metadata
library_name: transformers
license: apache-2.0
base_model: timm/mobilenetv4_conv_small.e2400_r224_in1k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_food_model
results: []
my_awesome_food_model
This model is a fine-tuned version of timm/mobilenetv4_conv_small.e2400_r224_in1k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7294
- Accuracy: 0.818
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.8009 | 1.0 | 63 | 0.9982 | 0.791 |
| 3.8041 | 2.0 | 126 | 0.7726 | 0.82 |
| 3.5834 | 2.96 | 186 | 0.7294 | 0.818 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0