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update model card README.md

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@@ -19,10 +19,10 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9886363636363636
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  - name: F1
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  type: f1
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- value: 0.9886363636363636
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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
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ahmedrachid/FinancialBERT](https://huggingface.co/ahmedrachid/FinancialBERT) on the financial_phrasebank dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0493
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- - Accuracy: 0.9886
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- - F1: 0.9886
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  ## Model description
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@@ -54,12 +54,12 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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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: 1
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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: 0.9924242424242424
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  - name: F1
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  type: f1
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+ value: 0.9924242424242424
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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 [ahmedrachid/FinancialBERT](https://huggingface.co/ahmedrachid/FinancialBERT) on the financial_phrasebank dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0395
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+ - Accuracy: 0.9924
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+ - F1: 0.9924
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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: 5
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  ### Training results
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