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bert-base-finetuned-koidiom-epoch5
syp1229/bert-base-finetuned-koidiom-epoch5
bert-base-finetuned-koidiom-epoch5 is a fill-mask model from syp1229. Use it when you need the model to fill a missing word. It is set up for transformers.
probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 16, 2022
- Updated
- May 16, 2022
- SHA
- 4d9f0baa
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
syp1229/bert-base-finetuned-koidiom-epoch5
This model is a fine-tuned version of klue/bert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.8275
- Validation Loss: 1.7743
- Epoch: 4
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.1236 | 1.8454 | 0 |
| 1.9937 | 1.8425 | 1 |
| 1.9016 | 1.7447 | 2 |
| 1.8405 | 1.7540 | 3 |
| 1.8275 | 1.7743 | 4 |
Framework versions
- Transformers 4.19.1
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- May 16, 2022
- Updated
- May 16, 2022