bert-base-multilingual-cased-v1

This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0134
• Accuracy: 0.7032
• F1: 0.6024

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
0.1159	1.0	162	0.0926	0.7171	0.6257
0.0205	2.0	324	0.0548	0.7240	0.6314
0.0187	3.0	486	0.0423	0.7255	0.6341

Framework versions

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