Downloads · 30 days
6
24% of all-time downloads
vit-base-patch16-224-in21k-loHa
geshijoker/vit-base-patch16-224-in21k-loHa
vit-base-patch16-224-in21k-loHa is a machine learning model from geshijoker. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
25
Public
Repo size
5 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors5 MB · 100%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Sep 6, 2024
- Updated
- Sep 6, 2024
- SHA
- 152324de
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
vit-base-patch16-224-in21k-loHa
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on food101 dataset.
- trainable params: 1,257,317 || all params: 87,133,642 || trainable%: 1.4430
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.005
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.11.1
- Transformers 4.43.4
- Pytorch 2.2.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Sep 6, 2024
- Updated
- Sep 6, 2024