Layout-finetuned-fr-model-50instances20-100epochs-5e-05lr-GPU
This model is a fine-tuned version of microsoft/layoutxlm-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0000
- eval_accuracy: 1.0
- eval_learning_rate: 5e-05
- eval_runtime: 2.1747
- eval_samples_per_second: 9.197
- eval_steps_per_second: 1.38
- epoch: 47.6923
- step: 620
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-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 100
Framework versions
- Transformers 4.48.0
- Pytorch 2.3.1.post300
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for AntonioTH/Layout-finetuned-fr-model-50instances20-100epochs-5e-05lr-GPU
Base model
microsoft/layoutxlm-base