End of training

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: test
   results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 # test
 
 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: 0.3627
+- Precision: 0.7148
+- Recall: 0.7088
+- F1: 0.7118
+- Accuracy: 0.9032
 
 ## Model description
 
@@ -38,13 +49,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 50
+- training_steps: 1000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 0.67  | 50   | 0.8542          | 0.3094    | 0.2780 | 0.2929 | 0.6674   |
+| No log        | 1.33  | 100  | 0.4056          | 0.6460    | 0.5835 | 0.6132 | 0.8685   |
+| No log        | 2.67  | 200  | 0.3499          | 0.6746    | 0.6802 | 0.6774 | 0.8861   |
+| No log        | 4.0   | 300  | 0.3073          | 0.6911    | 0.6862 | 0.6886 | 0.8922   |
+| No log        | 5.33  | 400  | 0.3086          | 0.6899    | 0.6957 | 0.6928 | 0.9001   |
+| 0.388         | 6.67  | 500  | 0.3042          | 0.6973    | 0.7064 | 0.7018 | 0.8988   |
+| 0.388         | 8.0   | 600  | 0.3202          | 0.6990    | 0.6957 | 0.6974 | 0.8966   |
+| 0.388         | 9.33  | 700  | 0.3441          | 0.6937    | 0.6945 | 0.6941 | 0.8948   |
+| 0.388         | 10.67 | 800  | 0.3488          | 0.6925    | 0.7041 | 0.6982 | 0.8948   |
+| 0.388         | 12.0  | 900  | 0.3601          | 0.7011    | 0.7053 | 0.7032 | 0.8983   |
+| 0.1127        | 13.33 | 1000 | 0.3627          | 0.7148    | 0.7088 | 0.7118 | 0.9032   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 501346304

runs/Feb29_07-09-55_f1da3cd6de24/events.out.tfevents.1709190596.f1da3cd6de24.290.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8c0b973c6a8bbe93174fc13eae908bfdbfb95a7d60df15e455ce06bc1958c14a
-size 7602
+oid sha256:ef6709f12330755ebfa37a3cfdbe6a0d74bad0d4df05dc7472db5a51bfb719f4
+size 10527