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README.md
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license: apache-2.0
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9994
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- Accuracy: 0.573
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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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| No log | 1.0 | 125 | 1.2710 | 0.43 |
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| No log | 2.0 | 250 | 1.0209 | 0.571 |
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| No log | 3.0 | 375 | 0.9994 | 0.573 |
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### Framework versions
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- Transformers 4.30.0
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license: apache-2.0
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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 an unknown 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 4.30.0
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