Ejernlp

This model is a fine-tuned version of distilroberta-base on the glue dataset. It achieves the following results on the evaluation set:

• Loss: 0.5381
• Accuracy: 0.8480
• F1: 0.8908

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5096	1.09	500	0.5683	0.8235	0.8737
0.3446	2.18	1000	0.5381	0.8480	0.8908

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3