doyoungkim
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add model
Browse files- README.md +12 -12
- pytorch_model.bin +2 -2
- runs/Aug04_12-31-15_c221d399a0d3/1628080320.3767972/events.out.tfevents.1628080320.c221d399a0d3.61.1 +3 -0
- runs/Aug04_12-31-15_c221d399a0d3/events.out.tfevents.1628080320.c221d399a0d3.61.0 +3 -0
- runs/Aug04_12-31-15_c221d399a0d3/events.out.tfevents.1628083289.c221d399a0d3.61.2 +3 -0
- training_args.bin +1 -1
README.md
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metric:
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name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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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:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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### Framework versions
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- Transformers 4.9.1
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- Pytorch 1.
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- Datasets 1.11.0
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- Tokenizers 0.10.
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metric:
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name: Accuracy
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type: accuracy
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value: 0.9197247706422018
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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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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3926
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- Accuracy: 0.9197
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## Model description
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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: 16
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- eval_batch_size: 16
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.3972 | 1.0 | 4210 | 0.4020 | 0.9071 |
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| 0.3718 | 2.0 | 8420 | 0.4021 | 0.9083 |
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| 0.3548 | 3.0 | 12630 | 0.3970 | 0.9128 |
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| 0.3584 | 4.0 | 16840 | 0.3926 | 0.9197 |
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| 0.3509 | 5.0 | 21050 | 0.3966 | 0.9163 |
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### Framework versions
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- Transformers 4.9.1
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- Pytorch 1.9.0+cu102
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- Datasets 1.11.0
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- Tokenizers 0.10.3
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pytorch_model.bin
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training_args.bin
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