metadata
library_name: transformers
base_model: openai/clip-vit-large-patch14-336
tags:
- generated_from_trainer
model-index:
- name: clip-finetuned-csu-p14-336-e2l57-l
results: []
clip-finetuned-csu-p14-336-e2l57-l
This model is a fine-tuned version of openai/clip-vit-large-patch14-336 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0096
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: 128
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7207 | 0.0921 | 500 | 2.0785 |
| 0.702 | 0.1842 | 1000 | 2.0786 |
| 0.7058 | 0.2763 | 1500 | 2.0656 |
| 0.7117 | 0.3685 | 2000 | 2.1134 |
| 0.7163 | 0.4606 | 2500 | 2.0307 |
| 0.6794 | 0.5527 | 3000 | 2.6134 |
| 0.6818 | 0.6448 | 3500 | 2.0862 |
| 0.6693 | 0.7369 | 4000 | 2.0295 |
| 0.6798 | 0.8290 | 4500 | 2.1399 |
| 0.6915 | 0.9211 | 5000 | 2.0116 |
| 0.6623 | 1.0133 | 5500 | 2.1612 |
| 0.6803 | 1.1054 | 6000 | 2.0493 |
| 0.6729 | 1.1975 | 6500 | 2.0518 |
| 0.6851 | 1.2896 | 7000 | 2.0391 |
| 0.6686 | 1.3817 | 7500 | 2.0697 |
| 0.6637 | 1.4738 | 8000 | 2.0457 |
| 0.6331 | 1.5660 | 8500 | 2.1388 |
| 0.6529 | 1.6581 | 9000 | 2.0182 |
| 0.6377 | 1.7502 | 9500 | 2.0096 |
| 0.6207 | 1.8423 | 10000 | 2.0490 |
| 0.6626 | 1.9344 | 10500 | 2.0149 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 1.12.1
- Datasets 2.21.0
- Tokenizers 0.19.1