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---
tags:
- generated_from_trainer
model-index:
- name: dioBERTo
  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. -->

# dioBERTo

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3351

## 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: 5e-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: 10.0

### Training results

| Training Loss | Epoch | Step    | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7013        | 1.0   | 341422  | 4.8813          |
| 4.2866        | 2.0   | 682844  | 4.4422          |
| 4.0496        | 3.0   | 1024266 | 4.2132          |
| 3.8503        | 4.0   | 1365688 | 4.0246          |
| 3.6917        | 5.0   | 1707110 | 3.8756          |
| 3.4917        | 6.0   | 2048532 | 3.7381          |
| 3.3907        | 7.0   | 2389954 | 3.6107          |
| 3.2876        | 8.0   | 2731376 | 3.5044          |
| 3.1994        | 9.0   | 3072798 | 3.3980          |
| 3.0806        | 10.0  | 3414220 | 3.3095          |


### Framework versions

- Transformers 4.13.0.dev0
- Pytorch 1.10.0+cu102
- Datasets 1.14.0
- Tokenizers 0.10.3