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chinese-lert-large-ling-cls
CeroShrijver/chinese-lert-large-ling-cls
chinese-lert-large-ling-cls is a text classification model from CeroShrijver. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jul 8, 2023
- Updated
- Jul 8, 2023
- SHA
- 7d88ca5d
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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. -->
chinese-lert-large-ling-cls
This model is a fine-tuned version of hfl/chinese-lert-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4531
- Accuracy: 0.7822
- Test Accuracy: 0.8102
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.5082 | 1.0 | 1008 | 0.5476 | 0.7601 |
| 0.3669 | 2.0 | 2017 | 0.5202 | 0.7978 |
| 0.2006 | 3.0 | 3025 | 0.8294 | 0.7748 |
| 0.0954 | 4.0 | 4034 | 1.2630 | 0.7931 |
| 0.0447 | 5.0 | 5040 | 1.4531 | 0.7822 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.11.6
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 8, 2023
- Updated
- Jul 8, 2023