metadata

license: mit
base_model: microsoft/table-transformer-structure-recognition
tags:
  - generated_from_trainer
model-index:
  - name: tblstructrecog_finetuned_tbltransstrucrecog_semicplx_v1_s1_226s
    results: []

tblstructrecog_finetuned_tbltransstrucrecog_semicplx_v1_s1_226s

This model is a fine-tuned version of microsoft/table-transformer-structure-recognition on an unknown 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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 750
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.0.1
Datasets 2.18.0
Tokenizers 0.19.1