1kkiren/bert-base-cased-mms-ru-tuned

bert-base-cased-mms-ru

This model is a fine-tuned version of bert-base-cased on the Brand24/mms dataset. It achieves the following results on the evaluation set:

• Loss: 0.7867
• Accuracy: 0.6655

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
0.8959	1.0	12617	0.8540	0.6411
0.8509	2.0	25234	0.8007	0.656
0.7848	3.0	37851	0.7867	0.6655

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu121
• Datasets 2.14.6
• Tokenizers 0.14.1