metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test2
results: []
test2
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: 0.8384
- Accuracy: 0.75
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 1.1029 | 0.125 |
| No log | 2.0 | 2 | 1.0384 | 0.625 |
| No log | 3.0 | 3 | 0.9989 | 0.75 |
| No log | 4.0 | 4 | 0.9557 | 0.75 |
| No log | 5.0 | 5 | 0.8941 | 0.75 |
| No log | 6.0 | 6 | 0.8952 | 0.75 |
| No log | 7.0 | 7 | 0.8669 | 0.75 |
| No log | 8.0 | 8 | 0.8705 | 0.75 |
| No log | 9.0 | 9 | 0.8357 | 0.75 |
| 0.4538 | 10.0 | 10 | 0.8384 | 0.75 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1