table-transformer-azure-dust-65

This model is a fine-tuned version of toobiza/MT-celestial-grass-58 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.1439
• eval_loss_ce: 0.0014
• eval_loss_bbox: 0.0818
• eval_cardinality_error: 1.0
• eval_giou: 92.6646
• eval_runtime: 26.1327
• eval_samples_per_second: 3.061
• eval_steps_per_second: 1.531
• epoch: 4.17
• step: 350

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: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Framework versions

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