Upload WeightedT5EncoderForTokenClassification

config.json

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+{
+  "_name_or_path": "pdf_postprocessor",
+  "architectures": [
+    "WeightedT5EncoderForTokenClassification"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 3584,
+  "d_kv": 64,
+  "d_model": 1472,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "equal",
+    "1": "delete",
+    "2": "newline-1",
+    "3": "space-1"
+  },
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "label2id": {
+    "delete": 1,
+    "equal": 0,
+    "newline-1": 2,
+    "space-1": 3
+  },
+  "label_weights": [
+    1.0,
+    5.0,
+    30.0,
+    20.0
+  ],
+  "layer_norm_epsilon": 1e-06,
+  "max_sequence_length": 4096,
+  "model_type": "t5",
+  "num_decoder_layers": 4,
+  "num_heads": 6,
+  "num_layers": 12,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "ByT5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.0",
+  "use_cache": true,
+  "vocab_size": 384
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:873d6c321966cd3e7bdae5d413a78d8da160d615a033b40decfe8a0093a56670
+size 870691022