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chemical-ner-bert-large-uncased

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metadata
license: apache-2.0
base_model: google-bert/bert-large-uncased
tags:
  - generated_from_trainer
model-index:
  - name: my_pii_model_gpt_2_v2
    results: []

chemical_ner_bert_large_uncased

This model is a fine-tuned version of google-bert/bert-large-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1319

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.1709 1.0 716 0.1271
0.1287 2.0 1432 0.1400
0.0917 3.0 2148 0.1319

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2