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
- Downloads last month
- 5
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for smlhd/bert_cn_finetuning
Base model
google-bert/bert-base-chinese