hibikigf88
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bert-finetuned-ner

Token Classification

Generated from Trainer

Model card Files Files and versions

bert-finetuned-ner

This model is a fine-tuned version of bert-base-cased on an tner/bc5cdr 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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 1

Framework versions

Transformers 4.52.3
Pytorch 2.7.0
Datasets 3.6.0
Tokenizers 0.21.1

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Safetensors

Model size

0.1B params

Tensor type

F32

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Model tree for hibikigf88/bert-finetuned-ner

Base model

google-bert/bert-base-cased

Finetuned

(2937)

this model

Dataset used to train hibikigf88/bert-finetuned-ner