bert-base-squad-v1.1-pt-IBAMA_v0.320240905172321

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: 4.7431

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	25	4.6213
No log	2.0	50	4.2380
No log	3.0	75	4.1599
No log	4.0	100	4.2744
No log	5.0	125	4.3355
No log	6.0	150	4.4498
No log	7.0	175	4.5596
No log	8.0	200	4.6311
No log	9.0	225	4.6962
No log	10.0	250	4.7431

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1