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cdc2217
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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert-base-cased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: distilBert_NER_finer
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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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+ # distilBert_NER_finer
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+
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+ This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0198
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+ - Precision: 0.9445
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+ - Recall: 0.9640
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+ - F1: 0.9541
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+ - Accuracy: 0.9954
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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: 8
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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: linear
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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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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.0034 | 1.0 | 1620 | 0.0261 | 0.9167 | 0.9668 | 0.9411 | 0.9941 |
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+ | 0.0031 | 2.0 | 3240 | 0.0182 | 0.9471 | 0.9651 | 0.9561 | 0.9956 |
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+ | 0.0012 | 3.0 | 4860 | 0.0198 | 0.9445 | 0.9640 | 0.9541 | 0.9954 |
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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 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
config.json ADDED
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+ {
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+ "_name_or_path": "distilbert-base-cased",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForTokenClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "O",
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+ "4": "B-AllocatedShareBasedCompensationExpense",
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+ "5": "B-AmortizationOfFinancingCosts",
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+ "6": "B-AmortizationOfIntangibleAssets",
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+ "7": "I-AmortizationOfIntangibleAssets",
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+ "252": "I-DerivativeFixedInterestRate",
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+ "261": "I-RepaymentsOfDebt",
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+ "262": "I-ConcentrationRiskPercentage1",
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+ "263": "I-DebtInstrumentRedemptionPricePercentage",
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+ "264": "I-CumulativeEffectOfNewAccountingPrincipleInPeriodOfAdoption",
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+ "265": "I-SharePrice",
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+ "266": "I-UnrecognizedTaxBenefitsThatWouldImpactEffectiveTaxRate",
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+ "267": "I-ShareBasedCompensationArrangementByShareBasedPaymentAwardOptionsExercisesInPeriodTotalIntrinsicValue",
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+ "268": "I-EffectiveIncomeTaxRateContinuingOperations",
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+ "269": "I-RevenueFromContractWithCustomerExcludingAssessedTax",
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