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distilbert-NER-Math-finetuned

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metadata
library_name: transformers
license: apache-2.0
base_model: dslim/distilbert-NER
tags:
  - generated_from_trainer
model-index:
  - name: distilbert-NER-Math-finetuned
    results: []

distilbert-NER-Math-finetuned

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

  • Loss: 0.3726
  • F1 Score: 0.9151

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: 3e-05
  • train_batch_size: 5
  • eval_batch_size: 5
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss F1 Score
0.0429 1.0 1067 0.4390 0.8960
0.103 2.0 2134 0.3767 0.9042
0.0238 3.0 3201 0.3726 0.9151

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0