End of training

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-finetuned-language-levels-v4
+  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-language-levels-v4
+
+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: 0.0013
+- 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        | 0.0290 | 100  | 0.0100          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 0.0579 | 200  | 0.0036          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 0.0869 | 300  | 0.0022          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 0.1158 | 400  | 0.0016          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0123        | 0.1448 | 500  | 0.0013          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0123        | 0.1738 | 600  | 0.0011          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0123        | 0.2027 | 700  | 0.0010          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0123        | 0.2317 | 800  | 0.0009          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0123        | 0.2606 | 900  | 0.0008          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0018        | 0.2896 | 1000 | 0.0008          | 1.0       | 1.0    | 1.0 | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.1.0+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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