|
--- |
|
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 |
|
|
