abhishek HF staff commited on
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Commit From AutoNLP

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.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.tar.gz filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ tags: autonlp
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+ language: en
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+ widget:
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+ - text: "I love AutoNLP 🤗"
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+ datasets:
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+ - Chijioke/autonlp-data-mono
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+ co2_eq_emissions: 1.1406456838043837
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+ ---
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+
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+ # Model Trained Using AutoNLP
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+
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+ - Problem type: Multi-class Classification
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+ - Model ID: 625317956
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+ - CO2 Emissions (in grams): 1.1406456838043837
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.513037919998169
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+ - Accuracy: 0.8982035928143712
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+ - Macro F1: 0.7843756230226546
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+ - Micro F1: 0.8982035928143712
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+ - Weighted F1: 0.8891653474608059
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+ - Macro Precision: 0.8210878091622635
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+ - Micro Precision: 0.8982035928143712
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+ - Weighted Precision: 0.8888857327766032
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+ - Macro Recall: 0.7731018645485747
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+ - Micro Recall: 0.8982035928143712
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+ - Weighted Recall: 0.8982035928143712
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+
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+
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+ ## Usage
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+
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+ You can use cURL to access this model:
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+
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+ ```
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+ $ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/models/Chijioke/autonlp-mono-625317956
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+ ```
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+
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+ Or Python API:
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+
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+ ```
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+ from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+
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+ model = AutoModelForSequenceClassification.from_pretrained("Chijioke/autonlp-mono-625317956", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("Chijioke/autonlp-mono-625317956", use_auth_token=True)
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+
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+ inputs = tokenizer("I love AutoNLP", return_tensors="pt")
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+
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+ outputs = model(**inputs)
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "AutoNLP",
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+ "_num_labels": 23,
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "Rent",
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+ "1": "atm_withdrawal",
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+ "2": "atm_withdrawal_charges",
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+ "3": "bank_charges",
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+ "4": "bills_or_fees",
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+ "5": "card_request_commission",
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+ "6": "cash_deposit",
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+ "7": "food",
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+ "8": "health",
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+ "9": "investment",
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+ "10": "loan_repayment",
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+ "11": "mature_loan_instalment",
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+ "12": "miscellaneous",
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+ "13": "offline_transactions",
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+ "14": "online_transactions",
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+ "15": "others",
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+ "16": "phone_and_internet",
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+ "17": "reversals",
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+ "18": "salary",
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+ "19": "stamp_duties_charges",
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+ "20": "transfer",
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+ "21": "transportation",
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+ "22": "vat"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "Rent": 0,
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+ "atm_withdrawal": 1,
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+ "atm_withdrawal_charges": 2,
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+ "bank_charges": 3,
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+ "bills_or_fees": 4,
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+ "card_request_commission": 5,
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+ "cash_deposit": 6,
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+ "food": 7,
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+ "health": 8,
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+ "investment": 9,
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+ "loan_repayment": 10,
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+ "mature_loan_instalment": 11,
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+ "miscellaneous": 12,
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+ "transfer": 20,
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+ "transportation": 21,
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+ "vat": 22
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+ },
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+ "max_length": 64,
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ "n_heads": 12,
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+ "n_layers": 6,
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+ "pad_token_id": 0,
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+ "padding": "max_length",
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+ "problem_type": "single_label_classification",
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+ "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.2,
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+ "sinusoidal_pos_embds": false,
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+ "tie_weights_": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.15.0",
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+ "vocab_size": 30522
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+ }
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tokenizer.json ADDED
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