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: 0.5888
- Accuracy: 0.825
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
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.9502 | 0.767 |
| 1.8035 | 2.0 | 500 | 0.6483 | 0.814 |
| 1.8035 | 3.0 | 750 | 0.5888 | 0.825 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.0+cu118
- Datasets 2.21.0
- Tokenizers 0.21.0