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review_classification_bert_large_jp_v2-epoch4 – AI Model by kt220 | AlphaNeural AI
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review_classification_bert_large_jp_v2-epoch4
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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_large_jp_v2-epoch4
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: 0.3044
Accuracy: 0.9356
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1319
1.0
708
0.2661
0.9408
0.1113
2.0
1416
0.3044
0.9356
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
