metadata

license: apache-2.0
base_model: distilroberta-base
tags:
  - text-classification
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: platzi-distilroberta-bases-mrpc-nicolas-gomez
    results: []

platzi-distilroberta-bases-mrpc-nicolas-gomez

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

Loss: 0.4302
Accuracy: 0.8480
F1: 0.8916 widget:
- text: ["Yucaipa owned Dominick 's before selling the chain to Safeway in 1998 for $ 2.5 billion.", "Yucaipa bought Dominick's in 1995 for $ 693 million and sold it to Safeway for $ 1.8 billion in 1998."] example_title: Not Equivalent
- text: ["Revenue in the first quarter of the year dropped 15 percent from the same period a year earlier.", "With the scandal hanging over Stewart's company revenue the first quarter of the year dropped 15 percent from the same period a year earlier."]
  example_title: Equivalent

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
0.5097	1.09	500	0.4302	0.8480	0.8916
0.3324	2.18	1000	0.7114	0.8407	0.8889

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0