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update model card README.md
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README.md
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base_model: bert-base-cased
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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_trainer
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results: []
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# test_trainer
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9885
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- Accuracy: 0.591
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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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 | 1.0 | 125 | 1.4557 | 0.358 |
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| No log | 2.0 | 250 | 1.0331 | 0.555 |
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| No log | 3.0 | 375 | 0.9885 | 0.591 |
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### Framework versions
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- Transformers 4.31.0
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base_model: bert-base-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: test_trainer
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results: []
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# test_trainer
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Framework versions
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- Transformers 4.31.0
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