JamesLemo / distilbert-base-uncased-distilled-clinc

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: 0
30-day runs: 4
Model's Last Updated: October 01 2025
text-classification

Introduction of distilbert-base-uncased-distilled-clinc

Model Details of distilbert-base-uncased-distilled-clinc

distilbert-base-uncased-distilled-clinc

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

  • Loss: 0.2930
  • Accuracy: 0.9442
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: 48
  • eval_batch_size: 48
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 318 1.8192 0.7226
2.1793 2.0 636 0.9289 0.8658
2.1793 3.0 954 0.5369 0.9148
0.8368 4.0 1272 0.3926 0.9323
0.3884 5.0 1590 0.3367 0.9384
0.3884 6.0 1908 0.3173 0.9423
0.2725 7.0 2226 0.3054 0.9445
0.2365 8.0 2544 0.2980 0.9439
0.2365 9.0 2862 0.2948 0.9452
0.2235 10.0 3180 0.2930 0.9442
Framework versions
  • Transformers 4.56.1
  • Pytorch 2.8.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.22.0

Runs of JamesLemo distilbert-base-uncased-distilled-clinc on huggingface.co

8
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
4
30-day runs

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