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Commit From AutoTrain

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.gitattributes CHANGED
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README.md ADDED
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+ ---
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+ tags: autotrain
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+ language: tr
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+ widget:
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+ - text: "I love AutoTrain 🤗"
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+ datasets:
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+ - emre/autotrain-data-turkish-sentiment-analysis
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+ co2_eq_emissions: 120.82460124309924
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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: 870727732
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+ - CO2 Emissions (in grams): 120.82460124309924
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.1098366305232048
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+ - Accuracy: 0.9697853317600073
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+ - Macro F1: 0.9482820974460786
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+ - Micro F1: 0.9697853317600073
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+ - Weighted F1: 0.9695237873890088
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+ - Macro Precision: 0.9540948884759232
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+ - Micro Precision: 0.9697853317600073
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+ - Weighted Precision: 0.9694186941924757
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+ - Macro Recall: 0.9428467518468838
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+ - Micro Recall: 0.9697853317600073
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+ - Weighted Recall: 0.9697853317600073
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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/emre/autotrain-turkish-sentiment-analysis-870727732
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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("emre/autotrain-turkish-sentiment-analysis-870727732", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("emre/autotrain-turkish-sentiment-analysis-870727732", 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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+ "_name_or_path": "AutoTrain",
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+ "_num_labels": 3,
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "Negative",
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+ "1": "Notr",
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+ "2": "Positive"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "Negative": 0,
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+ "Notr": 1,
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+ "Positive": 2
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_length": 64,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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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": 2,
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+ "use_cache": true,
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+ "vocab_size": 128000
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+ }
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tokenizer.json ADDED
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vocab.txt ADDED
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