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review_classification_bert_jp_v3 – AI Model by kt220 | AlphaNeural AI
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kt220
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review_classification_bert_jp_v3
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
tohoku-nlp/bert-base-japanese-v3
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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review_classification_bert_jp_v3
This model is a fine-tuned version of
cl-tohoku/bert-base-japanese-v3
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3286
Accuracy: 0.9381
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1914
1.0
845
0.1729
0.9467
0.1655
2.0
1690
0.1674
0.9462
0.1266
3.0
2535
0.2235
0.9448
0.0777
4.0
3380
0.2902
0.9390
0.0407
5.0
4225
0.3286
0.9381
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
