notsahil commited on
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README.md ADDED
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+ ---
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+ tags:
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+ - text-classification
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+ language:
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+ - unk
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+ widget:
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+ - text: "Enter Any Text"
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+ co2_eq_emissions:
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+ emissions: 0.06970131721690424
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+ ---
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.214
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+ - Accuracy: 0.950
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+ - Macro F1: 0.950
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+ - Micro F1: 0.950
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+ - Weighted F1: 0.950
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+ - Macro Precision: 0.950
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+ - Micro Precision: 0.950
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+ - Weighted Precision: 0.950
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+ - Macro Recall: 0.950
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+ - Micro Recall: 0.950
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+ - Weighted Recall: 0.950
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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": "Enter Text"}' https://api-inference.huggingface.co/models/labofsahil/mod
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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("labofsahil/mod"")
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+
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+ tokenizer = AutoTokenizer.from_pretrained("labofsahil/mod")
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+
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+ inputs = tokenizer("Enter Text", return_tensors="pt")
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+
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+ outputs = model(**inputs)
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+ ```
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+ "[MASK]": 128000
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "AutoTrain",
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+ "_num_labels": 6,
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+ "architectures": [
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+ "DebertaV2ForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "NFSW",
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+ "1": "humiliation",
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+ "2": "profanity",
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+ "3": "self-harm",
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+ "4": "threat",
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+ "5": "toxic"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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+ "label2id": {
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+ "NFSW": 0,
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+ "humiliation": 1,
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+ "profanity": 2,
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+ "self-harm": 3,
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+ "threat": 4,
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+ "toxic": 5
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+ },
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+ "layer_norm_eps": 1e-07,
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+ "max_length": 128,
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+ "max_position_embeddings": 512,
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+ "max_relative_positions": -1,
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+ "model_type": "deberta-v2",
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+ "norm_rel_ebd": "layer_norm",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "pad_token_id": 0,
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+ "padding": "max_length",
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+ "pooler_dropout": 0,
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+ "pooler_hidden_act": "gelu",
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+ "pooler_hidden_size": 1024,
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+ "pos_att_type": [
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+ "p2c",
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+ "c2p"
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+ ],
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+ "position_biased_input": false,
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+ "position_buckets": 256,
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+ "relative_attention": true,
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+ "share_att_key": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.29.2",
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+ "type_vocab_size": 0,
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+ "vocab_size": 128100
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+ }
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