JamesLemo / mdeberta-product-ner

huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: 0
30-day runs: -7
Model's Last Updated: March 14 2026
token-classification

Introduction of mdeberta-product-ner

Model Details of mdeberta-product-ner

mdeberta-product-ner

This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0220
  • Precision: 0.9801
  • Recall: 0.9875
  • F1: 0.9838
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: 5e-06
  • train_batch_size: 16
  • eval_batch_size: 16
  • 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
  • lr_scheduler_warmup_steps: 0.2
  • num_epochs: 5
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1
0.1390 1.0 1255 0.0768 0.7528 0.8216 0.7857
0.0510 2.0 2510 0.0283 0.9624 0.9698 0.9661
0.0268 3.0 3765 0.0249 0.9729 0.9815 0.9772
0.0211 4.0 5020 0.0226 0.9749 0.9849 0.9799
0.0166 5.0 6275 0.0220 0.9801 0.9875 0.9838
Framework versions
  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Runs of JamesLemo mdeberta-product-ner on huggingface.co

2
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-7
30-day runs

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mdeberta-product-ner install

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