subcate_cs

README.md

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+---
+license: mit
+base_model: microsoft/deberta-v3-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: subcate-cs
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# subcate-cs
+
+This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0437
+- Accuracy: 0.6014
+- F1: 0.6753
+- Precision: 0.7656
+- Recall: 0.6040
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.135         | 1.0   | 779  | 0.0751          | 0.1393   | 0.2430 | 0.9731    | 0.1388 |
+| 0.0671        | 2.0   | 1558 | 0.0570          | 0.3389   | 0.4840 | 0.8453    | 0.3391 |
+| 0.0573        | 3.0   | 2337 | 0.0486          | 0.5045   | 0.6208 | 0.8059    | 0.5048 |
+| 0.0453        | 4.0   | 3116 | 0.0444          | 0.5738   | 0.6610 | 0.7759    | 0.5758 |
+| 0.041         | 5.0   | 3895 | 0.0437          | 0.6014   | 0.6753 | 0.7656    | 0.6040 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

added_tokens.json

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config.json

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+{
+  "_name_or_path": "microsoft/deberta-v3-small",
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Messengerial /Courier Service Request",
+    "1": "Client Viewing Request",
+    "2": "Planned activities",
+    "3": "Checklists & Reports",
+    "4": "Assistance",
+    "5": "Parking / Car pass Requests",
+    "6": "Reservation (Rooms & Event Space)",
+    "7": "Cleaning request",
+    "8": "Gatepass Request",
+    "9": "Info or Document Request",
+    "10": "Office Set-up",
+    "11": "Photo / Video Request",
+    "12": "Supplies Request",
+    "13": "Visitor Access Request",
+    "14": "Access Cards / Room or Office Access Requests",
+    "15": "Checklists and Reports",
+    "16": "Storage Request",
+    "17": "AC Concerns",
+    "18": "New Office Transfer",
+    "19": "Repairs and Maintenance Request",
+    "20": "Phone / Sim Requests",
+    "21": "Move In Request",
+    "22": "Invoices",
+    "23": "Work Permit",
+    "24": "Medical Certificate Validation",
+    "25": "Move Out Request",
+    "26": "Furniture Move",
+    "27": "Security Breach/ Theft",
+    "28": "Safety Concerns",
+    "29": "Other Medical Concerns",
+    "30": "New Hire Kit Request",
+    "31": "Approval Request",
+    "32": "Shuttle Booking",
+    "33": "Costing Request",
+    "34": "Gate Pass Request",
+    "35": "HMO Account Update",
+    "36": "Van Repairs & Maintenance",
+    "37": "Power Outage",
+    "38": "Printing/Scan request",
+    "39": "Orientation / Training Request"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "AC Concerns": 17,
+    "Access Cards / Room or Office Access Requests": 14,
+    "Approval Request": 31,
+    "Assistance": 4,
+    "Checklists & Reports": 3,
+    "Checklists and Reports": 15,
+    "Cleaning request": 7,
+    "Client Viewing Request": 1,
+    "Costing Request": 33,
+    "Furniture Move": 26,
+    "Gate Pass Request": 34,
+    "Gatepass Request": 8,
+    "HMO Account Update": 35,
+    "Info or Document Request": 9,
+    "Invoices": 22,
+    "Medical Certificate Validation": 24,
+    "Messengerial /Courier Service Request": 0,
+    "Move In Request": 21,
+    "Move Out Request": 25,
+    "New Hire Kit Request": 30,
+    "New Office Transfer": 18,
+    "Office Set-up": 10,
+    "Orientation / Training Request": 39,
+    "Other Medical Concerns": 29,
+    "Parking / Car pass Requests": 5,
+    "Phone / Sim Requests": 20,
+    "Photo / Video Request": 11,
+    "Planned activities": 2,
+    "Power Outage": 37,
+    "Printing/Scan request": 38,
+    "Repairs and Maintenance Request": 19,
+    "Reservation (Rooms & Event Space)": 6,
+    "Safety Concerns": 28,
+    "Security Breach/ Theft": 27,
+    "Shuttle Booking": 32,
+    "Storage Request": 16,
+    "Supplies Request": 12,
+    "Van Repairs & Maintenance": 36,
+    "Visitor Access Request": 13,
+    "Work Permit": 23
+  },
+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
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+  "position_biased_input": false,
+  "position_buckets": 256,
+  "problem_type": "multi_label_classification",
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

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special_tokens_map.json

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