metadata
library_name: transformers
base_model: AkremGomri/my_awesome_food_model
tags:
- trackio
- trackio:https://huggingface.co/spaces/AkremGomri/trackio
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hf_image_classification
results: []
hf_image_classification
This model is a fine-tuned version of AkremGomri/my_awesome_food_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8116
- Accuracy: 0.913
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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1734 | 1.0 | 63 | 1.1388 | 0.907 |
| 0.7969 | 2.0 | 126 | 0.8880 | 0.917 |
| 0.7487 | 3.0 | 189 | 0.8116 | 0.913 |
Framework versions
- Transformers 5.1.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2