---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_keras_callback
model-index:
- name: segformer_400train80val_subset_10epochs
  results: []
---

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

# segformer_400train80val_subset_10epochs

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: 0.0838
- Validation Loss: 0.0902
- 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 | Epoch |
|:----------:|:---------------:|:-----:|
| 0.3830     | 0.2178          | 0     |
| 0.1680     | 0.2520          | 1     |
| 0.1641     | 0.1378          | 2     |
| 0.1141     | 0.1192          | 3     |
| 0.1130     | 0.0994          | 4     |
| 0.0945     | 0.0984          | 5     |
| 0.0863     | 0.0950          | 6     |
| 0.0874     | 0.0905          | 7     |
| 0.0858     | 0.0918          | 8     |
| 0.0838     | 0.0902          | 9     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Tokenizers 0.15.2