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---
license: apache-2.0
base_model: facebook/convnext-base-224-22k
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: idbwbase
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# idbwbase
This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-224-22k) on the indian_food_images dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0978
- Accuracy: 0.9741
## 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: 0.0002
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.373 | 1.0 | 4709 | 0.3002 | 0.8705 |
| 0.3244 | 2.0 | 9418 | 0.2262 | 0.9044 |
| 0.2801 | 3.0 | 14127 | 0.1987 | 0.9196 |
| 0.2366 | 4.0 | 18836 | 0.1788 | 0.9345 |
| 0.2051 | 5.0 | 23545 | 0.1463 | 0.9484 |
| 0.1764 | 6.0 | 28254 | 0.1202 | 0.9593 |
| 0.1595 | 7.0 | 32963 | 0.1243 | 0.9655 |
| 0.1359 | 8.0 | 37672 | 0.1188 | 0.9659 |
| 0.1231 | 9.0 | 42381 | 0.0978 | 0.9741 |
| 0.1162 | 10.0 | 47090 | 0.1001 | 0.9761 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
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