results

This model is a fine-tuned version of UBC-NLP/MARBERTv2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1921
• Accuracy: 0.9316
• Precision: 0.9246
• Recall: 0.9370
• F1: 0.9307

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: 64
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2136	1.0	1161	0.1886	0.9320	0.9331	0.9279	0.9305
0.1554	2.0	2322	0.1921	0.9316	0.9246	0.9370	0.9307

Framework versions

• Transformers 4.37.2
• Pytorch 2.0.1+cu118
• Datasets 2.16.1
• Tokenizers 0.15.2