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End of training

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  1. README.md +6 -6
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@@ -5,18 +5,18 @@ base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: Mink_School_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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- # Mink_School_Model
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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: 0.7996
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  ## Model description
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@@ -47,9 +47,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 9 | 0.9079 |
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- | No log | 2.0 | 18 | 0.8417 |
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- | No log | 3.0 | 27 | 0.7996 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: Student_Predict_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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+ # Student_Predict_Model
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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: 1.2749
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.2837 | 1.0 | 52 | 1.2870 |
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+ | 1.2697 | 2.0 | 104 | 1.2758 |
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+ | 1.2553 | 3.0 | 156 | 1.2749 |
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  ### Framework versions