README.md

metadata

license: apache-2.0
tags:
  - text-classification
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
  - f1
base_model: distilroberta-base
model-index:
  - name: platzi-distilroberta-base-mrpc-glue-luigitercero
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: datasetX
          type: glue
          config: mrpc
          split: validation
          args: mrpc
        metrics:
          - type: accuracy
            value: 0.8431372549019608
            name: Accuracy
          - type: f1
            value: 0.8836363636363636
            name: F1

platzi-distilroberta-base-mrpc-glue-luigitercero

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

• Loss: 0.6591
• Accuracy: 0.8431
• F1: 0.8836

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
0.1853	1.09	500	0.6591	0.8431	0.8836
0.1812	2.18	1000	0.6591	0.8431	0.8836

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2