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bert-base-japanese-ghost_rate-weighted-0605
cwei13/bert-base-japanese-ghost_rate-weighted-0605
bert-base-japanese-ghost_rate-weighted-0605 is a text classification model from cwei13. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024
- SHA
- 1e78b8f4
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bert-base-japanese-ghost_rate-weighted-0605
This model is a fine-tuned version of cl-tohoku/bert-base-japanese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4588
- Accuracy: 0.4300
- F1: 0.3863
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 0.9980 | 253 | 1.5043 | 0.2988 | 0.2334 |
| 1.5403 | 2.0 | 507 | 1.4588 | 0.4300 | 0.3863 |
| 1.5403 | 2.9980 | 760 | 1.4944 | 0.3984 | 0.3676 |
| 1.1252 | 4.0 | 1014 | 1.5833 | 0.4103 | 0.3885 |
| 1.1252 | 4.9980 | 1267 | 1.6723 | 0.4024 | 0.3889 |
| 0.7911 | 6.0 | 1521 | 1.8026 | 0.4083 | 0.3978 |
| 0.7911 | 6.9980 | 1774 | 1.9235 | 0.3984 | 0.3910 |
| 0.5514 | 8.0 | 2028 | 2.0213 | 0.3955 | 0.4014 |
| 0.5514 | 8.9980 | 2281 | 2.0726 | 0.4034 | 0.4096 |
| 0.4123 | 9.9803 | 2530 | 2.1018 | 0.4034 | 0.4074 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-sa-4.0
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024