platzi-distilroberta-base-mrpc-glue-juansebas7ian

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

• Loss: 0.7613
• Accuracy: 0.7892
• F1: 0.8377

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
0.425	1.09	500	0.7613	0.7892	0.8377
0.2786	2.18	1000	0.7710	0.8284	0.8713

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cpu
• Datasets 2.17.1
• Tokenizers 0.15.2