MT-olive-glade-111

This model is a fine-tuned version of toobiza/MT-smart-feather-100 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.7205
• eval_loss_ce: 0.0008
• eval_loss_bbox: 0.0923
• eval_cardinality_error: 1.0
• eval_giou: 87.2702
• eval_runtime: 45.9717
• eval_samples_per_second: 2.415
• eval_steps_per_second: 0.609
• epoch: 0.11
• step: 50

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Framework versions

• Transformers 4.33.2
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.13.3