global_ep5_bertsqv1pptbased_ctxpar_punct_sqv2

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: 0.5432

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: 30
• eval_batch_size: 180
• seed: 42
• gradient_accumulation_steps: 3
• total_train_batch_size: 90
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	96	0.6827
No log	2.0	192	0.4766
No log	3.0	288	0.4886
No log	4.0	384	0.5174
No log	5.0	480	0.5432

Framework versions

• Transformers 4.24.0
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2