platzi-distilroberta-base-mrpc-elyager

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

• Loss: 0.4365
• Accuracy: 0.8652
• F1: 0.9020

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
0.5301	1.09	500	0.5564	0.8186	0.8737
0.3404	2.18	1000	0.4365	0.8652	0.9020

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2