review_classification_bert_base_jp_v3_ratio1_1_2label_add_dropout-epoch6_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: 0.5077
• Accuracy: 0.7655

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	52	0.5087	0.7429
No log	2.0	104	0.4974	0.7514
No log	3.0	156	0.4870	0.7599
No log	4.0	208	0.4924	0.7655
No log	5.0	260	0.5034	0.7740
No log	6.0	312	0.5077	0.7655

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0