transformers tf segformer generated_from_keras_callback base_model:nvidia/mit-b0 license:other endpoints_compatible region:us
---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_keras_callback
model-index:
- name: Lit4pCol4b/mit-b0_demo_ds_hf_hub_segformer_fine_tuned_ADE20k_format_rgb_crudo_oi_IS_v1
  results: []
---

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# Lit4pCol4b/mit-b0_demo_ds_hf_hub_segformer_fine_tuned_ADE20k_format_rgb_crudo_oi_IS_v1

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:
- Train Loss: 0.2976
- Validation Loss: 0.3924
- Validation Mean Iou: 0.5663
- Validation Mean Accuracy: 0.7347
- Validation Overall Accuracy: 0.9223
- Validation Accuracy Unlabeled: 0.3383
- Validation Accuracy Objeto Interes: 0.9153
- Validation Accuracy Agua: 0.9504
- Validation Iou Unlabeled: 0.2334
- Validation Iou Objeto Interes: 0.5316
- Validation Iou Agua: 0.9338
- Epoch: 9

## 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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 6e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Unlabeled | Validation Accuracy Objeto Interes | Validation Accuracy Agua | Validation Iou Unlabeled | Validation Iou Objeto Interes | Validation Iou Agua | Epoch |
|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:-----------------------------:|:----------------------------------:|:------------------------:|:------------------------:|:-----------------------------:|:-------------------:|:-----:|
| 1.2512     | 0.9233          | 0.4047              | 0.5973                   | 0.8489                      | 0.0968                        | 0.8078                             | 0.8872                   | 0.0654                   | 0.2805                        | 0.8682              | 0     |
| 0.8371     | 1.0295          | 0.4048              | 0.6089                   | 0.8534                      | 0.0638                        | 0.8733                             | 0.8895                   | 0.0512                   | 0.2908                        | 0.8723              | 1     |
| 0.6480     | 0.6370          | 0.4495              | 0.5961                   | 0.9036                      | 0.0345                        | 0.8025                             | 0.9514                   | 0.0312                   | 0.3989                        | 0.9185              | 2     |
| 0.5127     | 0.5572          | 0.4875              | 0.6258                   | 0.9122                      | 0.1081                        | 0.8124                             | 0.9569                   | 0.0903                   | 0.4474                        | 0.9248              | 3     |
| 0.4633     | 0.5789          | 0.4894              | 0.6641                   | 0.9021                      | 0.1628                        | 0.8917                             | 0.9378                   | 0.1287                   | 0.4235                        | 0.9160              | 4     |
| 0.4243     | 0.4436          | 0.4995              | 0.6035                   | 0.9229                      | 0.0980                        | 0.7384                             | 0.9741                   | 0.0884                   | 0.4779                        | 0.9322              | 5     |
| 0.3490     | 0.3797          | 0.5573              | 0.6767                   | 0.9274                      | 0.2565                        | 0.8065                             | 0.9671                   | 0.1901                   | 0.5454                        | 0.9364              | 6     |
| 0.3176     | 0.4032          | 0.5756              | 0.7281                   | 0.9240                      | 0.3756                        | 0.8543                             | 0.9545                   | 0.2441                   | 0.5493                        | 0.9334              | 7     |
| 0.3020     | 0.2447          | 0.5747              | 0.6473                   | 0.9351                      | 0.2860                        | 0.6728                             | 0.9831                   | 0.2237                   | 0.5605                        | 0.9399              | 8     |
| 0.2976     | 0.3924          | 0.5663              | 0.7347                   | 0.9223                      | 0.3383                        | 0.9153                             | 0.9504                   | 0.2334                   | 0.5316                        | 0.9338              | 9     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0
