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Commit From AutoNLP

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  1. README.md +50 -0
  2. config.json +51 -0
  3. pytorch_model.bin +3 -0
README.md ADDED
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+ ---
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+ tags: autonlp
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+ language: bn
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+ widget:
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+ - text: "I love AutoNLP 🤗"
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+ datasets:
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+ - albertvillanova/autonlp-data-indic_glue-multi_class_classification-1e67664
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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: 1311135
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.35616958141326904
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+ - Accuracy: 0.8979447200566973
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+ - Macro F1: 0.8545383956197669
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+ - Micro F1: 0.8979447200566975
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+ - Weighted F1: 0.8983951947775538
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+ - Macro Precision: 0.8615833774439791
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+ - Micro Precision: 0.8979447200566973
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+ - Weighted Precision: 0.9013559365881655
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+ - Macro Recall: 0.8516503001777104
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+ - Micro Recall: 0.8979447200566973
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+ - Weighted Recall: 0.8979447200566973
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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/albertvillanova/autonlp-indic_glue-multi_class_classification-1e67664-1311135
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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("albertvillanova/autonlp-indic_glue-multi_class_classification-1e67664-1311135", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("albertvillanova/autonlp-indic_glue-multi_class_classification-1e67664-1311135", 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": 6,
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+ "architectures": [
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+ "AlbertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0,
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+ "bos_token_id": 2,
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+ "classifier_dropout_prob": 0.1,
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+ "down_scale_factor": 1,
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+ "embedding_size": 128,
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+ "eos_token_id": 3,
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+ "gap_size": 0,
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+ "hidden_act": "gelu_new",
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+ "hidden_dropout_prob": 0,
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "0",
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+ "1": "1",
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+ "2": "2",
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+ "3": "3",
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+ "4": "4",
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+ "5": "5"
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+ },
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+ "initializer_range": 0.02,
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+ "inner_group_num": 1,
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+ "intermediate_size": 4096,
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+ "label2id": {
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+ "0": 0,
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+ "1": 1,
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+ "2": 2,
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+ "3": 3,
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+ "4": 4,
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+ "5": 5
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_length": 128,
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+ "max_position_embeddings": 512,
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+ "model_type": "albert",
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+ "net_structure_type": 0,
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+ "num_attention_heads": 16,
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+ "num_hidden_groups": 1,
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+ "num_hidden_layers": 24,
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+ "num_memory_blocks": 0,
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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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+ "transformers_version": "4.5.1",
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+ "type_vocab_size": 2,
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+ "vocab_size": 32000
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+ }
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