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IC_ver4a_coco_swin_gpt2_1pc_1e
VK246/IC_ver4a_coco_swin_gpt2_1pc_1e
IC_ver4a_coco_swin_gpt2_1pc_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. --
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- Model type
- vision-encoder-decoder
- Access
- Public
- Created
- Jul 12, 2023
- Updated
- Jul 12, 2023
- SHA
- 8180d660
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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_ver4a_coco_swin_gpt2_1pc_1e
This model is a fine-tuned version of on the coco dataset. It achieves the following results on the evaluation set:
- Loss: 1.0910
- Rouge1: 29.7994
- Rouge2: 7.3652
- Rougel: 27.9817
- Rougelsum: 28.041
- Bleu: 2.5557
- Gen Len: 11.1124
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|---|
| 1.7489 | 0.14 | 50 | 1.2748 | 22.1874 | 2.634 | 21.043 | 21.059 | 0.0 | 11.1124 |
| 1.3067 | 0.28 | 100 | 1.1917 | 25.4818 | 4.8904 | 23.8981 | 23.981 | 2.9734 | 11.1124 |
| 1.2822 | 0.42 | 150 | 1.1982 | 24.3457 | 4.1568 | 22.512 | 22.528 | 0.0 | 11.1124 |
| 1.2584 | 0.56 | 200 | 1.1801 | 23.7424 | 3.9363 | 22.0734 | 22.0981 | 0.0 | 11.1124 |
| 1.2148 | 0.71 | 250 | 1.1412 | 25.134 | 5.0362 | 23.6681 | 23.7093 | 2.0303 | 11.1124 |
| 1.1806 | 0.85 | 300 | 1.1048 | 28.8206 | 7.4959 | 27.0534 | 27.1111 | 2.965 | 11.1124 |
| 1.2013 | 0.99 | 350 | 1.0911 | 29.6942 | 7.3408 | 27.8612 | 27.901 | 2.5222 | 11.1124 |
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 12, 2023
- Updated
- Jul 12, 2023