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Capstone_TinyBert

Text Classification
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PyTorch
bert
Generated from Trainer
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Capstone_TinyBert / README.md
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metadata
base_model: huawei-noah/TinyBERT_General_4L_312D
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: Capstone_TinyBert
    results: []

Capstone_TinyBert

This model is a fine-tuned version of huawei-noah/TinyBERT_General_4L_312D on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3172
  • Accuracy: 0.8772

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.4628 1.0 313 0.3617 0.852
0.3369 2.0 626 0.3218 0.8644
0.2949 3.0 939 0.3143 0.8744
0.2699 4.0 1252 0.3192 0.8718
0.2481 5.0 1565 0.3172 0.8772

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3