table-transformer-fiery-silence-39

README.md

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+---
+license: mit
+base_model: microsoft/table-transformer-detection
+tags:
+- generated_from_trainer
+model-index:
+- name: table-transformer-fiery-silence-39
+  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. -->
+
+# table-transformer-fiery-silence-39
+
+This model is a fine-tuned version of [microsoft/table-transformer-detection](https://huggingface.co/microsoft/table-transformer-detection) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1709
+
+## 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: 5e-06
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.0833        | 1.0   | 125  | 0.1725          |
+| 0.0803        | 2.0   | 250  | 0.1700          |
+| 0.0746        | 3.0   | 375  | 0.1703          |
+| 0.072         | 4.0   | 500  | 0.1720          |
+| 0.0691        | 5.0   | 625  | 0.1733          |
+| 0.0676        | 6.0   | 750  | 0.1698          |
+| 0.0661        | 7.0   | 875  | 0.1712          |
+| 0.0634        | 8.0   | 1000 | 0.1713          |
+| 0.0624        | 9.0   | 1125 | 0.1722          |
+| 0.0654        | 10.0  | 1250 | 0.1709          |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3