add model
Browse files- config.json +50 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "monologg/kobigbird-bert-base",
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"architectures": [
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"BigBirdForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"attention_type": "block_sparse",
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"block_size": 64,
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"bos_token_id": 5,
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"classifier_dropout": null,
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"eos_token_id": 6,
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"gradient_checkpointing": false,
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"hidden_act": "gelu_new",
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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": "normal",
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"1": "coin_forecast",
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"2": "stock_forecast",
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"3": "aha_service",
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"4": "aha_token"
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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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"aha_service": 3,
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"aha_token": 4,
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"coin_forecast": 1,
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"normal": 0,
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"stock_forecast": 2
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 4096,
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"model_type": "big_bird",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"num_random_blocks": 3,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "multi_label_classification",
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"rescale_embeddings": false,
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"sep_token_id": 3,
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"tokenizer_class": "BertTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.12.0",
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"type_vocab_size": 2,
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"use_bias": true,
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"use_cache": true,
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"vocab_size": 32500
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9dc10441e6d756df2b3c0cd38af4371120d87e7e6bf5eb1ea4ad83998ab742ca
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size 457506601
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