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trainer_output
NekoJar/trainer_output
trainer_output is a image classification model from NekoJar. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- May 7, 2025
- Updated
- May 22, 2025
- SHA
- e54e1402
Base models
Datasets
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. -->
trainer_output
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.4766
- Accuracy: 0.5127
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: 3e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 1024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.9670 | 22 | 2.0708 | 0.1449 |
| No log | 1.9670 | 44 | 2.0653 | 0.1663 |
| 2.0961 | 2.9670 | 66 | 2.0564 | 0.1931 |
| 2.0961 | 3.9670 | 88 | 2.0423 | 0.2350 |
| 2.0586 | 4.9670 | 110 | 2.0171 | 0.2823 |
| 2.0586 | 5.9670 | 132 | 1.9638 | 0.3305 |
| 1.9128 | 6.9670 | 154 | 1.8130 | 0.3968 |
| 1.9128 | 7.9670 | 176 | 1.6647 | 0.4278 |
| 1.9128 | 8.9670 | 198 | 1.5676 | 0.4844 |
| 1.6466 | 9.9670 | 220 | 1.4766 | 0.5127 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- May 7, 2025
- Updated
- May 22, 2025