bert-base-cased-pos-conll2003
This model is a fine-tuned version of bert-base-cased on the conll2003 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2431
- Accuracy: 0.9462
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2010 | 1.0 | 878 | 0.2223 | 0.9474 |
Framework versions
- Transformers 5.22.1
- Pytorch 2.14.1+cu130
- Datasets 4.8.5
- Tokenizers 0.23.3
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Model tree for yiyingj/bert-base-cased-pos-conll2003
Base model
google-bert/bert-base-cased