awesomeeeeee_model / README.md
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metadata
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: awesomeeeeee_model
    results: []

awesomeeeeee_model

This model is a fine-tuned version of google/mobilebert-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0518
  • Accuracy: 0.9871

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: 3e-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: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0575 1.0 26146 0.0743 0.9852
0.0388 2.0 52292 0.0518 0.9871

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.0.1
  • Datasets 2.14.6
  • Tokenizers 0.14.1