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
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Base model
apple/mobilevit-xx-small