Upload BertForSequenceClassification
Browse files- config.json +47 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "tkcho/cp-commerce-clf-kr-sku-brand-6255824c55ae1d92f858e1dcde5b75da",
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"accuracy": 1.0,
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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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"checksum": "40a6ecd6e5ac84fa419868fd7a8bed4707787744d7c0e09926784b04d4b6f962",
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"classifier_dropout": null,
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"epoch": 6,
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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": "46 wm un550 uhd tv max hdr i20",
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"1": "74 zen u650 uhd tv max hdr"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"kind": "sku",
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"label2id": {
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"46 wm un550 uhd tv max hdr i20": 0,
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"74 zen u650 uhd tv max hdr": 1
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},
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"layer_norm_eps": 1e-12,
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"loss": 0.4129638671875,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"n_classes": 2,
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"n_samples": 2,
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"reg_dt": "2023-11-17 06:57:48",
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"tokenizer_class": "tkcho/commerce-tokenizer-kr",
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"torch_dtype": "float32",
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"transformers_version": "4.34.1",
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"type_vocab_size": 2,
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"unit": "brand",
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"unit_name": "\uc640\uc0ac\ube44\ub9dd\uace0",
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"unit_name_id": "6255824c55ae1d92f858e1dcde5b75da",
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"use_cache": true,
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"vocab_size": 42000
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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:cef5b4d734001027f14289b919c57396f906dd72687619872cab64b33036a2af
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size 473264561
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