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ViT-RadBert_Mimic
ChayanM/ViT-RadBert_Mimic
ViT-RadBert_Mimic is a image-text-to-text model from ChayanM. 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
- Mar 19, 2024
- Updated
- Apr 4, 2024
- SHA
- 7054beec
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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. -->
ViT-RadBert_Mimic
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7877
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 20.0
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.2467 | 1.0 | 1750 | 0.2455 | 15.3883 | 0.0 | 15.4185 | 15.4293 | 12.065 |
| 0.2303 | 2.0 | 3500 | 0.2513 | 13.5368 | 0.0 | 13.5094 | 13.4921 | 14.028 |
| 0.233 | 3.0 | 5250 | 0.2487 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| 0.2317 | 4.0 | 7000 | 0.2515 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| 0.229 | 5.0 | 8750 | 0.2563 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| 0.2334 | 6.0 | 10500 | 0.5032 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| 0.216 | 7.0 | 12250 | 0.6445 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| 0.2154 | 8.0 | 14000 | 0.7287 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| 0.2065 | 9.0 | 15750 | 0.7666 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| 0.206 | 10.0 | 17500 | 0.6641 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| 0.2014 | 11.0 | 19250 | 0.7032 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| 0.1784 | 12.0 | 21000 | 0.7845 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| 0.1854 | 13.0 | 22750 | 0.8179 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| 0.1801 | 14.0 | 24500 | 0.7788 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| 0.1743 | 15.0 | 26250 | 0.7877 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
Framework versions
- Transformers 4.37.1
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.1
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- vision-encoder-decoder
- Created
- Mar 19, 2024
- Updated
- Apr 4, 2024