metadata
library_name: transformers
license: apache-2.0
base_model: facebook/deit-tiny-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: deit-tiny-patch16-224-FireRisk
results: []
deit-tiny-patch16-224-FireRisk
This model is a fine-tuned version of facebook/deit-tiny-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9674
- Accuracy: 0.6225
- Precision: 0.5196
- Recall: 0.5188
- F1: 0.5181
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: 512
- eval_batch_size: 512
- 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 |
|---|---|---|---|---|---|---|---|
| 1.0629 | 1.0 | 138 | 1.0164 | 0.5956 | 0.5031 | 0.4563 | 0.4436 |
| 1.0186 | 2.0 | 276 | 1.0379 | 0.5866 | 0.4789 | 0.4931 | 0.4796 |
| 0.9796 | 3.0 | 414 | 0.9674 | 0.6225 | 0.5196 | 0.5188 | 0.5181 |
| 0.9739 | 4.0 | 552 | 0.9854 | 0.6101 | 0.5081 | 0.4931 | 0.4942 |
| 0.9154 | 5.0 | 690 | 0.9508 | 0.6217 | 0.5172 | 0.5066 | 0.5096 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0