End of training

README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: model-2024-06-04
+  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. -->
+
+# model-2024-06-04
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4164
+- Precision: 0.6190
+- Recall: 0.8387
+- F1: 0.7123
+- Accuracy: 0.7907
+
+## 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        | 25.0  | 100  | 1.1670          | 0.5152    | 0.5484 | 0.5312 | 0.7442   |
+| No log        | 50.0  | 200  | 1.0020          | 0.5676    | 0.6774 | 0.6176 | 0.7791   |
+| No log        | 75.0  | 300  | 1.2200          | 0.6111    | 0.7097 | 0.6567 | 0.7791   |
+| No log        | 100.0 | 400  | 1.2976          | 0.6       | 0.7742 | 0.6761 | 0.7791   |
+| 0.4049        | 125.0 | 500  | 1.3549          | 0.6098    | 0.8065 | 0.6944 | 0.7791   |
+| 0.4049        | 150.0 | 600  | 1.2864          | 0.625     | 0.8065 | 0.7042 | 0.7907   |
+| 0.4049        | 175.0 | 700  | 1.2832          | 0.6486    | 0.7742 | 0.7059 | 0.8023   |
+| 0.4049        | 200.0 | 800  | 1.3822          | 0.625     | 0.8065 | 0.7042 | 0.7907   |
+| 0.4049        | 225.0 | 900  | 1.3862          | 0.6098    | 0.8065 | 0.6944 | 0.7907   |
+| 0.021         | 250.0 | 1000 | 1.4164          | 0.6190    | 0.8387 | 0.7123 | 0.7907   |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.13.3

runs/Jun04_14-09-36_925e67b7ee58/events.out.tfevents.1717510206.925e67b7ee58.1400.0

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