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---
library_name: transformers
base_model: openai/clip-vit-large-patch14-336
tags:
- generated_from_trainer
model-index:
- name: clip-finetuned-csu-p14-336-e3l57-l
results: []
---
<!-- 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. -->
# clip-finetuned-csu-p14-336-e3l57-l
This model is a fine-tuned version of [openai/clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5308
## 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-07
- 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: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.2705 | 0.0921 | 500 | 1.0681 |
| 0.2545 | 0.1842 | 1000 | 0.9444 |
| 0.234 | 0.2763 | 1500 | 0.8769 |
| 0.1539 | 0.3685 | 2000 | 0.8415 |
| 0.1766 | 0.4606 | 2500 | 0.7660 |
| 0.1679 | 0.5527 | 3000 | 0.7269 |
| 0.1104 | 0.6448 | 3500 | 0.7098 |
| 0.1367 | 0.7369 | 4000 | 0.6969 |
| 0.1129 | 0.8290 | 4500 | 0.6777 |
| 0.1125 | 0.9211 | 5000 | 0.6658 |
| 0.1071 | 1.0133 | 5500 | 0.6465 |
| 0.0553 | 1.1054 | 6000 | 0.6357 |
| 0.0729 | 1.1975 | 6500 | 0.6284 |
| 0.0476 | 1.2896 | 7000 | 0.6260 |
| 0.0756 | 1.3817 | 7500 | 0.6102 |
| 0.0797 | 1.4738 | 8000 | 0.6023 |
| 0.0536 | 1.5660 | 8500 | 0.5879 |
| 0.0784 | 1.6581 | 9000 | 0.5880 |
| 0.0703 | 1.7502 | 9500 | 0.5665 |
| 0.0551 | 1.8423 | 10000 | 0.5671 |
| 0.0852 | 1.9344 | 10500 | 0.5695 |
| 0.0546 | 2.0265 | 11000 | 0.5558 |
| 0.0369 | 2.1186 | 11500 | 0.5533 |
| 0.0205 | 2.2108 | 12000 | 0.5498 |
| 0.0673 | 2.3029 | 12500 | 0.5446 |
| 0.0509 | 2.3950 | 13000 | 0.5434 |
| 0.0447 | 2.4871 | 13500 | 0.5404 |
| 0.0246 | 2.5792 | 14000 | 0.5360 |
| 0.0395 | 2.6713 | 14500 | 0.5335 |
| 0.0436 | 2.7634 | 15000 | 0.5332 |
| 0.0398 | 2.8556 | 15500 | 0.5320 |
| 0.0427 | 2.9477 | 16000 | 0.5308 |
### Framework versions
- Transformers 4.45.0.dev0
- Pytorch 1.12.1
- Datasets 2.21.0
- Tokenizers 0.19.1
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