Upload RobertaForSequenceClassification
Browse files- config.json +80 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "pdelobelle/robbert-v2-dutch-base",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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": "1 - Macroeconomics",
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"1": "10 - Transportation",
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"2": "12 - Law and Crime",
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"3": "13 - Social Welfare",
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"4": "14 - Housing",
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"5": "15 - Domestic Commerce",
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"6": "16 - Defense",
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"7": "17 - Technology",
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"8": "18 - Foreign Trade",
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"9": "19.1 - International Affairs",
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"10": "19.2 - European Integration",
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"11": "2 - Civil Rights",
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"12": "20 - Government Operations",
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"13": "23 - Culture",
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"14": "3 - Health",
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"15": "4 - Agriculture",
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"16": "5 - Labor",
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"17": "6 - Education",
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"18": "7 - Environment",
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"19": "8 - Energy",
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"20": "9 - Immigration",
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"21": "98 - Non-thematic",
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"22": "99 - Other"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_10": 10,
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"LABEL_11": 11,
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"LABEL_12": 12,
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"LABEL_13": 13,
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"LABEL_14": 14,
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"LABEL_15": 15,
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"LABEL_16": 16,
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"LABEL_17": 17,
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"LABEL_18": 18,
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"LABEL_19": 19,
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"LABEL_2": 2,
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"LABEL_20": 20,
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"LABEL_21": 21,
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"LABEL_22": 22,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6,
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"LABEL_7": 7,
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"LABEL_8": 8,
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"LABEL_9": 9
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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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": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.28.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 40000
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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:c6288b25cb2d7e4dcec28a0ab87941b0da27541b9cae2c6d9b8a9d6da6913ecc
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size 467192565
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