spanish-intent-classifier

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

• Loss: 0.3130
• Accuracy: 0.9418

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
0.3007	1.0	17067	0.2598	0.9332
0.221	2.0	34134	0.2848	0.9408
0.1046	3.0	51201	0.3130	0.9418

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1