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End of training
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metadata
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: mobilebert_500exs_10timesteps_run1
    results: []

mobilebert_500exs_10timesteps_run1

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: 0.6723
  • Accuracy: 0.58

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: 16

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 32 0.7404 0.57
No log 2.0 64 0.7478 0.57
No log 3.0 96 0.7952 0.57
No log 4.0 128 0.6763 0.56
No log 5.0 160 0.6819 0.58
No log 6.0 192 0.6723 0.58
No log 7.0 224 0.6994 0.57
No log 8.0 256 0.8576 0.43
No log 9.0 288 0.7126 0.46
No log 10.0 320 0.7118 0.48
No log 11.0 352 0.7136 0.57
No log 12.0 384 0.6758 0.59
No log 13.0 416 0.6921 0.55
No log 14.0 448 0.6718 0.56
No log 15.0 480 0.6725 0.57
130076.376 16.0 512 0.6723 0.58

Framework versions

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