tangminhanh commited on
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cs_subcate

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: tangminhanh/ts_subcate
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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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+ - f1
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+ - precision
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+ - recall
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+ model-index:
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+ - name: cs_subcate
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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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+ # cs_subcate
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+
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+ This model is a fine-tuned version of [tangminhanh/ts_subcate](https://huggingface.co/tangminhanh/ts_subcate) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0517
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+ - Accuracy: 0.6283
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+ - F1: 0.6777
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+ - Precision: 0.7292
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+ - Recall: 0.6330
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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: 32
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+ - eval_batch_size: 64
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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: 10
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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 | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 195 | 0.0649 | 0.2715 | 0.4110 | 0.8554 | 0.2704 |
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+ | No log | 2.0 | 390 | 0.0532 | 0.5113 | 0.6149 | 0.7639 | 0.5145 |
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+ | 0.0785 | 3.0 | 585 | 0.0515 | 0.5688 | 0.6404 | 0.7225 | 0.5750 |
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+ | 0.0785 | 4.0 | 780 | 0.0496 | 0.5979 | 0.6606 | 0.7225 | 0.6085 |
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+ | 0.0785 | 5.0 | 975 | 0.0492 | 0.6147 | 0.6753 | 0.7367 | 0.6233 |
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+ | 0.0386 | 6.0 | 1170 | 0.0499 | 0.6141 | 0.6701 | 0.7151 | 0.6304 |
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+ | 0.0386 | 7.0 | 1365 | 0.0503 | 0.6206 | 0.6754 | 0.7265 | 0.6310 |
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+ | 0.0283 | 8.0 | 1560 | 0.0512 | 0.6199 | 0.6717 | 0.7129 | 0.6349 |
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+ | 0.0283 | 9.0 | 1755 | 0.0515 | 0.6193 | 0.6720 | 0.7228 | 0.6278 |
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+ | 0.0283 | 10.0 | 1950 | 0.0517 | 0.6283 | 0.6777 | 0.7292 | 0.6330 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ "0": "Power Outage",
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+ "2": "AC Concerns",
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+ "3": "Work Permit",
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+ "4": "Move Out Request",
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+ "5": "Move In Request",
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+ "6": "Furniture Move",
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+ "7": "Office Set-up",
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+ "8": "Supplies Request",
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+ "9": "Photo / Video Request",
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+ "16": "Medical Certificate Validation",
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+ "17": "HMO Account Update",
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+ "26": "Costing Request",
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+ "28": "Phone / Sim Requests",
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+ "Work Permit": 3
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