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: 0.0
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
+- Loss: 1.1773
+- Precision: 0.6923
+- Recall: 0.7297
+- F1: 0.7105
+- Accuracy: 0.7383
 
 ## Model description
 
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.54  | 20   | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 3.08  | 40   | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 4.62  | 60   | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.54  | 20   | 1.5463          | 0.6479    | 0.6216 | 0.6345 | 0.6729   |
+| No log        | 3.08  | 40   | 1.2593          | 0.6709    | 0.7162 | 0.6928 | 0.7196   |
+| No log        | 4.62  | 60   | 1.1773          | 0.6923    | 0.7297 | 0.7105 | 0.7383   |
 
 
 ### Framework versions

config.json

@@ -14,19 +14,43 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "question",
-    "1": "answer",
-    "2": "header",
-    "3": "other"
+    "0": "parties",
+    "1": "counsel for plaintiff",
+    "2": "attorney for defendant/cross-complainant/cross-defendant",
+    "3": "telephone",
+    "4": "attorneys for plaintiff",
+    "5": "email",
+    "6": "address",
+    "7": "lawfirm",
+    "8": "attorneys for co-counsel",
+    "9": "attorneys for defendant",
+    "10": "SBN",
+    "11": "attorneys for co-defendant",
+    "12": "fax",
+    "13": "attorney_name",
+    "14": "co-counsel for plaintiff",
+    "15": "other"
   },
   "initializer_range": 0.02,
   "input_size": 224,
   "intermediate_size": 3072,
   "label2id": {
-    "answer": 1,
-    "header": 2,
-    "other": 3,
-    "question": 0
+    "SBN": 10,
+    "address": 6,
+    "attorney for defendant/cross-complainant/cross-defendant": 2,
+    "attorney_name": 13,
+    "attorneys for co-counsel": 8,
+    "attorneys for co-defendant": 11,
+    "attorneys for defendant": 9,
+    "attorneys for plaintiff": 4,
+    "co-counsel for plaintiff": 14,
+    "counsel for plaintiff": 1,
+    "email": 5,
+    "fax": 12,
+    "lawfirm": 7,
+    "other": 15,
+    "parties": 0,
+    "telephone": 3
   },
   "layer_norm_eps": 1e-05,
   "max_2d_position_embeddings": 1024,

model.safetensors

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training_args.bin

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