multilingual-Distilbert-intent-classification

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

• Loss: 0.1198
• Accuracy: 0.9797

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
0.1211	1.0	77839	0.1477	0.9701
0.0732	2.0	155678	0.1170	0.9776
0.0354	3.0	233517	0.1198	0.9797

Framework versions

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