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llama-32-11b-vision_model_output22
aruboi/llama-32-11b-vision_model_output22
llama-32-11b-vision_model_output22 is a image-text-to-text model from aruboi. 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 llama3.2.
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
- llama3.2
- Model type
- mllama
- Access
- Public
- Created
- Sep 4, 2025
- Updated
- Sep 5, 2025
- SHA
- ef1f5466
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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. -->
llama-32-11b-vision_model_output22
This model is a fine-tuned version of meta-llama/Llama-3.2-11B-Vision on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5545
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3164 | 0.0694 | 5 | 1.3101 |
| 0.949 | 0.1389 | 10 | 1.3269 |
| 1.2146 | 0.2083 | 15 | 1.2872 |
| 1.1873 | 0.2778 | 20 | 1.2523 |
| 1.0953 | 0.3472 | 25 | 1.2493 |
| 0.786 | 0.4167 | 30 | 1.2503 |
| 1.2206 | 0.4861 | 35 | 1.2416 |
| 1.1274 | 0.5556 | 40 | 1.2249 |
| 0.9839 | 0.625 | 45 | 1.1276 |
| 1.2363 | 0.6944 | 50 | 0.9029 |
| 1.1686 | 0.7639 | 55 | 0.8469 |
| 1.1577 | 0.8333 | 60 | 0.8087 |
| 0.6341 | 0.9028 | 65 | 0.7726 |
| 1.2096 | 0.9722 | 70 | 0.7688 |
| 0.3772 | 1.0417 | 75 | 0.7799 |
| 0.7109 | 1.1111 | 80 | 0.7550 |
| 0.5853 | 1.1806 | 85 | 0.7486 |
| 0.3914 | 1.25 | 90 | 0.7481 |
| 0.2028 | 1.3194 | 95 | 0.6593 |
| 0.4332 | 1.3889 | 100 | 0.6028 |
| 0.6432 | 1.4583 | 105 | 0.5718 |
| 0.534 | 1.5278 | 110 | 0.5591 |
| 0.5914 | 1.5972 | 115 | 0.5523 |
| 0.3437 | 1.6667 | 120 | 0.5474 |
| 0.4905 | 1.7361 | 125 | 0.5293 |
| 0.5633 | 1.8056 | 130 | 0.5293 |
| 0.2607 | 1.875 | 135 | 0.5446 |
| 0.745 | 1.9444 | 140 | 0.5545 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.7.0a0+7c8ec84dab.nv25.03
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- mllama
- License
- llama3.2
- Created
- Sep 4, 2025
- Updated
- Sep 5, 2025