|
--- |
|
license: apache-2.0 |
|
base_model: facebook/convnextv2-base-1k-224 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: convnextv2_base_food101 |
|
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. --> |
|
|
|
# convnextv2_base_food101 |
|
|
|
This model is a fine-tuned version of [facebook/convnextv2-base-1k-224](https://huggingface.co/facebook/convnextv2-base-1k-224) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8168 |
|
- Accuracy: 0.879 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 2.7312 | 0.99 | 62 | 2.5255 | 0.67 | |
|
| 1.5322 | 2.0 | 125 | 1.4561 | 0.801 | |
|
| 1.0416 | 2.99 | 187 | 1.0503 | 0.846 | |
|
| 0.8151 | 4.0 | 250 | 0.8770 | 0.8675 | |
|
| 0.7454 | 4.96 | 310 | 0.8168 | 0.879 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.2.1 |
|
- Datasets 2.17.1 |
|
- Tokenizers 0.15.2 |
|
|
