metadata
library_name: transformers
license: other
base_model: apple/mobilevit-xx-small
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: mobilevit-xx-small-FireRisk
results: []
mobilevit-xx-small-FireRisk
This model is a fine-tuned version of apple/mobilevit-xx-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9969
- Accuracy: 0.6119
- Precision: 0.5205
- Recall: 0.4804
- F1: 0.4757
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.1535 | 1.0 | 550 | 1.0990 | 0.5983 | 0.4529 | 0.4643 | 0.4518 |
| 1.1244 | 2.0 | 1100 | 1.0341 | 0.6075 | 0.5178 | 0.4768 | 0.4656 |
| 1.0729 | 3.0 | 1650 | 1.0131 | 0.6105 | 0.5131 | 0.4761 | 0.4686 |
| 1.0514 | 4.0 | 2200 | 1.0073 | 0.6099 | 0.5149 | 0.4799 | 0.4761 |
| 1.0221 | 5.0 | 2750 | 0.9969 | 0.6119 | 0.5205 | 0.4804 | 0.4757 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0