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config.json ADDED
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+ {
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+ "_name_or_path": "cambridgeltl/sst_mobilebert-uncased",
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+ "architectures": [
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+ "MobileBertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_activation": true,
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+ "embedding_size": 128,
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+ "hidden_act": "relu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 512,
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+ "id2label": {
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+ "0": "sadness",
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+ "1": "joy",
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+ "2": "love",
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+ "3": "anger",
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+ "4": "fear",
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+ "5": "surprise"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 512,
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+ "intra_bottleneck_size": 128,
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+ "key_query_shared_bottleneck": true,
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+ "label2id": {
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+ "anger": 3,
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+ "fear": 4,
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+ "joy": 1,
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+ "love": 2,
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+ "sadness": 0,
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+ "surprise": 5
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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": "mobilebert",
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+ "normalization_type": "no_norm",
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+ "num_attention_heads": 4,
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+ "num_feedforward_networks": 4,
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+ "num_hidden_layers": 24,
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+ "pad_token_id": 0,
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.20.1",
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+ "trigram_input": true,
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+ "true_hidden_size": 128,
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+ "type_vocab_size": 2,
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+ "use_bottleneck": true,
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+ "use_bottleneck_attention": false,
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+ "vocab_size": 30522
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+ }
pytorch_model.bin ADDED
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special_tokens_map.json ADDED
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+ {
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "cls_token": "[CLS]",
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+ "do_lower_case": true,
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+ "mask_token": "[MASK]",
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+ "name_or_path": "cambridgeltl/sst_mobilebert-uncased",
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+ "pad_token": "[PAD]",
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+ "special_tokens_map_file": null,
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+ "strip_accents": null,
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+ "tokenize_chinese_chars": true,
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+ "tokenizer_class": "MobileBertTokenizer",
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+ "unk_token": "[UNK]"
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+ }
vocab.txt ADDED
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