---
library_name: transformers
license: mit
base_model: dbmdz/electra-base-italian-xxl-cased-discriminator
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: electra-base-italian-xxl-cased-discriminator-sentence-splitter
  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. -->

# electra-base-italian-xxl-cased-discriminator-sentence-splitter

This model is a fine-tuned version of [dbmdz/electra-base-italian-xxl-cased-discriminator](https://huggingface.co/dbmdz/electra-base-italian-xxl-cased-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0116
- F1: 0.9938

## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 49   | 0.0064          | 0.9771 |
| No log        | 2.0   | 98   | 0.0039          | 0.9861 |
| No log        | 3.0   | 147  | 0.0036          | 0.9922 |
| No log        | 4.0   | 196  | 0.0079          | 0.9922 |
| No log        | 5.0   | 245  | 0.0103          | 0.9907 |
| No log        | 6.0   | 294  | 0.0021          | 0.9922 |
| No log        | 7.0   | 343  | 0.0084          | 0.9907 |
| No log        | 8.0   | 392  | 0.0028          | 0.9922 |
| No log        | 9.0   | 441  | 0.0040          | 0.9922 |
| No log        | 10.0  | 490  | 0.0035          | 0.9922 |
| 0.018         | 11.0  | 539  | 0.0040          | 0.9922 |
| 0.018         | 12.0  | 588  | 0.0019          | 0.9938 |
| 0.018         | 13.0  | 637  | 0.0028          | 0.9922 |
| 0.018         | 14.0  | 686  | 0.0059          | 0.9922 |
| 0.018         | 15.0  | 735  | 0.0134          | 0.9922 |
| 0.018         | 16.0  | 784  | 0.0073          | 0.9938 |
| 0.018         | 17.0  | 833  | 0.0099          | 0.9938 |
| 0.018         | 18.0  | 882  | 0.0070          | 0.9938 |
| 0.018         | 19.0  | 931  | 0.0066          | 0.9922 |
| 0.018         | 20.0  | 980  | 0.0095          | 0.9938 |
| 0.0004        | 21.0  | 1029 | 0.0099          | 0.9938 |
| 0.0004        | 22.0  | 1078 | 0.0115          | 0.9938 |
| 0.0004        | 23.0  | 1127 | 0.0114          | 0.9938 |
| 0.0004        | 24.0  | 1176 | 0.0106          | 0.9938 |
| 0.0004        | 25.0  | 1225 | 0.0114          | 0.9938 |
| 0.0004        | 26.0  | 1274 | 0.0115          | 0.9938 |
| 0.0004        | 27.0  | 1323 | 0.0116          | 0.9938 |
| 0.0004        | 28.0  | 1372 | 0.0116          | 0.9938 |
| 0.0004        | 29.0  | 1421 | 0.0116          | 0.9938 |
| 0.0004        | 30.0  | 1470 | 0.0116          | 0.9938 |


### Framework versions

- Transformers 4.55.2
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.4