layoutlmv3-testCUSTOMds09_02

README.md

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+---
+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-testCUSTOMds09_02
+  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-testCUSTOMds09_02
+
+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: 0.0000
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
+- Accuracy: 1.0
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.25  | 100  | 0.0005          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 2.5   | 200  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 3.75  | 300  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 5.0   | 400  | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0185        | 6.25  | 500  | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0185        | 7.5   | 600  | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0185        | 8.75  | 700  | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0185        | 10.0  | 800  | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0185        | 11.25 | 900  | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0001        | 12.5  | 1000 | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

model.safetensors

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