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nikinetrahutama
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afx-grouping-model

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Inference Endpoints
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afx-grouping-model / README.md
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metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: afx-grouping-model
    results: []

afx-grouping-model

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

  • Loss: 0.2028
  • Accuracy: 0.9535

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: 15

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 6 0.9196 0.7674
No log 2.0 12 0.7855 0.7674
No log 3.0 18 0.6770 0.8023
No log 4.0 24 0.5790 0.8023
No log 5.0 30 0.5071 0.8140
No log 6.0 36 0.4437 0.8140
No log 7.0 42 0.3850 0.8605
No log 8.0 48 0.3380 0.8721
No log 9.0 54 0.3005 0.8721
No log 10.0 60 0.2700 0.8837
No log 11.0 66 0.2449 0.9186
No log 12.0 72 0.2265 0.9419
No log 13.0 78 0.2136 0.9535
No log 14.0 84 0.2057 0.9535
No log 15.0 90 0.2028 0.9535

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1
  • Datasets 2.14.5
  • Tokenizers 0.13.3