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| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
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| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 384, | |
| "id2label": { | |
| "0": "stock_analysis", | |
| "1": "out_of_scope" | |
| }, | |
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| "intermediate_size": 1536, | |
| "is_decoder": false, | |
| "label2id": { | |
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| "stock_analysis": 0 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
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| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "tie_word_embeddings": true, | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "transformers_version": "5.10.2", | |
| "type_vocab_size": 2, | |
| "use_cache": false, | |
| "vocab_size": 250037 | |
| } | |