abhishek HF staff commited on
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Commit From AutoNLP

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README.md ADDED
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+ ---
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+ tags: autonlp
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+ language: ja
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+ widget:
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+ - text: "I love AutoNLP 🤗"
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+ datasets:
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+ - abhishek/autonlp-data-japanese-sentiment
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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: Binary Classification
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+ - Model ID: 59363
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.12651239335536957
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+ - Accuracy: 0.9532079853817648
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+ - Precision: 0.9729688278823665
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+ - Recall: 0.9744633462616643
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+ - AUC: 0.9717333684823413
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+ - F1: 0.9737155136027014
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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/abhishek/autonlp-japanese-sentiment-59363
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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("abhishek/autonlp-japanese-sentiment-59363", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("abhishek/autonlp-japanese-sentiment-59363", 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": 2,
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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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+ "gradient_checkpointing": false,
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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": "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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+ "positive": 1
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_length": 256,
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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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+ "tokenizer_class": "BertJapaneseTokenizer",
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+ "transformers_version": "4.5.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 32768
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+ }
pytorch_model.bin ADDED
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+ size 444924169
sample_input.pkl ADDED
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special_tokens_map.json ADDED
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+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
tokenizer_config.json ADDED
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+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "do_lower_case": false, "do_word_tokenize": true, "do_subword_tokenize": true, "word_tokenizer_type": "mecab", "subword_tokenizer_type": "wordpiece", "never_split": null, "mecab_kwargs": {"mecab_dic": "unidic_lite"}, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "AutoNLP"}
vocab.txt ADDED
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