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--- |
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library_name: transformers |
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license: mit |
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base_model: microsoft/table-transformer-structure-recognition-v1.1-all |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: detr_finetuned_cppe5 |
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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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# detr_finetuned_cppe5 |
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This model is a fine-tuned version of [microsoft/table-transformer-structure-recognition-v1.1-all](https://huggingface.co/microsoft/table-transformer-structure-recognition-v1.1-all) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 3.3083 |
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- eval_map: 0.0584 |
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- eval_map_50: 0.1515 |
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- eval_map_75: 0.0479 |
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- eval_map_small: -1.0 |
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- eval_map_medium: 0.007 |
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- eval_map_large: 0.0646 |
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- eval_mar_1: 0.0746 |
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- eval_mar_10: 0.115 |
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- eval_mar_100: 0.1545 |
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- eval_mar_small: -1.0 |
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- eval_mar_medium: 0.0439 |
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- eval_mar_large: 0.1653 |
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- eval_map_table: 0.2451 |
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- eval_mar_100_table: 0.2882 |
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- eval_map_table column: 0.0237 |
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- eval_mar_100_table column: 0.1297 |
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- eval_map_table column header: 0.0245 |
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- eval_mar_100_table column header: 0.1224 |
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- eval_map_table projected row header: 0.0003 |
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- eval_mar_100_table projected row header: 0.0125 |
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- eval_map_table row: 0.0254 |
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- eval_mar_100_table row: 0.235 |
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- eval_map_table spanning cell: 0.0311 |
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- eval_mar_100_table spanning cell: 0.1393 |
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- eval_runtime: 80.5383 |
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- eval_samples_per_second: 0.633 |
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- eval_steps_per_second: 0.087 |
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- epoch: 1.0 |
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- step: 22 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- num_epochs: 10 |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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