bert-base-spanish-wwm-cased-finetuned-sqac

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the sqac dataset. It achieves the following results on the evaluation set: {'exact_match': 62.017167, 'f1': 79.452767}

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.1335	1.0	1230	0.9346
0.6794	2.0	2460	0.8634
0.3992	3.0	3690	0.9662

Framework versions

• Transformers 4.12.5
• Pytorch 1.10.0+cu111
• Datasets 1.16.1
• Tokenizers 0.10.3