Commit From AutoTrain

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,56 @@
+---
+tags:
+- autotrain
+- text-classification
+language:
+- hi
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- neuralspace/autotrain-data-citizen_nlu_hindi
+co2_eq_emissions:
+  emissions: 0.06283545088764929
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 1370952776
+- CO2 Emissions (in grams): 0.0628
+
+## Validation Metrics
+
+- Loss: 0.101
+- Accuracy: 0.974
+- Macro F1: 0.974
+- Micro F1: 0.974
+- Weighted F1: 0.974
+- Macro Precision: 0.975
+- Micro Precision: 0.974
+- Weighted Precision: 0.975
+- Macro Recall: 0.973
+- Micro Recall: 0.974
+- Weighted Recall: 0.974
+
+
+## Usage
+
+You can use cURL to access this model:
+
+```
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/neuralspace/autotrain-citizen_nlu_hindi-1370952776
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("neuralspace/autotrain-citizen_nlu_hindi-1370952776", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("neuralspace/autotrain-citizen_nlu_hindi-1370952776", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

@@ -0,0 +1,145 @@
+{
+  "_name_or_path": "AutoTrain",
+  "_num_labels": 55,
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "ContactRealPerson",
+    "1": "Eligibility For BloodDonationWithComorbidities",
+    "2": "EligibilityForBloodDonationAgeLimit",
+    "3": "EligibilityForBloodDonationCovidGap",
+    "4": "EligibilityForBloodDonationForPregnantWomen",
+    "5": "EligibilityForBloodDonationGap",
+    "6": "EligibilityForBloodDonationSTD",
+    "7": "EligibilityForBloodReceiversBloodGroup",
+    "8": "EligitbilityForVaccine",
+    "9": "InquiryForCovidActiveCasesCount",
+    "10": "InquiryForCovidDeathCount",
+    "11": "InquiryForCovidPrevention",
+    "12": "InquiryForCovidRecentCasesCount",
+    "13": "InquiryForCovidTotalCasesCount",
+    "14": "InquiryForDoctorConsultation",
+    "15": "InquiryForQuarantinePeriod",
+    "16": "InquiryForTravelRestrictions",
+    "17": "InquiryForVaccinationRequirements",
+    "18": "InquiryForVaccineCost",
+    "19": "InquiryForVaccineCount",
+    "20": "InquiryOfContact",
+    "21": "InquiryOfCovidSymptoms",
+    "22": "InquiryOfEmergencyContact",
+    "23": "InquiryOfLocation",
+    "24": "InquiryOfLockdownDetails",
+    "25": "InquiryOfTiming",
+    "26": "InquiryofBloodDonationRequirements",
+    "27": "InquiryofBloodReceivalRequirements",
+    "28": "InquiryofPostBloodDonationCareSchemes",
+    "29": "InquiryofPostBloodDonationCertificate",
+    "30": "InquiryofPostBloodDonationEffects",
+    "31": "InquiryofPostBloodReceivalCareSchemes",
+    "32": "InquiryofPostBloodReceivalEffects",
+    "33": "InquiryofVaccinationAgeLimit",
+    "34": "IntentForBloodDonationAppointment",
+    "35": "IntentForBloodReceivalAppointment",
+    "36": "ReportingAnimalAbuse",
+    "37": "ReportingAnimalPoaching",
+    "38": "ReportingChildAbuse",
+    "39": "ReportingCyberCrime",
+    "40": "ReportingDomesticViolence",
+    "41": "ReportingDowry",
+    "42": "ReportingDrugConsumption",
+    "43": "ReportingDrugTrafficing",
+    "44": "ReportingHitAndRun",
+    "45": "ReportingMissingPerson",
+    "46": "ReportingMissingPets",
+    "47": "ReportingMissingVehicle",
+    "48": "ReportingMurder",
+    "49": "ReportingPropertyTakeOver",
+    "50": "ReportingSexualAssault",
+    "51": "ReportingTheft",
+    "52": "ReportingTresspassing",
+    "53": "ReportingVehicleAccident",
+    "54": "StatusOfFIR"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "ContactRealPerson": 0,
+    "Eligibility For BloodDonationWithComorbidities": 1,
+    "EligibilityForBloodDonationAgeLimit": 2,
+    "EligibilityForBloodDonationCovidGap": 3,
+    "EligibilityForBloodDonationForPregnantWomen": 4,
+    "EligibilityForBloodDonationGap": 5,
+    "EligibilityForBloodDonationSTD": 6,
+    "EligibilityForBloodReceiversBloodGroup": 7,
+    "EligitbilityForVaccine": 8,
+    "InquiryForCovidActiveCasesCount": 9,
+    "InquiryForCovidDeathCount": 10,
+    "InquiryForCovidPrevention": 11,
+    "InquiryForCovidRecentCasesCount": 12,
+    "InquiryForCovidTotalCasesCount": 13,
+    "InquiryForDoctorConsultation": 14,
+    "InquiryForQuarantinePeriod": 15,
+    "InquiryForTravelRestrictions": 16,
+    "InquiryForVaccinationRequirements": 17,
+    "InquiryForVaccineCost": 18,
+    "InquiryForVaccineCount": 19,
+    "InquiryOfContact": 20,
+    "InquiryOfCovidSymptoms": 21,
+    "InquiryOfEmergencyContact": 22,
+    "InquiryOfLocation": 23,
+    "InquiryOfLockdownDetails": 24,
+    "InquiryOfTiming": 25,
+    "InquiryofBloodDonationRequirements": 26,
+    "InquiryofBloodReceivalRequirements": 27,
+    "InquiryofPostBloodDonationCareSchemes": 28,
+    "InquiryofPostBloodDonationCertificate": 29,
+    "InquiryofPostBloodDonationEffects": 30,
+    "InquiryofPostBloodReceivalCareSchemes": 31,
+    "InquiryofPostBloodReceivalEffects": 32,
+    "InquiryofVaccinationAgeLimit": 33,
+    "IntentForBloodDonationAppointment": 34,
+    "IntentForBloodReceivalAppointment": 35,
+    "ReportingAnimalAbuse": 36,
+    "ReportingAnimalPoaching": 37,
+    "ReportingChildAbuse": 38,
+    "ReportingCyberCrime": 39,
+    "ReportingDomesticViolence": 40,
+    "ReportingDowry": 41,
+    "ReportingDrugConsumption": 42,
+    "ReportingDrugTrafficing": 43,
+    "ReportingHitAndRun": 44,
+    "ReportingMissingPerson": 45,
+    "ReportingMissingPets": 46,
+    "ReportingMissingVehicle": 47,
+    "ReportingMurder": 48,
+    "ReportingPropertyTakeOver": 49,
+    "ReportingSexualAssault": 50,
+    "ReportingTheft": 51,
+    "ReportingTresspassing": 52,
+    "ReportingVehicleAccident": 53,
+    "StatusOfFIR": 54
+  },
+  "layer_norm_eps": 1e-05,
+  "max_length": 128,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.20.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 52000
+}

pytorch_model.bin

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special_tokens_map.json

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+{
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+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
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+    "lstrip": false,
+    "normalized": true,
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+    "single_word": false
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+  "errors": "replace",
+  "mask_token": {
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+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "name_or_path": "AutoTrain",
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+    "normalized": true,
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+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
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+  }
+}