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layoutlmv3_document_classification

Text Classification
Transformers
Safetensors
layoutlmv3
Generated from Trainer
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End of training

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  1. README.md +20 -10
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -4,6 +4,9 @@ license: cc-by-nc-sa-4.0
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  base_model: microsoft/layoutlmv3-base
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  tags:
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  - generated_from_trainer
 
 
 
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  model-index:
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  - name: layoutlmv3_document_classification
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  results: []
@@ -16,14 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.6162
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- - eval_accuracy: 0.8695
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- - eval_f1: 0.8611
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- - eval_runtime: 88.0775
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- - eval_samples_per_second: 24.887
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- - eval_steps_per_second: 1.045
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- - epoch: 4.5
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- - step: 1647
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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: 3e-05
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  - train_batch_size: 24
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  - eval_batch_size: 24
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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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  - lr_scheduler_warmup_ratio: 0.06
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- - num_epochs: 7
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.50.0
 
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  base_model: microsoft/layoutlmv3-base
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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  model-index:
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  - name: layoutlmv3_document_classification
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  results: []
 
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  This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6107
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+ - Accuracy: 0.8859
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+ - F1: 0.8805
 
 
 
 
 
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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-05
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  - train_batch_size: 24
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  - eval_batch_size: 24
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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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  - lr_scheduler_warmup_ratio: 0.06
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+ - num_epochs: 3
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.2618 | 0.5 | 183 | 0.6160 | 0.8727 | 0.8669 |
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+ | 0.2567 | 1.0 | 366 | 0.6154 | 0.8768 | 0.8695 |
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+ | 0.2371 | 1.5 | 549 | 0.6250 | 0.875 | 0.8694 |
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+ | 0.1975 | 2.0 | 732 | 0.6183 | 0.8823 | 0.8772 |
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+ | 0.1882 | 2.5 | 915 | 0.6142 | 0.8837 | 0.8783 |
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+ | 0.1846 | 3.0 | 1098 | 0.6107 | 0.8859 | 0.8805 |
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+
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+
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  ### Framework versions
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  - Transformers 4.50.0
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