End of training

README.md

@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # lilt-en-funsd-custom
 
-This model is a fine-tuned version of [quethrozar/lilt-en-funsd](https://huggingface.co/quethrozar/lilt-en-funsd) on the mydata dataset.
+This model is a fine-tuned version of [SCUT-DLVCLab/lilt-roberta-en-base](https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base) on the mydata dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0
+- Loss: 0.0085
 - In: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6}
 - Ear: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6}
 - Overall Precision: 1.0
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | In                                                        | Ear                                                       | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
-| 0.0           | 3.33  | 10   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 0.0           | 6.67  | 20   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 0.0           | 10.0  | 30   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 0.0           | 13.33 | 40   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 0.0           | 16.67 | 50   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 0.0           | 20.0  | 60   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 0.0           | 23.33 | 70   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 0.0           | 26.67 | 80   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 0.0           | 30.0  | 90   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 0.0           | 33.33 | 100  | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.7649        | 3.33  | 10   | 0.0085          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.005         | 6.67  | 20   | 0.0004          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0004        | 10.0  | 30   | 0.0001          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0002        | 13.33 | 40   | 0.0001          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0001        | 16.67 | 50   | 0.0000          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0001        | 20.0  | 60   | 0.0000          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0001        | 23.33 | 70   | 0.0000          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0001        | 26.67 | 80   | 0.0000          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0001        | 30.0  | 90   | 0.0000          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0001        | 33.33 | 100  | 0.0000          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
 
 
 ### Framework versions

logs/events.out.tfevents.1685063050.MSI.5457.8

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f961e382a648952fe782eea531198025212d85a825ebeb2e4a00d9433b1fcee2
-size 4912
+oid sha256:672b40f8a1386af37dfaf1b2c152a427c250fa710e262fa486732bfa93491807
+size 11101

logs/events.out.tfevents.1685063190.MSI.5457.10

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:40ef2f8a3c1160913b0b7c0769960f7713fd32eddc47298b5e1ec27cc43f737a
+size 583

preprocessor_config.json

@@ -8,7 +8,7 @@
     0.5,
     0.5
   ],
-  "image_processor_type": "LayoutLMv3ImageProcessor",
+  "image_processor_type": "LayoutLMv3FeatureExtractor",
   "image_std": [
     0.5,
     0.5,

tokenizer.json

@@ -1,7 +1,21 @@
 {
   "version": "1.0",
-  "truncation": null,
-  "padding": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
+  "padding": {
+    "strategy": {
+      "Fixed": 512
+    },
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 1,
+    "pad_type_id": 0,
+    "pad_token": "<pad>"
+  },
   "added_tokens": [
     {
       "id": 0,