results

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: 0.0681
• Accuracy: 0.8021
• F1: 0.7378

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: 5e-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	F1
0.2985	1.0	116	0.1933	0.6894	0.5902
0.1212	2.0	232	0.0634	0.7160	0.6230
0.0321	3.0	348	0.0438	0.7171	0.6245

Framework versions

• Transformers 4.44.2
• Pytorch 2.6.0+cu126
• Datasets 3.3.2
• Tokenizers 0.19.1