Edit model card

bert-base-italian-uncased-finetuned-ComunaliRoma

This model is a fine-tuned version of dbmdz/bert-base-italian-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.0398

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: 3.0

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 156 3.1907
No log 2.0 312 3.0522
No log 3.0 468 3.0203

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.13.3
  • Tokenizers 0.10.3
Downloads last month
2
Hosted inference API
Fill-Mask
Examples
Examples
Mask token: [MASK]
This model can be loaded on the Inference API on-demand.

Evaluation results