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legal_question_classification – AI Model by SHONOSUKE | AlphaNeural AI
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SHONOSUKE
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legal_question_classification
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transformers
pytorch
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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legal_question_classification
This model is a fine-tuned version of
cl-tohoku/bert-base-japanese-v3
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4890
Accuracy: 0.7948
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5286
1.0
582
0.4952
0.7948
0.4962
2.0
1164
0.4909
0.7948
0.4847
3.0
1746
0.4890
0.7948
Framework versions
Transformers 4.17.0
Pytorch 2.1.0+cu121
Tokenizers 0.15.0
