bert-base-squad-v1.1-pt-IBAMA_v0.220240828213619

This model is a fine-tuned version of pierreguillou/bert-base-cased-squad-v1.1-portuguese on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.7653

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	40	4.4267
No log	2.0	80	4.2106
No log	3.0	120	4.1177
No log	4.0	160	4.1064
No log	5.0	200	4.1761
No log	6.0	240	4.4529
No log	7.0	280	4.5117
No log	8.0	320	4.5801
No log	9.0	360	4.7209
No log	10.0	400	4.7653

Framework versions

• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1