epochs: 14

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 171  | 0.8112          | 0.6481   |
| 0.9213        | 2.0   | 342  | 0.7370          | 0.6728   |
| 0.9213        | 3.0   | 513  | 0.8245          | 0.6944   |
| 0.3466        | 4.0   | 684  | 1.1194          | 0.6790   |
| 0.3466        | 5.0   | 855  | 1.6827          | 0.6667   |
| 0.1383        | 6.0   | 1026 | 2.0184          | 0.6883   |
| 0.1383        | 7.0   | 1197 | 2.0243          | 0.6975   |
| 0.0647        | 8.0   | 1368 | 2.2284          | 0.6790   |
| 0.0647        | 9.0   | 1539 | 2.3231          | 0.6914   |
| 0.0203        | 10.0  | 1710 | 2.3428          | 0.7068   |
| 0.0203        | 11.0  | 1881 | 2.5525          | 0.6852   |
| 0.0065        | 12.0  | 2052 | 2.4998          | 0.6821   |
| 0.0065        | 13.0  | 2223 | 2.4901          | 0.6790   |
| 0.0058        | 14.0  | 2394 | 2.5004          | 0.6852   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1
- Datasets 2.15.0
- Tokenizers 0.15.0