Fine-tuned Construction Receipt Model
Browse files- README.md +17 -8
- model.safetensors +1 -1
- tokenizer.json +1 -3
- training_args.bin +2 -2
README.md
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This model is a fine-tuned version of [DanSarm/receipt-core-model](https://huggingface.co/DanSarm/receipt-core-model) 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:
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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 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 | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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This model is a fine-tuned version of [DanSarm/receipt-core-model](https://huggingface.co/DanSarm/receipt-core-model) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2568
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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: 0.0003
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- optimizer: Use 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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| 2.911 | 1.0 | 2 | 2.5178 |
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| 2.0298 | 2.0 | 4 | 2.0128 |
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| 1.7239 | 3.0 | 6 | 1.7704 |
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| 1.5708 | 4.0 | 8 | 1.6107 |
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| 1.4319 | 5.0 | 10 | 1.5010 |
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| 1.3463 | 6.0 | 12 | 1.4165 |
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| 1.262 | 7.0 | 14 | 1.3495 |
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| 1.2137 | 8.0 | 16 | 1.3015 |
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| 1.1761 | 9.0 | 18 | 1.2705 |
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| 1.1369 | 10.0 | 20 | 1.2568 |
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### Framework versions
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model.safetensors
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tokenizer.json
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"direction": "Right",
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training_args.bin
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