update model card README.md

README.md

@@ -1,4 +1,5 @@
 ---
+license: cc-by-nc-sa-4.0
 tags:
 - generated_from_trainer
 metrics:
@@ -16,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # layoutlmv3-finetuned-cord_100
 
-This model was trained from scratch on the None dataset.
+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:
-- Loss: 0.7229
-- Precision: 0.6863
-- Recall: 0.7955
-- F1: 0.7368
-- Accuracy: 0.6508
+- Loss: 0.5769
+- Precision: 0.8571
+- Recall: 0.8182
+- F1: 0.8372
+- Accuracy: 0.8730
 
 ## Model description
 
@@ -53,13 +54,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 3.33  | 50   | 0.7229          | 0.6863    | 0.7955 | 0.7368 | 0.6508   |
-| No log        | 6.67  | 100  | 0.7229          | 0.6863    | 0.7955 | 0.7368 | 0.6508   |
+| No log        | 3.33  | 50   | 0.8653          | 0.7727    | 0.7727 | 0.7727 | 0.8571   |
+| No log        | 6.67  | 100  | 0.5769          | 0.8571    | 0.8182 | 0.8372 | 0.8730   |
 
 
 ### Framework versions
 
-- Transformers 4.28.0
+- Transformers 4.29.2
 - Pytorch 2.0.1+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3