End of training

README.md

@@ -20,11 +20,11 @@ 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:
-- Loss: 0.0927
+- Loss: 0.0209
 - Precision: 1.0
 - Recall: 1.0
 - F1: 1.0
-- Accuracy: 0.9770
+- Accuracy: 1.0
 
 ## Model description
 
@@ -55,21 +55,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 0.2618 | 100  | 0.8328          | 0.9560    | 0.9542 | 0.9551 | 0.6809   |
-| No log        | 0.5236 | 200  | 0.6762          | 0.9539    | 0.9485 | 0.9512 | 0.7220   |
-| No log        | 0.7853 | 300  | 0.4139          | 0.9981    | 0.9981 | 0.9981 | 0.9046   |
-| No log        | 1.0471 | 400  | 0.1853          | 0.9962    | 0.9962 | 0.9962 | 0.9655   |
-| 0.6198        | 1.3089 | 500  | 0.0927          | 1.0       | 1.0    | 1.0    | 0.9770   |
-| 0.6198        | 1.5707 | 600  | 0.0518          | 1.0       | 1.0    | 1.0    | 0.9885   |
-| 0.6198        | 1.8325 | 700  | 0.0414          | 1.0       | 1.0    | 1.0    | 0.9868   |
-| 0.6198        | 2.0942 | 800  | 0.0330          | 1.0       | 1.0    | 1.0    | 0.9951   |
-| 0.6198        | 2.3560 | 900  | 0.0282          | 1.0       | 1.0    | 1.0    | 0.9984   |
-| 0.0565        | 2.6178 | 1000 | 0.0260          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 0.0290 | 100  | 0.8242          | 0.9549    | 0.9520 | 0.9534 | 0.7171   |
+| No log        | 0.0579 | 200  | 0.5708          | 0.9636    | 0.9772 | 0.9703 | 0.7951   |
+| No log        | 0.0869 | 300  | 0.3493          | 0.9993    | 0.9993 | 0.9993 | 0.8839   |
+| No log        | 0.1158 | 400  | 0.1466          | 0.9998    | 0.9998 | 0.9998 | 0.9752   |
+| 0.6024        | 0.1448 | 500  | 0.0689          | 0.9965    | 0.9972 | 0.9969 | 0.9823   |
+| 0.6024        | 0.1738 | 600  | 0.0442          | 1.0       | 1.0    | 1.0    | 0.9946   |
+| 0.6024        | 0.2027 | 700  | 0.0360          | 1.0       | 1.0    | 1.0    | 0.9847   |
+| 0.6024        | 0.2317 | 800  | 0.0280          | 1.0       | 1.0    | 1.0    | 0.9972   |
+| 0.6024        | 0.2606 | 900  | 0.0247          | 1.0       | 1.0    | 1.0    | 0.9953   |
+| 0.0516        | 0.2896 | 1000 | 0.0209          | 1.0       | 1.0    | 1.0    | 1.0      |
 
 
 ### Framework versions
 
-- Transformers 4.43.2
+- Transformers 4.43.3
 - Pytorch 2.1.0+cu118
 - Datasets 2.20.0
 - Tokenizers 0.19.1