tumore_test

This model is a fine-tuned version of nvidia/mit-b0 on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0
• eval_mean_iou: nan
• eval_mean_accuracy: nan
• eval_overall_accuracy: nan
• eval_per_category_iou: [nan]
• eval_per_category_accuracy: [nan]
• eval_runtime: 338.6408
• eval_samples_per_second: 1.161
• eval_steps_per_second: 0.582
• epoch: 1.27
• step: 2000

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: 6e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.0
• Datasets 2.10.1
• Tokenizers 0.13.2