vit-msn-small-finetuned-custom-logo
This model is a fine-tuned version of facebook/vit-msn-small on the imagefolder dataset. It achieves the following results on the evaluation set:
- eval_loss: 6.3923
- eval_model_preparation_time: 0.0035
- eval_accuracy: 0.0031
- eval_runtime: 9.5833
- eval_samples_per_second: 170.087
- eval_steps_per_second: 2.713
- step: 0
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Framework versions
- Transformers 4.46.2
- Pytorch 2.4.1+cu121
- Datasets 2.20.0
- Tokenizers 0.20.3
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Base model
facebook/vit-msn-small