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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: simpliTax/bert-automap-pbt-fine-tuned
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: category-v6-strict
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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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+ # category-v6-strict
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+
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+ This model is a fine-tuned version of [simpliTax/bert-automap-pbt-fine-tuned](https://huggingface.co/simpliTax/bert-automap-pbt-fine-tuned) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9421
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+ - Accuracy: 0.5960
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+ - Macro F1: 0.1895
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+ - Weighted F1: 0.5291
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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: 13
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+ - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Accuracy | Macro F1 | Weighted F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|
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+ | 3.8728 | 1.0 | 727 | 2.5961 | 0.4930 | 0.1212 | 0.4187 |
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+ | 2.6532 | 2.0 | 1454 | 2.0727 | 0.5728 | 0.1676 | 0.5043 |
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+ | 1.8412 | 3.0 | 2181 | 1.9421 | 0.5960 | 0.1895 | 0.5291 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.0.0.dev0
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+ - Pytorch 2.9.0+cu126
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+ - Datasets 4.3.0
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+ - Tokenizers 0.22.1
final/config.json ADDED
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+ {
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "dtype": "float32",
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "Accommodation and subsistence",
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+ "2": "Accrued operating expenses",
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+ "5": "Accumulated amortisation - software",
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+ "129": "Lease liabilities - property",
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+ "247": "Withholding tax receivable",
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+ },
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+ "Financial assets at amortised cost": 89,
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+ "Foreign exchange gain or loss - hedging instruments": 92,
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+ "Foreign exchange gain or loss - operating": 93,
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+ "Freight and delivery costs": 94,
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+ "Gain on disposal of subsidiary or business": 97,
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+ "Impairment allowance - investments": 104,
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+ "Impairment allowance - other assets": 105,
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+ "Intercompany loan payables": 112,
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+ "Intercompany loan receivables": 113,
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+ "Intercompany other payables": 114,
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+ "Intercompany other receivables": 115,
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+ "Intercompany service recovery income": 116,
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+ "Intercompany trade receivables": 118,
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+ "Inventory obsolescence allowance": 119,
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+ "Inventory write-down": 120,
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+ "Investments in associates": 121,
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+ "Investments in joint ventures": 122,
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+ "Investments in subsidiaries": 123,
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+ "Irrecoverable VAT and indirect taxes": 124,
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+ "Lease interest expense": 127,
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+ "Lease liabilities - equipment": 128,
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+ "Lease liabilities - property": 129,
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+ "Lease liabilities - vehicles": 130,
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+ "Leasehold improvements": 131,
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+ "Litigation and regulatory expense": 136,
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+ "Loan interest income": 137,
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+ "Local transport and mileage": 138,
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+ "Loyalty programme liability": 139,
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+ "Management consulting fees": 140,
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+ "Marketing and promotion expense": 141,
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+ "Medical and other employee benefits": 142,
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+ "Merchandise inventory": 143,
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+ "Merchant and payment processing costs": 144,
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+ "Monetary variation and hyperinflation adjustment": 145,
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+ "Motor vehicles": 146,
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+ "Non-deductible accelerated depreciation on disposal": 147,
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+ "Non-deductible acquisition and transaction costs": 148,
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+ "Non-deductible amortisation - intangible assets": 149,
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