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: 0.6825
-- Accuracy: 0.8626
-- F1: 0.8556
+- eval_loss: 0.6162
+- eval_accuracy: 0.8695
+- eval_f1: 0.8611
+- eval_runtime: 88.0775
+- eval_samples_per_second: 24.887
+- eval_steps_per_second: 1.045
+- epoch: 4.5
+- step: 1647
 
 ## Model description
 
@@ -47,28 +49,12 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.06
-- num_epochs: 5
+- num_epochs: 7
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
-| 0.6422        | 0.4983 | 150  | 0.8329          | 0.8127   | 0.7921 |
-| 0.6726        | 0.9967 | 300  | 0.7887          | 0.8310   | 0.8159 |
-| 0.5329        | 1.4950 | 450  | 0.7981          | 0.8183   | 0.8055 |
-| 0.5147        | 1.9934 | 600  | 0.7746          | 0.8360   | 0.8273 |
-| 0.4119        | 2.4917 | 750  | 0.7384          | 0.8438   | 0.8329 |
-| 0.4011        | 2.9900 | 900  | 0.7318          | 0.8465   | 0.8392 |
-| 0.3469        | 3.4884 | 1050 | 0.7317          | 0.8488   | 0.8412 |
-| 0.3148        | 3.9867 | 1200 | 0.7218          | 0.8548   | 0.8472 |
-| 0.2974        | 4.4850 | 1350 | 0.6903          | 0.8620   | 0.8559 |
-| 0.297         | 4.9834 | 1500 | 0.6825          | 0.8626   | 0.8556 |
-
-
 ### Framework versions
 
-- Transformers 4.48.3
-- Pytorch 2.5.1+cu124
-- Datasets 3.3.2
-- Tokenizers 0.21.0
+- Transformers 4.50.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.1

config.json

@@ -1,5 +1,4 @@
 {
-  "_name_or_path": "microsoft/layoutlmv3-base",
   "architectures": [
     "LayoutLMv3ForSequenceClassification"
   ],
@@ -107,7 +106,8 @@
     "90": "LABEL_90",
     "91": "LABEL_91",
     "92": "LABEL_92",
-    "93": "LABEL_93"
+    "93": "LABEL_93",
+    "94": "LABEL_94"
   },
   "initializer_range": 0.02,
   "input_size": 224,
@@ -206,7 +206,8 @@
     "LABEL_90": 90,
     "LABEL_91": 91,
     "LABEL_92": 92,
-    "LABEL_93": 93
+    "LABEL_93": 93,
+    "LABEL_94": 94
   },
   "layer_norm_eps": 1e-05,
   "max_2d_position_embeddings": 1024,
@@ -226,7 +227,7 @@
   "shape_size": 128,
   "text_embed": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.48.3",
+  "transformers_version": "4.50.0",
   "type_vocab_size": 1,
   "visual_embed": true,
   "vocab_size": 50265

model.safetensors

@@ -1,3 +1,3 @@
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-size 503985744
+oid sha256:435c95787207851dc0ff9ca9f148d2d428faad807771a749dd53d1b589e77c73
+size 503988820

training_args.bin

@@ -1,3 +1,3 @@
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 size 5304