End of training
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README.md
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---
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license: cc-by-nc-sa-4.0
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: model-2024-06-05
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# model-2024-06-05
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This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8504
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- Precision: 0.6964
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- Recall: 0.6796
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- F1: 0.6879
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- Accuracy: 0.8359
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.64 | 100 | 1.3300 | 0.4057 | 0.1315 | 0.1986 | 0.6875 |
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| No log | 3.28 | 200 | 0.8812 | 0.5862 | 0.5352 | 0.5595 | 0.8030 |
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| No log | 4.92 | 300 | 0.7719 | 0.6213 | 0.6167 | 0.6190 | 0.8170 |
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| No log | 6.56 | 400 | 0.7689 | 0.6732 | 0.6407 | 0.6565 | 0.8304 |
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| 0.9396 | 8.2 | 500 | 0.7708 | 0.6712 | 0.6426 | 0.6566 | 0.8249 |
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| 0.9396 | 9.84 | 600 | 0.7916 | 0.6805 | 0.6704 | 0.6754 | 0.8298 |
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| 0.9396 | 11.48 | 700 | 0.7731 | 0.6952 | 0.6926 | 0.6939 | 0.8377 |
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| 0.9396 | 13.11 | 800 | 0.8129 | 0.6923 | 0.6667 | 0.6792 | 0.8347 |
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| 0.9396 | 14.75 | 900 | 0.8464 | 0.6963 | 0.6667 | 0.6812 | 0.8328 |
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| 0.2643 | 16.39 | 1000 | 0.8504 | 0.6964 | 0.6796 | 0.6879 | 0.8359 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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- Tokenizers 0.13.3
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runs/Jun04_22-08-00_1814d79fd708/events.out.tfevents.1717538923.1814d79fd708.2597.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:35c28d9096f8829efd0d4cbd445060993be59e9a2737620facb546e7d312b18d
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size 16972
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