roberta-base-bne-detector-de-stress-detector-de-stress

This model is a fine-tuned version of ValenHumano/roberta-base-bne-detector-de-stress on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4838
• Accuracy: 0.7571

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: 16
• eval_batch_size: 16
• 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
0.4735	1.0	169	0.3888	0.8143
0.2484	2.0	338	0.4838	0.7571

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3