End of training

README.md

@@ -0,0 +1,102 @@
+---
+library_name: transformers
+license: cc-by-nc-sa-4.0
+base_model: microsoft/layoutxlm-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Layout-finetuned-fr-model-107instances107-150epochs-5e-05lr-GPU
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Layout-finetuned-fr-model-107instances107-150epochs-5e-05lr-GPU
+
+This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0000
+- Accuracy: 1.0
+- Learning Rate: 1e-05
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- 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: reduce_lr_on_plateau
+- lr_scheduler_warmup_ratio: 0.06
+- num_epochs: 150
+
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss | Accuracy | Learning Rate |
+|:-------------:|:--------:|:----:|:---------------:|:--------:|:-------------:|
+| 0.0236        | 3.7037   | 100  | 0.0071          | 0.9953   | 5e-05         |
+| 0.0547        | 7.4074   | 200  | 0.1518          | 0.9813   | 5e-05         |
+| 0.1261        | 11.1111  | 300  | 0.0840          | 0.9860   | 5e-05         |
+| 0.1562        | 14.8148  | 400  | 0.1556          | 0.9860   | 5e-05         |
+| 0.0973        | 18.5185  | 500  | 0.0426          | 0.9907   | 5e-05         |
+| 0.0273        | 22.2222  | 600  | 0.0005          | 1.0      | 5e-05         |
+| 0.0709        | 25.9259  | 700  | 0.0258          | 0.9860   | 5e-05         |
+| 0.072         | 29.6296  | 800  | 0.0071          | 0.9953   | 5e-05         |
+| 0.079         | 33.3333  | 900  | 0.0000          | 1.0      | 5e-05         |
+| 0.0147        | 37.0370  | 1000 | 0.0001          | 1.0      | 5e-05         |
+| 0.0182        | 40.7407  | 1100 | 0.0000          | 1.0      | 5e-05         |
+| 0.0363        | 44.4444  | 1200 | 0.0000          | 1.0      | 5e-05         |
+| 0.0116        | 48.1481  | 1300 | 0.0000          | 1.0      | 5e-05         |
+| 0.0101        | 51.8519  | 1400 | 0.0001          | 1.0      | 5e-05         |
+| 0.0454        | 55.5556  | 1500 | 0.0280          | 0.9953   | 5e-05         |
+| 0.1           | 59.2593  | 1600 | 0.0036          | 1.0      | 5e-05         |
+| 0.0875        | 62.9630  | 1700 | 0.0726          | 0.9907   | 5e-05         |
+| 0.165         | 66.6667  | 1800 | 0.0081          | 0.9953   | 5e-05         |
+| 0.0136        | 70.3704  | 1900 | 0.0636          | 0.9907   | 5e-05         |
+| 0.0541        | 74.0741  | 2000 | 0.0036          | 1.0      | 5e-05         |
+| 0.0202        | 77.7778  | 2100 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 81.4815  | 2200 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 85.1852  | 2300 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 88.8889  | 2400 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 92.5926  | 2500 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 96.2963  | 2600 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 100.0    | 2700 | 0.0000          | 1.0      | 1e-05         |
+| 0.0002        | 103.7037 | 2800 | 0.0000          | 1.0      | 1e-05         |
+| 0.0001        | 107.4074 | 2900 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 111.1111 | 3000 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 114.8148 | 3100 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 118.5185 | 3200 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 122.2222 | 3300 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 125.9259 | 3400 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 129.6296 | 3500 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 133.3333 | 3600 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 137.0370 | 3700 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 140.7407 | 3800 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 144.4444 | 3900 | 0.0000          | 1.0      | 1e-05         |
+| 0.0           | 148.1481 | 4000 | 0.0000          | 1.0      | 1e-05         |
+
+
+### Framework versions
+
+- Transformers 4.48.1
+- Pytorch 2.3.1.post300
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

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+oid sha256:2210c923ea8d7eba31e1e4d5ef453ae24ad6705137f24c65a8feec0dc183049b
 size 1476333888

preprocessor_config.json

@@ -0,0 +1,13 @@
+{
+  "apply_ocr": true,
+  "do_resize": true,
+  "image_processor_type": "LayoutLMv2ImageProcessor",
+  "ocr_lang": null,
+  "processor_class": "LayoutXLMProcessor",
+  "resample": 2,
+  "size": {
+    "height": 224,
+    "width": 224
+  },
+  "tesseract_config": ""
+}

runs/Jan27_14-35-31_default/events.out.tfevents.1737989435.default.13103.1

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-size 31260
+oid sha256:ddadd6864597691041157483ff8fcd30fd4cbb73846c07ffafa757dab5679415
+size 31614

tokenizer_config.json

@@ -63,6 +63,7 @@
     0
   ],
   "pad_token_label": -100,
+  "processor_class": "LayoutXLMProcessor",
   "sep_token": "</s>",
   "sep_token_box": [
     1000,