File size: 3,042 Bytes
5a13010 7b0965b 5a13010 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 |
---
library_name: transformers
base_model: openai/clip-vit-large-patch14-336
tags:
- generated_from_trainer
model-index:
- name: clip-finetuned-csu-p14-336-e3l55-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-e3l55-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: 1.9056
## 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: 8.810707926567202e-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 |
|:-------------:|:------:|:-----:|:---------------:|
| 0.7336 | 0.0921 | 500 | 2.0781 |
| 0.6953 | 0.1842 | 1000 | 2.0783 |
| 0.6953 | 0.2763 | 1500 | 2.0777 |
| 0.6932 | 0.3684 | 2000 | 2.0722 |
| 0.6907 | 0.4605 | 2500 | 2.0792 |
| 0.7043 | 0.5526 | 3000 | 2.0205 |
| 0.7078 | 0.6447 | 3500 | 2.1256 |
| 0.7034 | 0.7368 | 4000 | 2.0000 |
| 0.6671 | 0.8289 | 4500 | 2.1608 |
| 0.6899 | 0.9210 | 5000 | 2.0940 |
| 0.6649 | 1.0131 | 5500 | 1.9776 |
| 0.6748 | 1.1052 | 6000 | 1.9852 |
| 0.6456 | 1.1973 | 6500 | 1.9981 |
| 0.6514 | 1.2894 | 7000 | 1.9637 |
| 0.6179 | 1.3815 | 7500 | 2.0034 |
| 0.6561 | 1.4736 | 8000 | 2.2865 |
| 0.6328 | 1.5657 | 8500 | 2.4808 |
| 0.7053 | 1.6578 | 9000 | 2.1610 |
| 0.6533 | 1.7499 | 9500 | 1.9845 |
| 0.6594 | 1.8420 | 10000 | 1.9895 |
| 0.6597 | 1.9341 | 10500 | 2.0103 |
| 0.6435 | 2.0262 | 11000 | 2.0589 |
| 0.6404 | 2.1183 | 11500 | 2.0517 |
| 0.6348 | 2.2104 | 12000 | 1.9749 |
| 0.6545 | 2.3024 | 12500 | 1.9681 |
| 0.6323 | 2.3945 | 13000 | 1.9056 |
| 0.6045 | 2.4866 | 13500 | 1.9470 |
| 0.6492 | 2.5787 | 14000 | 2.0177 |
| 0.6512 | 2.6708 | 14500 | 1.9483 |
| 0.6382 | 2.7629 | 15000 | 1.9499 |
| 0.6203 | 2.8550 | 15500 | 1.9529 |
| 0.6241 | 2.9471 | 16000 | 1.9817 |
### Framework versions
- Transformers 4.45.0.dev0
- Pytorch 1.12.1
- Datasets 2.21.0
- Tokenizers 0.19.1
|