---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_trainer
model-index:
- name: image_segmentation_text_v2
  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. -->

# image_segmentation_text_v2

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0079
- eval_mean_iou: 1.0
- eval_mean_accuracy: 1.0
- eval_overall_accuracy: 1.0
- eval_per_category_iou: [1.0]
- eval_per_category_accuracy: [1.0]
- eval_runtime: 58.744
- eval_samples_per_second: 0.851
- eval_steps_per_second: 0.426
- epoch: 1.6
- step: 80

## 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: 5

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0