bert-base-italian-xxl-uncased-finetuned-ComunaliRoma

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

• Loss: 2.5095

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
2.6717	1.0	1014	2.6913
2.4869	2.0	2028	2.5843
2.3411	3.0	3042	2.5095

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.0+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3