abdulmanaam / distilbert_classification_task1_post

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: July 18 2024
text-classification

Introduction of distilbert_classification_task1_post

Model Details of distilbert_classification_task1_post

distilbert_classification_task1_post

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

  • Loss: 0.8262
  • Accuracy: 0.7075
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: 2
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 200 0.7801 0.695
No log 2.0 400 0.8262 0.7075
Framework versions
  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of abdulmanaam distilbert_classification_task1_post on huggingface.co

5
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24-hour runs
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3-day runs
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7-day runs
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30-day runs

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