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update model card README.md

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+ ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - financial_phrasebank
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+ metrics:
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: financial-sentiment-analysis
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: financial_phrasebank
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+ type: financial_phrasebank
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+ args: sentences_allagree
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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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+
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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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+
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+ # financial-sentiment-analysis
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.19.1
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+ - Pytorch 1.11.0+cu113
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+ - Datasets 2.2.1
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+ - Tokenizers 0.12.1