nspb_classifier

This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8359
• F1: 0.7665

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.0893	1.0	1013	1.0376	0.6906
0.7466	2.0	2026	0.8359	0.7665

Framework versions

• Transformers 4.27.1
• Pytorch 2.1.0.dev20230414+cu117
• Datasets 2.9.0
• Tokenizers 0.13.3