mobileBERT_trial1 / README.md
Cippppy's picture
End of training
a231af8 verified
metadata
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: mobileBERT_trial1
    results: []

mobileBERT_trial1

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

  • Loss: 0.1923
  • Accuracy: 0.9287

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2143 1.0 1563 0.1923 0.9287

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0+cu118
  • Datasets 2.17.1
  • Tokenizers 0.15.2