bert-base-spanish-wwm-cased-finetuned-NLP-IE-4

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7825
• Accuracy: 0.4931

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7005	1.0	9	0.6977	0.5069
0.65	2.0	18	0.7035	0.4861
0.6144	3.0	27	0.7189	0.4722
0.5898	4.0	36	0.7859	0.4861
0.561	5.0	45	0.7825	0.4931

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1