gpt2-finetuned-klue-ner
This model is a fine-tuned version of gpt2 on the klue dataset. It achieves the following results on the evaluation set:
- Loss: 0.7192
- F1: 0.4018
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.9481 | 1.0 | 21008 | 0.8818 | 0.2387 |
0.7068 | 2.0 | 42016 | 0.7485 | 0.3700 |
0.5808 | 3.0 | 63024 | 0.7192 | 0.4018 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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