SloBertAA_Top5_WithoutOOC_NEW

This model is a fine-tuned version of EMBEDDIA/sloberta on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3464
• Accuracy: 0.9419

Other related models

Base model	Includes the OOC class?	5 classes	10 classes	20 classes	50 classes
SloBERTa	Yes	x	x	x	x
SloBERTa	No	x	x	x	x
BERT Multilingual	Yes	x	x	x	x
BERT Multilingual	No	x	x	x	x

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: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2787	1.0	8757	0.2899	0.9120
0.2197	2.0	17514	0.2314	0.9294
0.1483	3.0	26271	0.3004	0.9349
0.0997	4.0	35028	0.3182	0.9405
0.0699	5.0	43785	0.3464	0.9419

Framework versions

• Transformers 4.26.1
• Pytorch 1.8.0
• Datasets 2.10.1
• Tokenizers 0.13.2