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nepali_caption_model_output
raku10-ghimire/nepali_caption_model_output
nepali_caption_model_output is a image-text-to-text model from raku10-ghimire. 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. --
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- bsd-3-clause
- Model type
- blip
- Access
- Public
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026
- SHA
- 84c68890
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Base models
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. -->
nepali_caption_model_output
This model is a fine-tuned version of Salesforce/blip-image-captioning-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5684
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: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0445 | 1.0 | 450 | 1.0425 |
| 1.0711 | 2.0 | 900 | 0.9059 |
| 0.8319 | 3.0 | 1350 | 0.8620 |
| 0.6918 | 4.0 | 1800 | 0.8389 |
| 0.6192 | 5.0 | 2250 | 0.8225 |
| 0.4972 | 6.0 | 2700 | 0.8493 |
| 0.4747 | 7.0 | 3150 | 0.9033 |
| 0.3015 | 8.0 | 3600 | 0.9647 |
| 0.2784 | 9.0 | 4050 | 1.0026 |
| 0.2438 | 10.0 | 4500 | 1.0574 |
| 0.1858 | 11.0 | 4950 | 1.1057 |
| 0.1774 | 12.0 | 5400 | 1.1493 |
| 0.1633 | 13.0 | 5850 | 1.1878 |
| 0.1348 | 14.0 | 6300 | 1.2216 |
| 0.1203 | 15.0 | 6750 | 1.2924 |
| 0.1047 | 16.0 | 7200 | 1.2917 |
| 0.0939 | 17.0 | 7650 | 1.3597 |
| 0.0796 | 18.0 | 8100 | 1.3927 |
| 0.0640 | 19.0 | 8550 | 1.4168 |
| 0.0510 | 20.0 | 9000 | 1.4512 |
| 0.0386 | 21.0 | 9450 | 1.4840 |
| 0.0339 | 22.0 | 9900 | 1.5199 |
| 0.0194 | 23.0 | 10350 | 1.5498 |
| 0.0137 | 24.0 | 10800 | 1.5665 |
| 0.0152 | 25.0 | 11250 | 1.5684 |
Framework versions
- Transformers 5.13.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- blip
- License
- bsd-3-clause
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026