---
license: other
tags:
- generated_from_trainer
model-index:
- name: tumore_test
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# tumore_test

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/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