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Commit From AutoTrain

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README.md ADDED
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+ ---
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+ tags: autotrain
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+ language: en
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+ widget:
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+ - text: "I love AutoTrain 🤗"
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+ datasets:
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+ - Siddish/autotrain-data-yes-or-no-classifier-on-circa
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+ co2_eq_emissions: 0.1287915253247826
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+
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+ - Problem type: Multi-class Classification
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+ - Model ID: 1009033469
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+ - CO2 Emissions (in grams): 0.1287915253247826
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.4084862470626831
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+ - Accuracy: 0.8722054859679721
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+ - Macro F1: 0.6340608446004876
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+ - Micro F1: 0.8722054859679722
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+ - Weighted F1: 0.8679846554644491
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+ - Macro Precision: 0.645023001823007
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+ - Micro Precision: 0.8722054859679721
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+ - Weighted Precision: 0.8656545967138464
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+ - Macro Recall: 0.6283763558287574
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+ - Micro Recall: 0.8722054859679721
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+ - Weighted Recall: 0.8722054859679721
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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 AutoTrain"}' https://api-inference.huggingface.co/models/Siddish/autotrain-yes-or-no-classifier-on-circa-1009033469
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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("Siddish/autotrain-yes-or-no-classifier-on-circa-1009033469", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("Siddish/autotrain-yes-or-no-classifier-on-circa-1009033469", use_auth_token=True)
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+
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+ inputs = tokenizer("I love AutoTrain", 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": "AutoTrain",
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+ "_num_labels": 8,
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+ "architectures": [
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+ "RobertaForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "eos_token_id": 2,
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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": "I am not sure how X will interpret Y\u2019s answer",
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+ "1": "In the middle, neither yes nor no",
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+ "2": "No",
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+ "3": "Other",
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+ "4": "Probably no",
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+ "5": "Probably yes / sometimes yes",
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+ "6": "Yes",
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+ "7": "Yes, subject to some conditions"
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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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+ "I am not sure how X will interpret Y\u2019s answer": 0,
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+ "In the middle, neither yes nor no": 1,
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+ "No": 2,
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+ "Other": 3,
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+ "Probably no": 4,
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+ "Probably yes / sometimes yes": 5,
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+ "Yes": 6,
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+ "Yes, subject to some conditions": 7
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_length": 64,
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "pad_token_id": 1,
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+ "padding": "max_length",
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.15.0",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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