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bert_cn_finetuning
smlhd/bert_cn_finetuning
bert_cn_finetuning is a text classification model from smlhd. 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
- Sep 26, 2024
- Updated
- Sep 27, 2024
- SHA
- 13fafcc9
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Base models
Datasets
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
This model is a fine-tuned version of bert-base-chinese on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5117
- Accuracy: 0.8280
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 4.45.0.dev0
- Pytorch 2.2.2
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Sep 26, 2024
- Updated
- Sep 27, 2024