Training in progress, step 200

config.json

@@ -1,15 +1,13 @@
 {
-  "_name_or_path": "hslee/layoutlmv3",
+  "_name_or_path": "SCUT-DLVCLab/lilt-roberta-en-base",
   "architectures": [
-    "LayoutLMForTokenClassification"
+    "LiltForTokenClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "bos_token_id": 0,
+  "channel_shrink_ratio": 4,
   "classifier_dropout": null,
-  "coordinate_size": 128,
   "eos_token_id": 2,
-  "has_relative_attention_bias": true,
-  "has_spatial_attention_bias": true,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
@@ -32,7 +30,6 @@
     "15": "telephone"
   },
   "initializer_range": 0.02,
-  "input_size": 224,
   "intermediate_size": 3072,
   "label2id": {
     "SBN": 0,
@@ -55,24 +52,14 @@
   "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",
+  "model_type": "lilt",
   "num_attention_heads": 12,
-  "num_channels": 3,
   "num_hidden_layers": 12,
   "pad_token_id": 1,
-  "patch_size": 16,
   "position_embedding_type": "absolute",
-  "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

@@ -1,3 +1,3 @@
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+size 520755248

runs/Mar15_08-44-57_82f3553afc0e/events.out.tfevents.1710492298.82f3553afc0e.520.0

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training_args.bin

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