Training in progress, step 500

config.json

@@ -1,12 +1,15 @@
 {
-  "_name_or_path": "microsoft/layoutlm-base-cased",
+  "_name_or_path": "hslee/layoutlmv3",
   "architectures": [
     "LayoutLMForTokenClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "bos_token_id": 0,
+  "classifier_dropout": null,
+  "coordinate_size": 128,
   "eos_token_id": 2,
-  "gradient_checkpointing": false,
+  "has_relative_attention_bias": true,
+  "has_spatial_attention_bias": true,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
@@ -29,6 +32,7 @@
     "15": "telephone"
   },
   "initializer_range": 0.02,
+  "input_size": 224,
   "intermediate_size": 3072,
   "label2id": {
     "SBN": 0,
@@ -51,15 +55,24 @@
   "layer_norm_eps": 1e-05,
   "max_2d_position_embeddings": 1024,
   "max_position_embeddings": 514,
+  "max_rel_2d_pos": 256,
+  "max_rel_pos": 128,
   "model_type": "layoutlm",
   "num_attention_heads": 12,
+  "num_channels": 3,
   "num_hidden_layers": 12,
   "pad_token_id": 1,
+  "patch_size": 16,
   "position_embedding_type": "absolute",
-  "tokenizer_class": "RobertaTokenizer",
+  "rel_2d_pos_bins": 64,
+  "rel_pos_bins": 32,
+  "second_input_size": 112,
+  "shape_size": 128,
+  "text_embed": true,
   "torch_dtype": "float32",
   "transformers_version": "4.39.0.dev0",
   "type_vocab_size": 1,
   "use_cache": true,
+  "visual_embed": true,
   "vocab_size": 50265
 }

model.safetensors

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runs/Mar15_06-02-51_91b63dc5e9e0/events.out.tfevents.1710482572.91b63dc5e9e0.375.2

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training_args.bin

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