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gigazine-title-classification – AI Model by tuna2134 | AlphaNeural AI
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tuna2134
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gigazine-title-classification
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tensorboard
safetensors
bert
generated_from_trainer
text-classification
tohoku-nlp/bert-base-japanese
finetune
cc-by-sa-4.0
us
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gigazine-title-classification
This model is a fine-tuned version of
tohoku-nlp/bert-base-japanese
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4894
Accuracy: 0.617
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5588
0.768
3
1.5196
0.602
0.3835
1.792
7
1.4909
0.61
0.2563
2.304
9
1.4894
0.617
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
