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IC_ver6a_coco_swin_gpt2_50Apc_1e
VK246/IC_ver6a_coco_swin_gpt2_50Apc_1e
IC_ver6a_coco_swin_gpt2_50Apc_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 13, 2023
- Updated
- Jul 13, 2023
- SHA
- 8088769d
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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_ver6a_coco_swin_gpt2_50Apc_1e
This model is a fine-tuned version of on the coco dataset. It achieves the following results on the evaluation set:
- Loss: 0.8477
- Rouge1: 40.2406
- Rouge2: 15.0629
- Rougel: 36.6294
- Rougelsum: 36.6164
- Bleu: 9.0728
- Gen Len: 11.2806
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: 96
- eval_batch_size: 96
- 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 |
|---|---|---|---|---|---|---|---|---|---|
| 1.1343 | 0.17 | 500 | 0.9708 | 35.1592 | 11.4248 | 32.3362 | 32.3316 | 6.404 | 11.2806 |
| 0.9606 | 0.34 | 1000 | 0.9123 | 37.9656 | 12.9721 | 34.5569 | 34.5606 | 7.489 | 11.2806 |
| 0.9286 | 0.51 | 1500 | 0.8828 | 38.7702 | 13.945 | 35.4661 | 35.4648 | 8.022 | 11.2806 |
| 0.8994 | 0.68 | 2000 | 0.8619 | 39.8572 | 14.6183 | 36.3345 | 36.3262 | 8.7008 | 11.2806 |
| 0.8843 | 0.85 | 2500 | 0.8525 | 39.8151 | 14.7431 | 36.3033 | 36.2918 | 8.8305 | 11.2806 |
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 13, 2023
- Updated
- Jul 13, 2023