abhishek HF staff commited on
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Commit From AutoNLP

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.gitattributes CHANGED
@@ -25,3 +25,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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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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+ - FuriouslyAsleep/autotrain-data-markingClassifier
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+ co2_eq_emissions: 0.5712537632313806
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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: 661319476
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+ - CO2 Emissions (in grams): 0.5712537632313806
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.859619140625
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+ - Accuracy: 0.8
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+ - Macro F1: 0.6
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+ - Micro F1: 0.8000000000000002
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+ - Weighted F1: 0.72
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+ - Macro Precision: 0.5555555555555555
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+ - Micro Precision: 0.8
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+ - Weighted Precision: 0.6666666666666666
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+ - Macro Recall: 0.6666666666666666
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+ - Micro Recall: 0.8
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+ - Weighted Recall: 0.8
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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/FuriouslyAsleep/autonlp-markingClassifier-661319476
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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("FuriouslyAsleep/autonlp-markingClassifier-661319476", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("FuriouslyAsleep/autonlp-markingClassifier-661319476", 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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+ ```
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+ {
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+ "_name_or_path": "AutoNLP",
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+ "_num_labels": 3,
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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": "Nuclear",
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+ "1": "Null",
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+ "2": "Technical"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "Nuclear": 0,
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+ "Null": 1,
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+ "Technical": 2
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+ },
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+ "max_length": 256,
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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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vocab.txt ADDED
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