metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: yt-grader-model
results: []
yt-grader-model
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the yt-thumbnail-dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.4270
- Accuracy: 0.8431
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4166 | 1.0 | 442 | 0.4169 | 0.8079 |
| 0.2478 | 2.0 | 884 | 0.3685 | 0.8395 |
| 0.1407 | 3.0 | 1326 | 0.4270 | 0.8431 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3