---
tags:
- generated_from_trainer
model-index:
- name: legal-italian-roberta-base
  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. -->

# legal-italian-roberta-base

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4799

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: tpu
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 1000000

### Training results

| Training Loss | Epoch | Step    | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 1.0248        | 0.05  | 50000   | 0.8033          |
| 0.912         | 0.1   | 100000  | 0.6825          |
| 0.8853        | 1.0   | 150000  | 0.6205          |
| 0.847         | 1.05  | 200000  | 0.5954          |
| 0.8395        | 1.1   | 250000  | 0.5859          |
| 0.7485        | 2.01  | 300000  | 0.5632          |
| 0.7154        | 2.06  | 350000  | 0.5495          |
| 0.6851        | 2.11  | 400000  | 0.5456          |
| 0.6074        | 3.01  | 450000  | 0.5331          |
| 0.6296        | 3.06  | 500000  | 0.5226          |
| 0.6125        | 3.11  | 550000  | 0.5146          |
| 0.5983        | 4.02  | 600000  | 0.5038          |
| 0.6471        | 4.07  | 650000  | 0.4976          |
| 0.633         | 4.12  | 700000  | 0.4982          |
| 0.6917        | 5.02  | 750000  | 0.4906          |
| 0.7178        | 5.07  | 800000  | 0.4833          |
| 0.6988        | 5.12  | 850000  | 0.4754          |
| 0.7135        | 6.02  | 900000  | 0.4734          |
| 0.7269        | 6.07  | 950000  | 0.4826          |
| 0.7085        | 6.12  | 1000000 | 0.4799          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.8.0
- Tokenizers 0.12.1