bert-base-multilingual-cased-A-B-intersection

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: 1.1049

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: 16
• eval_batch_size: 16
• 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
1.5399	1.0	2372	1.3287
1.1249	2.0	4744	1.1154
0.8307	3.0	7116	1.1049

Framework versions

• Transformers 4.26.0
• Pytorch 2.2.1+cu121
• Datasets 2.9.0
• Tokenizers 0.13.3