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End of training

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README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.9310694610376122
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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
@@ -31,8 +31,8 @@ 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 banking77 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3083
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- - F1: 0.9311
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  ## Model description
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@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 1.158 | 1.0 | 626 | 0.8309 | 0.8406 |
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- | 0.3935 | 2.0 | 1252 | 0.3849 | 0.9193 |
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- | 0.1925 | 3.0 | 1878 | 0.3083 | 0.9311 |
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.9282655802643632
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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 banking77 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3211
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+ - F1: 0.9283
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.1685 | 1.0 | 626 | 0.8209 | 0.8356 |
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+ | 0.4109 | 2.0 | 1252 | 0.3853 | 0.9128 |
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+ | 0.2022 | 3.0 | 1878 | 0.3211 | 0.9283 |
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  ### Framework versions
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