End of training

README.md

@@ -16,14 +16,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.5337
-- eval_accuracy: 0.7178
-- eval_f1: 0.6969
-- eval_runtime: 21.1856
-- eval_samples_per_second: 21.241
-- eval_steps_per_second: 1.369
-- epoch: 4.4248
-- step: 500
+- eval_loss: 1.0959
+- eval_accuracy: 0.7912
+- eval_f1: 0.7730
+- eval_runtime: 33.1715
+- eval_samples_per_second: 21.947
+- eval_steps_per_second: 1.387
+- epoch: 3.8462
+- step: 700
 
 ## Model description
 
@@ -42,7 +42,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-06
+- learning_rate: 5e-06
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42

model.safetensors

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tokenizer.json

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-    "pad_type_id": 0,
-    "pad_token": "<pad>"
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training_args.bin

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