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nepali_caption_model_output_25
mgr-gaurav/nepali_caption_model_output_25
nepali_caption_model_output_25 is a image-text-to-text model from mgr-gaurav. 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
- 22860cfd
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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_25
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: 1.2972
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: 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 |
|---|---|---|---|
| 1.2958 | 1.0 | 225 | 1.0108 |
| 1.0094 | 2.0 | 450 | 0.8830 |
| 0.8718 | 3.0 | 675 | 0.8173 |
| 0.7440 | 4.0 | 900 | 0.7839 |
| 0.6971 | 5.0 | 1125 | 0.7930 |
| 0.6160 | 6.0 | 1350 | 0.7889 |
| 0.5226 | 7.0 | 1575 | 0.8216 |
| 0.4363 | 8.0 | 1800 | 0.8534 |
| 0.3499 | 9.0 | 2025 | 0.8852 |
| 0.2907 | 10.0 | 2250 | 0.9386 |
| 0.2399 | 11.0 | 2475 | 0.9677 |
| 0.2000 | 12.0 | 2700 | 1.0079 |
| 0.1731 | 13.0 | 2925 | 1.0467 |
| 0.1538 | 14.0 | 3150 | 1.0645 |
| 0.1369 | 15.0 | 3375 | 1.0913 |
| 0.1218 | 16.0 | 3600 | 1.1158 |
| 0.1083 | 17.0 | 3825 | 1.1491 |
| 0.0960 | 18.0 | 4050 | 1.1737 |
| 0.0805 | 19.0 | 4275 | 1.1663 |
| 0.0695 | 20.0 | 4500 | 1.1948 |
| 0.0531 | 21.0 | 4725 | 1.2455 |
| 0.0380 | 22.0 | 4950 | 1.2512 |
| 0.0252 | 23.0 | 5175 | 1.2791 |
| 0.0199 | 24.0 | 5400 | 1.2940 |
| 0.0154 | 25.0 | 5625 | 1.2972 |
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