End of training
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- training_args.bin +2 -2
README.md
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This model is a fine-tuned version of [microsoft/table-structure-recognition-v1.1-all](https://huggingface.co/microsoft/table-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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- Loss:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-
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- train_batch_size:
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- eval_batch_size:
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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: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch
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### Framework versions
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This model is a fine-tuned version of [microsoft/table-structure-recognition-v1.1-all](https://huggingface.co/microsoft/table-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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- Loss: 2.2890
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-06
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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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: linear
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- num_epochs: 20
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 9.2523 | 1.0 | 14 | 9.3207 |
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| 7.9949 | 2.0 | 28 | 9.0533 |
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| 8.2292 | 3.0 | 42 | 8.6547 |
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| 7.1495 | 4.0 | 56 | 8.0844 |
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| 6.9055 | 5.0 | 70 | 7.3339 |
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| 7.0771 | 6.0 | 84 | 7.2344 |
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| 5.6554 | 7.0 | 98 | 6.6026 |
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| 5.5633 | 8.0 | 112 | 6.3610 |
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| 4.9506 | 9.0 | 126 | 5.9567 |
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| 4.0856 | 10.0 | 140 | 5.9191 |
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| 4.4286 | 11.0 | 154 | 5.6374 |
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| 2.9043 | 12.0 | 168 | 4.9525 |
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| 3.4755 | 13.0 | 182 | 4.6846 |
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| 3.4152 | 14.0 | 196 | 4.3171 |
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| 2.8456 | 15.0 | 210 | 3.5661 |
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| 2.4149 | 16.0 | 224 | 3.6150 |
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| 1.9328 | 17.0 | 238 | 3.2264 |
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| 1.8503 | 18.0 | 252 | 2.8540 |
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| 1.596 | 18.5981 | 260 | 2.2890 |
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### Framework versions
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model.safetensors
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size 115437156
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size
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