Sist-Diego-distilroberta-base-mrpc-glue-omar-espejel

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

• Loss: 0.5806
• Accuracy: 0.8554
• F1: 0.8941

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
0.5454	1.0893	500	0.4457	0.8431	0.8900
0.3577	2.1786	1000	0.5806	0.8554	0.8941

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 3.0.2
• Tokenizers 0.19.1