table-transformer-restful-salad-71

This model is a fine-tuned version of toobiza/table-transformer-spring-energy-46 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5430
• eval_loss_ce: 0.0000
• eval_loss_bbox: 0.0773
• eval_cardinality_error: 1.0
• eval_giou: 92.1861
• eval_runtime: 259.3258
• eval_samples_per_second: 2.63
• eval_steps_per_second: 1.315
• epoch: 1.0
• step: 500

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: 4
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3