review_classification_bert_base_jp_v3_ratio1_1_add_dropout-epoch30_v2
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:
- eval_loss: 1.9473
- eval_accuracy: 0.6921
- eval_runtime: 17.9076
- eval_samples_per_second: 35.181
- eval_steps_per_second: 2.234
- epoch: 25.0
- step: 1000
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: 30
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for kt220/review_classification_bert_base_jp_v3_ratio1_1_add_dropout-epoch30_v2
Base model
tohoku-nlp/bert-base-japanese-v3