metadata
library_name: transformers
base_model: openai/clip-vit-large-patch14
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clip-vit-large-patch14-finetuned-openai-clip-vit-large-patch14-mnist
results: []
clip-vit-large-patch14-finetuned-openai-clip-vit-large-patch14-mnist
This model is a fine-tuned version of openai/clip-vit-large-patch14 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0258
- Accuracy: 0.9925
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|
| 0.5191 | 1.0 | 422 | 0.0737 | 0.9802 |
| 0.4218 | 2.0 | 844 | 0.0505 | 0.9845 |
| 0.3987 | 3.0 | 1266 | 0.0497 | 0.9853 |
| 0.3776 | 4.0 | 1688 | 0.0466 | 0.985 |
| 0.3244 | 5.0 | 2110 | 0.0366 | 0.9897 |
| 0.3269 | 6.0 | 2532 | 0.0491 | 0.9867 |
| 0.3072 | 7.0 | 2954 | 0.0375 | 0.9885 |
| 0.2343 | 8.0 | 3376 | 0.0339 | 0.9908 |
| 0.2395 | 9.0 | 3798 | 0.0274 | 0.9912 |
| 0.222 | 10.0 | 4220 | 0.0258 | 0.9925 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1