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update model card README.md

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@@ -23,10 +23,10 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.6466942148760331
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  - name: F1
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  type: f1
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- value: 0.5819132094844429
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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
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the financial_phrasebank dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9340
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- - Accuracy: 0.6467
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- - F1: 0.5819
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  ## Model description
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@@ -63,7 +63,7 @@ The following hyperparameters were used during training:
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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: 2
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  ### Training results
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.753099173553719
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  - name: F1
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  type: f1
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+ value: 0.6955188246097337
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the financial_phrasebank dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4149
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+ - Accuracy: 0.7531
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+ - F1: 0.6955
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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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  ### Training results
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