README.md

metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
base_model: google/mobilebert-uncased
model-index:
  - name: sst2
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: GLUE SST2
          type: glue
          args: sst2
        metrics:
          - type: accuracy
            value: 0.9036697247706422
            name: Accuracy

sst2

This model is a fine-tuned version of google/mobilebert-uncased on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

• Loss: 1.1730
• Accuracy: 0.9037

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: 1e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10.0

Training results

Framework versions

• Transformers 4.20.0.dev0
• Pytorch 1.11.0
• Datasets 2.2.2
• Tokenizers 0.12.1