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Upload BertForSequenceClassification

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  1. config.json +51 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "Aniemore/rubert-base-emotion-russian-cedr-m7",
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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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+ "directionality": "bidi",
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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": "anger",
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+ "1": "disgust",
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+ "2": "enthusiasm",
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+ "3": "fear",
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+ "4": "happiness",
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+ "5": "neutral",
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+ "6": "sadness"
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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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+ "anger": 0,
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+ "disgust": 1,
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+ "enthusiasm": 2,
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+ "fear": 3,
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+ "happiness": 4,
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+ "neutral": 5,
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+ "sadness": 6
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+ },
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+ "layer_norm_eps": 1e-12,
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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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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "pooler_fc_size": 768,
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+ "pooler_num_attention_heads": 12,
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+ "pooler_num_fc_layers": 3,
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+ "pooler_size_per_head": 128,
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+ "pooler_type": "first_token_transform",
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+ "position_embedding_type": "absolute",
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+ "problem_type": "multi_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.25.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 119547
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+ }
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:bbf345cc3fed2a76168c240cd24aa99cf064b61c7e55192b5c5930c1ffeff6a7
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+ size 711505269