inspectionx_finetuned

• Loss: 3.5972
• Map: 0.0
• Map 50: 0.0
• Map 75: 0.0
• Map Small: 0.0
• Map Medium: 0.0
• Map Large: 0.0
• Mar 1: 0.0
• Mar 10: 0.0002
• Mar 100: 0.0027
• Mar Small: 0.0
• Mar Medium: 0.0017
• Mar Large: 0.0042
• Map Cut: 0.0
• Mar 100 Cut: 0.0
• Map Hole: 0.0
• Mar 100 Hole: 0.0
• Map Stain: 0.0
• Mar 100 Stain: 0.0109
• Map Threaderror: 0.0
• Mar 100 Threaderror: 0.0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 0.001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 5

Training results

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 2.14.4
• Tokenizers 0.21.1