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update model card 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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  model-index:
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  - name: EquityVsDebtIssue
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  results: []
@@ -14,13 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.9255
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- - eval_accuracy: 0.7415
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- - eval_runtime: 37.0257
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- - eval_samples_per_second: 31.654
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- - eval_steps_per_second: 1.999
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- - epoch: 4.0
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- - step: 2344
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  ## Model description
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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: 10
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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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: EquityVsDebtIssue
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  results: []
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7184
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+ - Accuracy: 0.7210
 
 
 
 
 
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  ## Model description
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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: 4
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6182 | 1.0 | 586 | 0.5384 | 0.6997 |
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+ | 0.4979 | 2.0 | 1172 | 0.5136 | 0.7210 |
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+ | 0.3815 | 3.0 | 1758 | 0.6158 | 0.7218 |
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+ | 0.3048 | 4.0 | 2344 | 0.7184 | 0.7210 |
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+
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  ### Framework versions
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