finiteautomata commited on
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Initial model

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README.md ADDED
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+ # Sentiment Analysis in English
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+ ## bertweet-sentiment-analysis
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+
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+ Repository: [https://github.com/finiteautomata/pysentimiento/](https://github.com/finiteautomata/pysentimiento/)
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+
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+
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+ Model trained with SemEval 2017 corpus (around ~40k tweets). Base model is [BerTweet](https://github.com/VinAIResearch/BERTweet), a RoBERTa model trained on English tweets.
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+
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+ Uses `POS`, `NEG`, `NEU` labels.
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+
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+ **Coming soon**: a brief paper describing the model and training.
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+
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+ Enjoy! 🤗
added_tokens.json ADDED
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+ {"<mask>": 64000}
bpe.codes ADDED
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config.json ADDED
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+ {
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+ "_name_or_path": "vinai/bertweet-base",
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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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+ "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": "NEG",
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+ "1": "NEU",
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+ "2": "POS"
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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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+ "NEG": 0,
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+ "NEU": 1,
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+ "POS": 2
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 130,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "tokenizer_class": "BertweetTokenizer",
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+ "transformers_version": "4.6.1",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 64001
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+ }
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special_tokens_map.json ADDED
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+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": "<mask>"}
tokenizer_config.json ADDED
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+ {"normalization": false, "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 128, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "vinai/bertweet-base"}
vocab.txt ADDED
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