metadata

library_name: transformers
license: other
base_model: apple/mobilevit-xx-small
tags:
  - generated_from_trainer
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:

eval_loss: 0.9814
eval_accuracy: 0.6146
eval_precision: 0.5070
eval_recall: 0.4671
eval_f1: 0.4675
eval_runtime: 164.589
eval_samples_per_second: 130.878
eval_steps_per_second: 1.027
epoch: 1.0
step: 550

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

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0