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