End of training
Browse files- README.md +66 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: kykim/bert-kor-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: test_model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# test_model
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This model is a fine-tuned version of [kykim/bert-kor-base](https://huggingface.co/kykim/bert-kor-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2414
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- Accuracy: 0.9149
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.23 | 100 | 0.3599 | 0.8855 |
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| No log | 0.46 | 200 | 0.3003 | 0.8995 |
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| No log | 0.7 | 300 | 0.2731 | 0.9092 |
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| No log | 0.93 | 400 | 0.2682 | 0.9103 |
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| 0.3663 | 1.16 | 500 | 0.2616 | 0.9105 |
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| 0.3663 | 1.39 | 600 | 0.2522 | 0.9144 |
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| 0.3663 | 1.62 | 700 | 0.2462 | 0.9149 |
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| 0.3663 | 1.86 | 800 | 0.2414 | 0.9149 |
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### Framework versions
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- Transformers 4.32.0
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- Pytorch 2.1.2
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- Datasets 2.16.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 473279726
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version https://git-lfs.github.com/spec/v1
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size 473279726
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