layoutlmv3-finetuned-sroie

README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+license: cc-by-nc-sa-4.0
+base_model: microsoft/layoutlmv3-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: layoutlmv3-finetuned-sroie
+  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. -->
+
+# layoutlmv3-finetuned-sroie
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0742
+- Precision: 0.9472
+- Recall: 0.9668
+- F1: 0.9569
+- Accuracy: 0.9872
+
+## 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: 1e-05
+- train_batch_size: 5
+- eval_batch_size: 5
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 2500
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.9841  | 250  | 0.0544          | 0.9319    | 0.9592 | 0.9453 | 0.9836   |
+| 0.0813        | 3.9683  | 500  | 0.0607          | 0.9280    | 0.9683 | 0.9477 | 0.9844   |
+| 0.0813        | 5.9524  | 750  | 0.0530          | 0.9451    | 0.9589 | 0.9519 | 0.9854   |
+| 0.023         | 7.9365  | 1000 | 0.0562          | 0.9434    | 0.9643 | 0.9537 | 0.9863   |
+| 0.023         | 9.9206  | 1250 | 0.0613          | 0.9486    | 0.9614 | 0.9549 | 0.9867   |
+| 0.0128        | 11.9048 | 1500 | 0.0632          | 0.9510    | 0.9650 | 0.9579 | 0.9875   |
+| 0.0128        | 13.8889 | 1750 | 0.0705          | 0.9403    | 0.9670 | 0.9535 | 0.9862   |
+| 0.0073        | 15.8730 | 2000 | 0.0723          | 0.9485    | 0.9643 | 0.9563 | 0.9871   |
+| 0.0073        | 17.8571 | 2250 | 0.0728          | 0.9505    | 0.9653 | 0.9579 | 0.9875   |
+| 0.0054        | 19.8413 | 2500 | 0.0742          | 0.9472    | 0.9668 | 0.9569 | 0.9872   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0bfa011cad87d77d83c0f725a1d22298576355d1d811f45f721a3e0fea81e297
+oid sha256:d31b9cffb9faede27a1f569177a7bd2b8b53053ffa0728b3c5d0a1cea80ce17f
 size 501349380

runs/Oct09_03-10-39_3b26ec115ee7/events.out.tfevents.1728443448.3b26ec115ee7.645.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:334bfa8798b5c3fdb3575ea95345ab90cc08909b44111f3ac53932d7fefe92af
-size 10166
+oid sha256:67f1be2b93d507fa307e9c6ae299d9352321d93779e29b280d45ca85daee1674
+size 11675