|
--- |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
widget: |
|
- src: >- |
|
https://huggingface.co/julenalvaro/cat_vs_dogs_vit_model/blob/main/dog.png |
|
example_title: dog |
|
- src: >- |
|
https://huggingface.co/julenalvaro/cat_vs_dogs_vit_model/blob/main/dog.png |
|
example_title: cat |
|
|
|
model-index: |
|
- name: cat_vs_dogs_vit_model |
|
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. --> |
|
|
|
# cat_vs_dogs_vit_model |
|
|
|
This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6518 |
|
- Accuracy: 0.6095 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.771 | 0.5 | 500 | 0.6933 | 0.4995 | |
|
| 0.6967 | 1.0 | 1000 | 0.6882 | 0.556 | |
|
| 0.695 | 1.5 | 1500 | 0.6728 | 0.581 | |
|
| 0.6733 | 2.0 | 2000 | 0.6950 | 0.5915 | |
|
| 0.6768 | 2.5 | 2500 | 0.6694 | 0.5855 | |
|
| 0.6639 | 3.0 | 3000 | 0.6829 | 0.5795 | |
|
| 0.652 | 3.5 | 3500 | 0.6637 | 0.5925 | |
|
| 0.642 | 4.0 | 4000 | 0.6518 | 0.6095 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.13.0+cu116 |
|
- Datasets 2.8.0 |
|
- Tokenizers 0.13.2 |
|
|
