PATENT_BERT_2 / README.md
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dheerajpai/patentbert-cased-2b
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metadata
license: mit
base_model: dheerajpai/patentbert
tags:
  - generated_from_trainer
model-index:
  - name: PATENT_BERT_2
    results: []

PATENT_BERT_2

This model is a fine-tuned version of dheerajpai/patentbert on the None dataset.

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-05
  • train_batch_size: 32
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1