|
--- |
|
license: apache-2.0 |
|
base_model: facebook/dinov2-giant |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- imagefolder |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: dino_finetuned_giant_10_layers_thawed |
|
results: |
|
- task: |
|
name: Image Classification |
|
type: image-classification |
|
dataset: |
|
name: imagefolder |
|
type: imagefolder |
|
config: default |
|
split: test |
|
args: default |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.7361218408564176 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# dino_finetuned_giant_10_layers_thawed |
|
|
|
This model is a fine-tuned version of [facebook/dinov2-giant](https://huggingface.co/facebook/dinov2-giant) on the imagefolder dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0387 |
|
- Accuracy: 0.7361 |
|
|
|
## 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: 54 |
|
- eval_batch_size: 54 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 216 |
|
- 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:--------:| |
|
| 3.3778 | 0.3145 | 25 | 2.5161 | 0.3373 | |
|
| 2.0106 | 0.6289 | 50 | 1.8874 | 0.4838 | |
|
| 1.9 | 0.9434 | 75 | 1.6407 | 0.5441 | |
|
| 1.2966 | 1.2579 | 100 | 1.4907 | 0.5930 | |
|
| 1.3413 | 1.5723 | 125 | 1.3532 | 0.6358 | |
|
| 1.2871 | 1.8868 | 150 | 1.2731 | 0.6547 | |
|
| 0.7792 | 2.2013 | 175 | 1.1967 | 0.6875 | |
|
| 0.7153 | 2.5157 | 200 | 1.1761 | 0.6966 | |
|
| 0.7544 | 2.8302 | 225 | 1.1136 | 0.7096 | |
|
| 0.465 | 3.1447 | 250 | 1.0962 | 0.7187 | |
|
| 0.414 | 3.4591 | 275 | 1.0997 | 0.7274 | |
|
| 0.4749 | 3.7736 | 300 | 1.0717 | 0.7291 | |
|
| 0.4742 | 4.0881 | 325 | 1.0425 | 0.7323 | |
|
| 0.3448 | 4.4025 | 350 | 1.0402 | 0.7392 | |
|
| 0.3341 | 4.7170 | 375 | 1.0387 | 0.7361 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
|
|
