End of training

README.md

@@ -22,16 +22,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.9577266322217003
+      value: 0.9551958714520291
     - name: Recall
       type: recall
-      value: 0.9661217720919213
+      value: 0.9647003079838901
     - name: F1
       type: f1
-      value: 0.9619058851279632
+      value: 0.9599245638849601
     - name: Accuracy
       type: accuracy
-      value: 0.9865258068848203
+      value: 0.9859886297506603
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -41,11 +41,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [layoutlmv3](https://huggingface.co/layoutlmv3) on the mp-02/cord-sroie dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0793
-- Precision: 0.9577
-- Recall: 0.9661
-- F1: 0.9619
-- Accuracy: 0.9865
+- Loss: 0.0731
+- Precision: 0.9552
+- Recall: 0.9647
+- F1: 0.9599
+- Accuracy: 0.9860
 
 ## Model description
 
@@ -64,7 +64,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 1e-05
 - train_batch_size: 10
 - eval_batch_size: 10
 - seed: 42
@@ -76,16 +76,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.7483  | 250  | 0.1843          | 0.8837    | 0.8714 | 0.8775 | 0.9620   |
-| 0.5214        | 3.4965  | 500  | 0.0954          | 0.9260    | 0.9434 | 0.9346 | 0.9805   |
-| 0.5214        | 5.2448  | 750  | 0.0764          | 0.9453    | 0.9616 | 0.9534 | 0.9842   |
-| 0.0927        | 6.9930  | 1000 | 0.0721          | 0.9496    | 0.9602 | 0.9549 | 0.9846   |
-| 0.0927        | 8.7413  | 1250 | 0.0709          | 0.9515    | 0.9619 | 0.9566 | 0.9854   |
-| 0.0439        | 10.4895 | 1500 | 0.0754          | 0.9546    | 0.9607 | 0.9576 | 0.9857   |
-| 0.0439        | 12.2378 | 1750 | 0.0725          | 0.9537    | 0.9666 | 0.9601 | 0.9863   |
-| 0.0242        | 13.9860 | 2000 | 0.0782          | 0.9560    | 0.9621 | 0.9590 | 0.9860   |
-| 0.0242        | 15.7343 | 2250 | 0.0778          | 0.9603    | 0.9638 | 0.9620 | 0.9866   |
-| 0.0168        | 17.4825 | 2500 | 0.0793          | 0.9577    | 0.9661 | 0.9619 | 0.9865   |
+| No log        | 1.7483  | 250  | 0.3308          | 0.8186    | 0.7941 | 0.8062 | 0.9427   |
+| 0.7339        | 3.4965  | 500  | 0.1450          | 0.9013    | 0.9195 | 0.9103 | 0.9722   |
+| 0.7339        | 5.2448  | 750  | 0.1009          | 0.9314    | 0.9386 | 0.9350 | 0.9791   |
+| 0.1726        | 6.9930  | 1000 | 0.0841          | 0.9445    | 0.9562 | 0.9503 | 0.9839   |
+| 0.1726        | 8.7413  | 1250 | 0.0776          | 0.9563    | 0.9533 | 0.9548 | 0.9850   |
+| 0.0918        | 10.4895 | 1500 | 0.0782          | 0.9450    | 0.9611 | 0.9530 | 0.9844   |
+| 0.0918        | 12.2378 | 1750 | 0.0699          | 0.9539    | 0.9602 | 0.9570 | 0.9856   |
+| 0.0587        | 13.9860 | 2000 | 0.0743          | 0.9550    | 0.9611 | 0.9581 | 0.9859   |
+| 0.0587        | 15.7343 | 2250 | 0.0726          | 0.9596    | 0.9633 | 0.9615 | 0.9863   |
+| 0.046         | 17.4825 | 2500 | 0.0731          | 0.9552    | 0.9647 | 0.9599 | 0.9860   |
 
 
 ### Framework versions

all_results.json

@@ -1,10 +1,10 @@
 {
-    "predict_accuracy": 0.9842134163082273,
-    "predict_f1": 0.9586986617443469,
-    "predict_loss": 0.09166523069143295,
-    "predict_precision": 0.9521081576535289,
-    "predict_recall": 0.9653810408921933,
-    "predict_runtime": 26.1654,
-    "predict_samples_per_second": 10.434,
-    "predict_steps_per_second": 1.07
+    "predict_accuracy": 0.9815594399194656,
+    "predict_f1": 0.9511886987481337,
+    "predict_loss": 0.09471132606267929,
+    "predict_precision": 0.9404951169657052,
+    "predict_recall": 0.9621282527881041,
+    "predict_runtime": 26.2539,
+    "predict_samples_per_second": 10.398,
+    "predict_steps_per_second": 1.067
 }

predict_results.json

@@ -1,10 +1,10 @@
 {
-    "predict_accuracy": 0.9842134163082273,
-    "predict_f1": 0.9586986617443469,
-    "predict_loss": 0.09166523069143295,
-    "predict_precision": 0.9521081576535289,
-    "predict_recall": 0.9653810408921933,
-    "predict_runtime": 26.1654,
-    "predict_samples_per_second": 10.434,
-    "predict_steps_per_second": 1.07
+    "predict_accuracy": 0.9815594399194656,
+    "predict_f1": 0.9511886987481337,
+    "predict_loss": 0.09471132606267929,
+    "predict_precision": 0.9404951169657052,
+    "predict_recall": 0.9621282527881041,
+    "predict_runtime": 26.2539,
+    "predict_samples_per_second": 10.398,
+    "predict_steps_per_second": 1.067
 }

runs/Sep07_18-00-04_bernini/events.out.tfevents.1725728186.bernini.24879.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21b911d2a862f3248d329b63a922a42cd74b4f457e682c0084189cd89ed5c526
+size 560