review_classification_bert_base_jp_v3_ratio1_1_2label_add_dropout-epoch40_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: 1.4594
- Accuracy: 0.8023
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: 40
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 52 | 0.5181 | 0.7316 |
No log | 2.0 | 104 | 0.4858 | 0.7684 |
No log | 3.0 | 156 | 0.4934 | 0.7684 |
No log | 4.0 | 208 | 0.5022 | 0.7910 |
No log | 5.0 | 260 | 0.5365 | 0.7910 |
No log | 6.0 | 312 | 0.6070 | 0.8136 |
No log | 7.0 | 364 | 0.7252 | 0.8107 |
No log | 8.0 | 416 | 0.9174 | 0.7825 |
No log | 9.0 | 468 | 1.0906 | 0.7655 |
0.208 | 10.0 | 520 | 1.2154 | 0.7740 |
0.208 | 11.0 | 572 | 1.0851 | 0.8051 |
0.208 | 12.0 | 624 | 1.3699 | 0.7627 |
0.208 | 13.0 | 676 | 1.1715 | 0.7994 |
0.208 | 14.0 | 728 | 1.2354 | 0.7910 |
0.208 | 15.0 | 780 | 1.2615 | 0.7881 |
0.208 | 16.0 | 832 | 1.2891 | 0.7825 |
0.208 | 17.0 | 884 | 1.4250 | 0.7768 |
0.208 | 18.0 | 936 | 1.5752 | 0.7712 |
0.208 | 19.0 | 988 | 1.3456 | 0.8023 |
0.001 | 20.0 | 1040 | 1.3598 | 0.7994 |
0.001 | 21.0 | 1092 | 1.3378 | 0.8107 |
0.001 | 22.0 | 1144 | 1.3534 | 0.8051 |
0.001 | 23.0 | 1196 | 1.3832 | 0.7881 |
0.001 | 24.0 | 1248 | 1.3838 | 0.7938 |
0.001 | 25.0 | 1300 | 1.4257 | 0.7881 |
0.001 | 26.0 | 1352 | 1.4115 | 0.8023 |
0.001 | 27.0 | 1404 | 1.6230 | 0.7684 |
0.001 | 28.0 | 1456 | 1.4132 | 0.8023 |
0.0009 | 29.0 | 1508 | 1.6508 | 0.7684 |
0.0009 | 30.0 | 1560 | 1.4539 | 0.8023 |
0.0009 | 31.0 | 1612 | 1.4677 | 0.8023 |
0.0009 | 32.0 | 1664 | 1.4155 | 0.8079 |
0.0009 | 33.0 | 1716 | 1.4262 | 0.8079 |
0.0009 | 34.0 | 1768 | 1.4390 | 0.8023 |
0.0009 | 35.0 | 1820 | 1.4405 | 0.8023 |
0.0009 | 36.0 | 1872 | 1.4471 | 0.8051 |
0.0009 | 37.0 | 1924 | 1.4526 | 0.8023 |
0.0009 | 38.0 | 1976 | 1.4568 | 0.8023 |
0.0001 | 39.0 | 2028 | 1.4596 | 0.8023 |
0.0001 | 40.0 | 2080 | 1.4594 | 0.8023 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for kt220/review_classification_bert_base_jp_v3_ratio1_1_2label_add_dropout-epoch40_v4
Base model
tohoku-nlp/bert-base-japanese-v3