Hezar: Upload model and config
Browse files- model_config.yaml +46 -0
model_config.yaml
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name: bert_sequence_labeling
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config_type: model
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task: sequence_labeling
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num_labels: 23
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id2label:
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0: P
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1: Ne
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2: PRO
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3: CONJ
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4: 'N'
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5: PUNC
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6: Pe
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7: ADV
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8: V
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9: AJ
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10: AJe
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11: DET
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12: POSTP
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13: NUM
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14: DETe
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15: NUMe
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16: PROe
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17: ADVe
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18: RES
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19: CL
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20: INT
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21: CONJe
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22: RESe
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vocab_size: 42000
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hidden_size: 768
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num_hidden_layers: 12
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num_attention_heads: 12
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intermediate_size: 3072
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hidden_act: gelu
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hidden_dropout_prob: 0.1
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attention_probs_dropout_prob: 0.1
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max_position_embeddings: 512
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type_vocab_size: 2
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initializer_range: 0.02
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layer_norm_eps: 1.0e-12
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pad_token_id: 0
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position_embedding_type: absolute
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use_cache: true
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prediction_skip_tokens:
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- '[SEP]'
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- '[CLS]'
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