Hugging Face's logo

jerlawson13
/
vit-base-gpu

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
vit-base-gpu / README.md
jerlawson13's picture
jerlawson13
Model save
ba14030 verified
preview code
|
raw
history blame
No virus
1.42 kB
metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - generated_from_trainer
model-index:
  - name: vit-base-gpu
    results: []

vit-base-gpu

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1081

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 285
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.1209 1.7544 100 0.1553
0.0911 3.5088 200 0.1081

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1
  • Datasets 2.20.0
  • Tokenizers 0.19.1