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: 0.6852
-- Accuracy: 0.8480
-- F1: 0.8373
+- eval_loss: 0.7203
+- eval_accuracy: 0.8538
+- eval_f1: 0.8446
+- eval_runtime: 58.2806
+- eval_samples_per_second: 25.24
+- eval_steps_per_second: 1.064
+- epoch: 7.3171
+- step: 1800
 
 ## Model description
 
@@ -50,35 +52,9 @@ The following hyperparameters were used during training:
 - num_epochs: 10
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 4.1758        | 0.5   | 100  | 3.6479          | 0.1754   | 0.0743 |
-| 3.1634        | 1.0   | 200  | 2.5074          | 0.4645   | 0.3598 |
-| 2.2494        | 1.5   | 300  | 1.9309          | 0.5856   | 0.4950 |
-| 1.8063        | 2.0   | 400  | 1.5119          | 0.6817   | 0.6152 |
-| 1.458         | 2.5   | 500  | 1.2952          | 0.7126   | 0.6529 |
-| 1.2453        | 3.0   | 600  | 1.1118          | 0.7728   | 0.7327 |
-| 1.046         | 3.5   | 700  | 1.0126          | 0.7987   | 0.7681 |
-| 0.966         | 4.0   | 800  | 0.9096          | 0.8154   | 0.7929 |
-| 0.7941        | 4.5   | 900  | 0.8714          | 0.8179   | 0.7972 |
-| 0.7796        | 5.0   | 1000 | 0.8019          | 0.8329   | 0.8126 |
-| 0.6561        | 5.5   | 1100 | 0.7623          | 0.8421   | 0.8235 |
-| 0.6419        | 6.0   | 1200 | 0.7399          | 0.8421   | 0.8262 |
-| 0.5715        | 6.5   | 1300 | 0.7127          | 0.8480   | 0.8321 |
-| 0.4991        | 7.0   | 1400 | 0.7502          | 0.8396   | 0.8257 |
-| 0.4697        | 7.5   | 1500 | 0.7124          | 0.8429   | 0.8305 |
-| 0.4618        | 8.0   | 1600 | 0.6976          | 0.8463   | 0.8330 |
-| 0.4117        | 8.5   | 1700 | 0.6892          | 0.8546   | 0.8429 |
-| 0.4274        | 9.0   | 1800 | 0.6915          | 0.8496   | 0.8390 |
-| 0.383         | 9.5   | 1900 | 0.6830          | 0.8471   | 0.8349 |
-| 0.3604        | 10.0  | 2000 | 0.6852          | 0.8480   | 0.8373 |
-
-
 ### Framework versions
 
-- Transformers 4.47.1
+- Transformers 4.48.2
 - Pytorch 2.5.1+cu124
 - Datasets 3.2.0
 - Tokenizers 0.21.0

config.json

@@ -105,7 +105,8 @@
     "88": "LABEL_88",
     "89": "LABEL_89",
     "90": "LABEL_90",
-    "91": "LABEL_91"
+    "91": "LABEL_91",
+    "92": "LABEL_92"
   },
   "initializer_range": 0.02,
   "input_size": 224,
@@ -202,7 +203,8 @@
     "LABEL_89": 89,
     "LABEL_9": 9,
     "LABEL_90": 90,
-    "LABEL_91": 91
+    "LABEL_91": 91,
+    "LABEL_92": 92
   },
   "layer_norm_eps": 1e-05,
   "max_2d_position_embeddings": 1024,
@@ -222,7 +224,7 @@
   "shape_size": 128,
   "text_embed": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.47.1",
+  "transformers_version": "4.48.2",
   "type_vocab_size": 1,
   "visual_embed": true,
   "vocab_size": 50265

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7e75d7ab0bf7fc49091fa690d58386688f7d15790e1ebcc726a0597406c6a9d3
-size 503979592
+oid sha256:610fbaac601b34398ec326194ea9ecf3310c8f1d2ac5aebd6483c650c2533fe8
+size 503982668