tblstructrecog_tuned_tbltransstrucrecog_noncomplex_complex_conlash_b5_1807s_lr1e6_dec1e5_bs4

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tblstructrecog_tuned_tbltransstrucrecog_noncomplex_complex_conlash_b5_1807s_lr1e6_dec1e5_bs4

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: 1e-06
• train_batch_size: 4
• 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

Framework versions

• Transformers 4.41.0.dev0
• Pytorch 2.0.1
• Datasets 2.18.0
• Tokenizers 0.19.1