hr_cate

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: hr_cate
+  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. -->
+
+# hr_cate
+
+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: 0.0404
+- Accuracy: 0.7833
+- F1: 0.8459
+- Precision: 0.9146
+- Recall: 0.7869
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 64
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 227  | 0.0946          | 0.4140   | 0.5702 | 0.9179    | 0.4136 |
+| No log        | 2.0   | 454  | 0.0573          | 0.6871   | 0.7845 | 0.9153    | 0.6864 |
+| 0.1387        | 3.0   | 681  | 0.0468          | 0.7629   | 0.8291 | 0.9091    | 0.7620 |
+| 0.1387        | 4.0   | 908  | 0.0420          | 0.7722   | 0.8372 | 0.9138    | 0.7725 |
+| 0.0456        | 5.0   | 1135 | 0.0404          | 0.7833   | 0.8459 | 0.9146    | 0.7869 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+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": "C&B - Payroll",
+    "1": "Talent as a Service",
+    "2": "HRDT - HRBP Requests",
+    "3": "HRDT - HRIS",
+    "4": "HRDT - Data Updating",
+    "5": "HRDT - Requested Report",
+    "6": "HRDT - Others",
+    "7": "P&C Allowance",
+    "8": "P&C Employee Movement/EAA Request",
+    "9": "P&C HR Documents",
+    "10": "P&C HRIS",
+    "11": "P&C Incident Report/Employee Discipline",
+    "12": "P&C Inquiries",
+    "13": "P&C Internship",
+    "14": "P&C Leave Benefits",
+    "15": "P&C Mental Health / MindNation",
+    "16": "P&C Payroll",
+    "17": "P&C Performance/Coaching",
+    "18": "P&C Reports",
+    "19": "P&C Resignation/Offboarding",
+    "20": "P&C SSS | Pag-Ibig | Philhealth | BIR",
+    "21": "P&C Verification",
+    "22": "P&C Others",
+    "23": "People Experience"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "C&B - Payroll": 0,
+    "HRDT - Data Updating": 4,
+    "HRDT - HRBP Requests": 2,
+    "HRDT - HRIS": 3,
+    "HRDT - Others": 6,
+    "HRDT - Requested Report": 5,
+    "P&C Allowance": 7,
+    "P&C Employee Movement/EAA Request": 8,
+    "P&C HR Documents": 9,
+    "P&C HRIS": 10,
+    "P&C Incident Report/Employee Discipline": 11,
+    "P&C Inquiries": 12,
+    "P&C Internship": 13,
+    "P&C Leave Benefits": 14,
+    "P&C Mental Health / MindNation": 15,
+    "P&C Others": 22,
+    "P&C Payroll": 16,
+    "P&C Performance/Coaching": 17,
+    "P&C Reports": 18,
+    "P&C Resignation/Offboarding": 19,
+    "P&C SSS | Pag-Ibig | Philhealth | BIR": 20,
+    "P&C Verification": 21,
+    "People Experience": 23,
+    "Talent as a Service": 1
+  },
+  "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"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "problem_type": "multi_label_classification",
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

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tokenizer_config.json

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