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bert_cn_finetuning_test
haotian2022/bert_cn_finetuning_test
bert_cn_finetuning_test is a text classification model from haotian2022. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Dec 4, 2022
- Updated
- Dec 4, 2022
- SHA
- 9829c90a
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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. -->
bert_cn_finetuning_test
This model is a fine-tuned version of [.\bert-base-chinese](https://huggingface.co/.\bert-base-chinese) on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3328
- Accuracy: 0.8850
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.25.0
- Pytorch 1.12.0+cpu
- Datasets 2.7.1
- Tokenizers 0.11.6
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Dec 4, 2022
- Updated
- Dec 4, 2022