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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: microsoft/deberta-v3-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: deberta-v3-base_finetuned_bluegennx_run2.6
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+ results: []
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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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+ # deberta-v3-base_finetuned_bluegennx_run2.6
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+
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+ This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0968
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+ - Overall Precision: 0.6921
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+ - Overall Recall: 0.7279
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+ - Overall F1: 0.7096
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+ - Overall Accuracy: 0.9662
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+ - Aadhar Card F1: 0.7499
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+ - Age F1: 0.5816
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+ - City F1: 0.7306
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+ - Country F1: 0.6782
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+ - Creditcardcvv F1: 0.7220
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+ - Creditcardnumber F1: 0.7364
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+ - Currency F1: 0.6681
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+ - Currencyname F1: 0.0887
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+ - Date F1: 0.6695
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+ - Dateofbirth F1: 0.6437
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+ - Email F1: 0.6486
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+ - Expiry Date F1: 0.5623
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+ - Organization F1: 0.7393
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+ - Pan Card F1: 0.7191
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+ - Person F1: 0.8088
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+ - Phonenumber F1: 0.7218
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+ - Secondary Address F1: 0.6801
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+ - State F1: 0.7525
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+ - Street F1: 0.8529
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+ - Time F1: 0.7545
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+ - Url F1: 0.5520
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+ - Us Ssn F1: 0.9069
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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: 5e-05
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+ - train_batch_size: 36
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+ - eval_batch_size: 8
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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: cosine_with_restarts
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+ - lr_scheduler_warmup_ratio: 0.2
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+ - num_epochs: 3
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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 4.38.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ "eval_CREDITCARDCVV_f1": 0.7219837863614689,
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