End of training

README.md

@@ -3,6 +3,8 @@ license: cc-by-nc-sa-4.0
 base_model: microsoft/layoutlmv3-base
 tags:
 - generated_from_trainer
+datasets:
+- funsd-layoutlmv3
 metrics:
 - precision
 - recall
@@ -10,7 +12,29 @@ metrics:
 - accuracy
 model-index:
 - name: test
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: funsd-layoutlmv3
+      type: funsd-layoutlmv3
+      config: funsd
+      split: test
+      args: funsd
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.8889970788704966
+    - name: Recall
+      type: recall
+      value: 0.907103825136612
+    - name: F1
+      type: f1
+      value: 0.8979591836734693
+    - name: Accuracy
+      type: accuracy
+      value: 0.8665161060263877
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,13 +42,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test
 
-This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the funsd-layoutlmv3 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6850
-- Precision: 0.8936
-- Recall: 0.9136
-- F1: 0.9035
-- Accuracy: 0.8445
+- Loss: 0.5474
+- Precision: 0.8890
+- Recall: 0.9071
+- F1: 0.8980
+- Accuracy: 0.8665
 
 ## Model description
 
@@ -55,21 +79,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.33  | 100  | 0.6682          | 0.7574    | 0.8311 | 0.7925 | 0.7658   |
-| No log        | 2.67  | 200  | 0.4970          | 0.8289    | 0.8833 | 0.8552 | 0.8339   |
-| No log        | 4.0   | 300  | 0.5550          | 0.8398    | 0.8882 | 0.8634 | 0.8128   |
-| No log        | 5.33  | 400  | 0.5001          | 0.8800    | 0.9106 | 0.8950 | 0.8500   |
-| 0.5341        | 6.67  | 500  | 0.5645          | 0.8947    | 0.9036 | 0.8992 | 0.8456   |
-| 0.5341        | 8.0   | 600  | 0.5797          | 0.8847    | 0.9190 | 0.9016 | 0.8537   |
-| 0.5341        | 9.33  | 700  | 0.6635          | 0.8816    | 0.9101 | 0.8956 | 0.8421   |
-| 0.5341        | 10.67 | 800  | 0.6857          | 0.8939    | 0.9126 | 0.9031 | 0.8452   |
-| 0.5341        | 12.0  | 900  | 0.6777          | 0.8941    | 0.9146 | 0.9042 | 0.8438   |
-| 0.1335        | 13.33 | 1000 | 0.6850          | 0.8936    | 0.9136 | 0.9035 | 0.8445   |
+| No log        | 1.33  | 100  | 0.5976          | 0.7412    | 0.8296 | 0.7829 | 0.8001   |
+| No log        | 2.67  | 200  | 0.5019          | 0.8259    | 0.8698 | 0.8473 | 0.8269   |
+| No log        | 4.0   | 300  | 0.4829          | 0.8701    | 0.8982 | 0.8839 | 0.8540   |
+| No log        | 5.33  | 400  | 0.4490          | 0.8829    | 0.9141 | 0.8982 | 0.8725   |
+| 0.5303        | 6.67  | 500  | 0.5120          | 0.8721    | 0.9046 | 0.8881 | 0.8574   |
+| 0.5303        | 8.0   | 600  | 0.5212          | 0.8802    | 0.9011 | 0.8905 | 0.8644   |
+| 0.5303        | 9.33  | 700  | 0.5447          | 0.8918    | 0.9086 | 0.9001 | 0.8559   |
+| 0.5303        | 10.67 | 800  | 0.5304          | 0.8875    | 0.9056 | 0.8965 | 0.8713   |
+| 0.5303        | 12.0  | 900  | 0.5496          | 0.8878    | 0.9081 | 0.8978 | 0.8630   |
+| 0.1291        | 13.33 | 1000 | 0.5474          | 0.8890    | 0.9071 | 0.8980 | 0.8665   |
 
 
 ### Framework versions
 
-- Transformers 4.37.0.dev0
-- Pytorch 2.1.0+cu121
-- Datasets 2.16.0
-- Tokenizers 0.15.0
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -51,7 +51,7 @@
   "shape_size": 128,
   "text_embed": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.37.0.dev0",
+  "transformers_version": "4.39.0.dev0",
   "type_vocab_size": 1,
   "visual_embed": true,
   "vocab_size": 50265

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:7e813933d2a9f3cea9df985ed021fa23d9c8577bdb5a07fad9d78cb98ce27045
 size 501355532

preprocessor_config.json

@@ -1,4 +1,21 @@
 {
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "apply_ocr",
+    "ocr_lang",
+    "tesseract_config",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
   "apply_ocr": true,
   "do_normalize": true,
   "do_rescale": true,

runs/Mar16_20-30-01_7d270137fb59/events.out.tfevents.1710621010.7d270137fb59.7070.1

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runs/Mar16_20-30-01_7d270137fb59/events.out.tfevents.1710621641.7d270137fb59.7070.2

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tokenizer.json

@@ -1,21 +1,7 @@
 {
   "version": "1.0",
-  "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>"
-  },
+  "truncation": null,
+  "padding": null,
   "added_tokens": [
     {
       "id": 0,

training_args.bin

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