Downloads · 30 days
5
14% of all-time downloads
blip-image-captioning-large-shyam-shyam
shyamgv/blip-image-captioning-large-shyam-shyam
blip-image-captioning-large-shyam-shyam is a image-text-to-text model from shyamgv. 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. The card lists the license as bsd-3-clause.
should probably proofread and complete it, then remove this comment. --
All-time downloads
36
Public
Parameters
470M
9.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.9 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- bsd-3-clause
- Model type
- blip
- Access
- Public
- Created
- Oct 2, 2024
- Updated
- Oct 2, 2024
- SHA
- 0c61d279
Try a prompt
Base models
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. -->
blip-image-captioning-large-shyam-shyam
This model is a fine-tuned version of shyamgv/blip-image-captioning-large-shyam on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0044
- Wer Score: 0.1111
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 0.0104 | 2.9412 | 50 | 0.0041 | 0.1111 |
| 0.0025 | 5.8824 | 100 | 0.0049 | 0.1111 |
| 0.0003 | 8.8235 | 150 | 0.0056 | 0.1667 |
| 0.0002 | 11.7647 | 200 | 0.0045 | 0.1111 |
| 0.0001 | 14.7059 | 250 | 0.0044 | 0.1111 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- blip
- License
- bsd-3-clause
- Created
- Oct 2, 2024
- Updated
- Oct 2, 2024