spanish-intent-Multibert-cased

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

• Loss: 0.2052
• Accuracy: 0.9644

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: 8
• eval_batch_size: 8
• 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	Accuracy
0.2213	1.0	19342	0.2044	0.9544
0.1516	2.0	38684	0.1964	0.9632
0.0829	3.0	58026	0.2052	0.9644

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.1+cu118
• Datasets 2.16.1
• Tokenizers 0.15.0