du33169/roberta-large-finetuned-GLUE-MRPC

MRPC

This model is a fine-tuned version of FacebookAI/roberta-large on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

• Loss: 0.4089
• Accuracy: 0.8971
• F1: 0.9258
• Combined Score: 0.9114

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: 64
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 6.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
No log	1.0	58	0.4189	0.8186	0.8783	0.8485
No log	2.0	116	0.3024	0.8824	0.9140	0.8982
No log	3.0	174	0.2900	0.8848	0.9174	0.9011
No log	4.0	232	0.4089	0.8652	0.9076	0.8864
No log	5.0	290	0.4089	0.8971	0.9258	0.9114
No log	6.0	348	0.4556	0.8922	0.9233	0.9078

Framework versions

• Transformers 4.43.3
• Pytorch 1.11.0+cu113
• Datasets 2.20.0
• Tokenizers 0.19.1