---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_keras_callback
model-index:
- name: sf_20240219_v1
  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. -->

# sf_20240219_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: 0.0640
- Validation Loss: 0.0852
- Epoch: 19

## 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 |
|:----------:|:---------------:|:-----:|
| 0.3507     | 0.2338          | 0     |
| 0.1528     | 0.1519          | 1     |
| 0.1186     | 0.1249          | 2     |
| 0.1038     | 0.1116          | 3     |
| 0.1008     | 0.0938          | 4     |
| 0.0907     | 0.0920          | 5     |
| 0.0936     | 0.1053          | 6     |
| 0.0898     | 0.0914          | 7     |
| 0.0843     | 0.0833          | 8     |
| 0.0795     | 0.0828          | 9     |
| 0.0779     | 0.0875          | 10    |
| 0.0750     | 0.0818          | 11    |
| 0.0729     | 0.0877          | 12    |
| 0.0723     | 0.0769          | 13    |
| 0.0709     | 0.0939          | 14    |
| 0.0722     | 0.0787          | 15    |
| 0.0692     | 0.0796          | 16    |
| 0.0663     | 0.0736          | 17    |
| 0.0651     | 0.0727          | 18    |
| 0.0640     | 0.0852          | 19    |


### Framework versions

- Transformers 4.37.0
- TensorFlow 2.15.0
- Datasets 2.1.0
- Tokenizers 0.15.1