layoutlmv3-finetuned-cord_gpu

README.md

@@ -3,6 +3,11 @@ license: cc-by-nc-sa-4.0
 base_model: microsoft/layoutlmv3-base
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: layoutlmv3-finetuned-cord_gpu
   results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 # layoutlmv3-finetuned-cord_gpu
 
 This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3983
+- Precision: 0.8664
+- Recall: 0.8625
+- F1: 0.8644
+- Accuracy: 0.8969
 
 ## Model description
 
@@ -33,15 +44,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 5
-- eval_batch_size: 5
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 10
+- training_steps: 650
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 2.5   | 250  | 0.6325          | 0.8341    | 0.8290 | 0.8316 | 0.8558   |
+| 0.9598        | 5.0   | 500  | 0.3983          | 0.8664    | 0.8625 | 0.8644 | 0.8969   |
 
 
 ### Framework versions