End of training

README.md

@@ -4,9 +4,6 @@ license: cc-by-nc-sa-4.0
 base_model: microsoft/layoutlmv3-base
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
 model-index:
 - name: layoutlmv3_document_classification
   results: []
@@ -19,9 +16,14 @@ 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: 1.0329
-- Accuracy: 0.8070
-- F1: 0.7806
+- eval_loss: 0.8069
+- eval_accuracy: 0.8405
+- eval_f1: 0.8282
+- eval_runtime: 43.399
+- eval_samples_per_second: 21.521
+- eval_steps_per_second: 1.359
+- epoch: 4.7009
+- step: 1100
 
 ## Model description
 
@@ -40,7 +42,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-06
+- learning_rate: 1e-06
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -49,29 +51,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 10
 
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
-| 0.9913        | 0.5587 | 100  | 1.2412          | 0.7790   | 0.7459 |
-| 0.9127        | 1.1173 | 200  | 1.2323          | 0.7804   | 0.7466 |
-| 0.9307        | 1.6760 | 300  | 1.2167          | 0.7874   | 0.7550 |
-| 0.8986        | 2.2346 | 400  | 1.2004          | 0.7888   | 0.7585 |
-| 0.8744        | 2.7933 | 500  | 1.1751          | 0.7860   | 0.7572 |
-| 0.7765        | 3.3520 | 600  | 1.1382          | 0.7874   | 0.7584 |
-| 0.7695        | 3.9106 | 700  | 1.1275          | 0.7930   | 0.7642 |
-| 0.7158        | 4.4693 | 800  | 1.0994          | 0.8056   | 0.7788 |
-| 0.7015        | 5.0279 | 900  | 1.0844          | 0.7902   | 0.7619 |
-| 0.6286        | 5.5866 | 1000 | 1.0828          | 0.8014   | 0.7728 |
-| 0.693         | 6.1453 | 1100 | 1.0715          | 0.8042   | 0.7768 |
-| 0.6291        | 6.7039 | 1200 | 1.0549          | 0.8070   | 0.7822 |
-| 0.6422        | 7.2626 | 1300 | 1.0502          | 0.8168   | 0.7924 |
-| 0.609         | 7.8212 | 1400 | 1.0368          | 0.8084   | 0.7828 |
-| 0.6022        | 8.3799 | 1500 | 1.0407          | 0.8098   | 0.7824 |
-| 0.5783        | 8.9385 | 1600 | 1.0343          | 0.8112   | 0.7843 |
-| 0.5635        | 9.4972 | 1700 | 1.0329          | 0.8070   | 0.7806 |
-
-
 ### Framework versions
 
 - Transformers 4.47.1

config.json

@@ -103,9 +103,7 @@
     "86": "LABEL_86",
     "87": "LABEL_87",
     "88": "LABEL_88",
-    "89": "LABEL_89",
-    "90": "LABEL_90",
-    "91": "LABEL_91"
+    "89": "LABEL_89"
   },
   "initializer_range": 0.02,
   "input_size": 224,
@@ -200,9 +198,7 @@
     "LABEL_87": 87,
     "LABEL_88": 88,
     "LABEL_89": 89,
-    "LABEL_9": 9,
-    "LABEL_90": 90,
-    "LABEL_91": 91
+    "LABEL_9": 9
   },
   "layer_norm_eps": 1e-05,
   "max_2d_position_embeddings": 1024,

model.safetensors

@@ -1,3 +1,3 @@
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-size 503979592
+oid sha256:d188796c467811a8a8fce973885467f151847ab3f18fec07ba11c130b75920d0
+size 503973440

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:b877a9308b5450e74e3387740bde0d48454fb509989f65c36fbaaa799d153832
 size 5304