distilbert-base-multilingual-cased-bg-wikipedia

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

• Loss: 1.2419

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: 42
• eval_batch_size: 42
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.4974	1.0	1191	1.2832
1.4301	2.0	2382	1.2626
1.3846	3.0	3573	1.2203
1.3635	4.0	4764	1.2335

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3