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review_classification_bert_base_jp_v3_ratio1_10_2label_add_dropout-epoch2_v4 – AI Model by kt220 | AlphaNeural AI
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review_classification_bert_base_jp_v3_ratio1_10_2label_add_dropout-epoch2_v4
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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_base_jp_v3_ratio1_10_2label_add_dropout-epoch2_v4
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: 0.2498
Accuracy: 0.9141
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: 1e-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
No log
1.0
286
0.2377
0.9085
0.244
2.0
572
0.2498
0.9141
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
