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kswada/
bert-base-japanese-finetuned-crf-ner

Name: bert-base-japanese-finetuned-crf-ner
Availability: InStock

safetensors

bert

generated_from_trainer

ner-wikipedia-dataset

tohoku-nlp/bert-base-japanese-v3

finetune

apache-2.0

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bert-base-japanese-finetuned-crf-ner

This model is a fine-tuned version of cl-tohoku/bert-base-japanese-v3 on the ner-wikipedia-dataset dataset. It achieves the following results on the evaluation set:

Loss: 2.2869

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
19.818	1.0	134	1.7200
1.2449	2.0	268	1.4549
0.5612	3.0	402	1.6533
0.3228	4.0	536	1.9766
0.2002	5.0	670	2.2869

Framework versions

Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

kswada/bert-base-japanese-finetuned-crf-ner

bert-base-japanese-finetuned-crf-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kswada/
bert-base-japanese-finetuned-crf-ner