Downloads · 30 days
12
4% of all-time downloads
IC_ver2_coco_swin_gpt2_5pc_1e
VK246/IC_ver2_coco_swin_gpt2_5pc_1e
IC_ver2_coco_swin_gpt2_5pc_1e is a image-text-to-text model from VK246. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
293
Public
Repo size
5.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin962 MB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- Model type
- vision-encoder-decoder
- Access
- Public
- Created
- Jul 7, 2023
- Updated
- Jul 7, 2023
- SHA
- 5cb926c3
Try a prompt
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
IC_ver2_coco_swin_gpt2_5pc_1e
This model is a fine-tuned version of on the coco dataset. It achieves the following results on the evaluation set:
- Loss: 0.9972
- Rouge1: 34.8608
- Rouge2: 10.9857
- Rougel: 32.1905
- Rougelsum: 32.1794
- Bleu: 6.1162
- Gen Len: 11.2887
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
|---|---|---|---|---|---|---|---|---|---|
| 1.4995 | 0.23 | 100 | 1.1227 | 28.4179 | 5.9026 | 26.5601 | 26.5682 | 3.0237 | 11.2887 |
| 1.136 | 0.45 | 200 | 1.0506 | 31.4866 | 8.9504 | 29.1403 | 29.0996 | 4.2965 | 11.2887 |
| 1.0899 | 0.68 | 300 | 1.0203 | 33.9899 | 10.3576 | 31.6646 | 31.6435 | 5.5456 | 11.2887 |
| 1.057 | 0.9 | 400 | 0.9972 | 34.8608 | 10.9857 | 32.1905 | 32.1794 | 6.1162 | 11.2887 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- vision-encoder-decoder
- Created
- Jul 7, 2023
- Updated
- Jul 7, 2023