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Upload WeightedT5EncoderForTokenClassification

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  1. config.json +53 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "pdf_postprocessor",
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+ "architectures": [
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+ "WeightedT5EncoderForTokenClassification"
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+ ],
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+ "classifier_dropout": 0.0,
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+ "d_ff": 3584,
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+ "d_kv": 64,
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+ "d_model": 1472,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "gelu_new",
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "gated-gelu",
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "0": "equal",
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+ "1": "delete",
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+ "2": "newline-1",
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+ "3": "space-1"
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+ },
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": true,
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+ "label2id": {
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+ "delete": 1,
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+ "equal": 0,
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+ "newline-1": 2,
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+ "space-1": 3
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+ },
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+ "label_weights": [
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+ 1.0,
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+ 5.0,
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+ 30.0,
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+ 20.0
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+ ],
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+ "layer_norm_epsilon": 1e-06,
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+ "max_sequence_length": 4096,
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+ "model_type": "t5",
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+ "num_decoder_layers": 4,
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+ "num_heads": 6,
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+ "num_layers": 12,
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+ "pad_token_id": 0,
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+ "problem_type": "single_label_classification",
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "tie_word_embeddings": false,
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+ "tokenizer_class": "ByT5Tokenizer",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.34.0",
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+ "use_cache": true,
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+ "vocab_size": 384
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+ }
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:873d6c321966cd3e7bdae5d413a78d8da160d615a033b40decfe8a0093a56670
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+ size 870691022