End of training

README.md

@@ -15,18 +15,18 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.3487
-- eval_noise: {'precision': 0.6914893617021277, 'recall': 0.7210776545166403, 'f1': 0.7059736229635376, 'number': 631}
-- eval_signal: {'precision': 0.684931506849315, 'recall': 0.7142857142857143, 'f1': 0.6993006993006993, 'number': 630}
-- eval_overall_precision: 0.6882
-- eval_overall_recall: 0.7177
-- eval_overall_f1: 0.7026
-- eval_overall_accuracy: 0.9325
-- eval_runtime: 0.9604
-- eval_samples_per_second: 37.484
-- eval_steps_per_second: 5.206
-- epoch: 24.0
-- step: 432
+- eval_loss: 0.2406
+- eval_noise: {'precision': 0.772093023255814, 'recall': 0.8019323671497585, 'f1': 0.7867298578199052, 'number': 621}
+- eval_signal: {'precision': 0.7472868217054264, 'recall': 0.77491961414791, 'f1': 0.7608524072612471, 'number': 622}
+- eval_overall_precision: 0.7597
+- eval_overall_recall: 0.7884
+- eval_overall_f1: 0.7738
+- eval_overall_accuracy: 0.9518
+- eval_runtime: 1.0449
+- eval_samples_per_second: 34.452
+- eval_steps_per_second: 4.785
+- epoch: 19.0
+- step: 342
 
 ## Model description
 

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+  "_name_or_path": "microsoft/layoutlm-base-uncased",
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+    "LayoutLMv3ForTokenClassification"
+  ],
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+    "1": "I-signal"
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+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 512,
+  "max_rel_2d_pos": 256,
+  "max_rel_pos": 128,
+  "model_type": "layoutlmv3",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "patch_size": 16,
+  "position_embedding_type": "absolute",
+  "rel_2d_pos_bins": 64,
+  "rel_pos_bins": 32,
+  "shape_size": 128,
+  "text_embed": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "visual_embed": true,
+  "vocab_size": 30522
+}

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