metadata
library_name: transformers
license: mit
base_model: microsoft/table-transformer-structure-recognition-v1.1-all
tags:
- generated_from_trainer
model-index:
- name: table-transformer-structure-recognition-v1.1-all-finetuned
results: []
table-transformer-structure-recognition-v1.1-all-finetuned
This model is a fine-tuned version of microsoft/table-transformer-structure-recognition-v1.1-all on the None dataset.
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.48.2
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0