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my_review_model
kt220/my_review_model
my_review_model is a text classification model from kt220. 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
- Oct 16, 2023
- Updated
- Nov 23, 2023
- SHA
- 1216eb18
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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. -->
my_review_model
This model is a fine-tuned version of cl-tohoku/bert-base-japanese-whole-word-masking on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4346
- Accuracy: 0.9332
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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2084 | 1.0 | 678 | 0.2145 | 0.9363 |
| 0.1852 | 2.0 | 1356 | 0.2198 | 0.9384 |
| 0.0955 | 3.0 | 2034 | 0.2944 | 0.9362 |
| 0.0469 | 4.0 | 2712 | 0.3892 | 0.9359 |
| 0.0318 | 5.0 | 3390 | 0.4346 | 0.9332 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-sa-4.0
- Created
- Oct 16, 2023
- Updated
- Nov 23, 2023