Downloads · 30 days
11
18% of all-time downloads
vlm-step2
harsh13333/vlm-step2
vlm-step2 is a feature extraction model from harsh13333. Use it when you need embeddings to search or compare text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
62
Public
Parameters
358M
1.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.4 GB · 97%
At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- gemma_clip_vlm
- Access
- Public
- Created
- Jan 26, 2026
- Updated
- Jan 26, 2026
- SHA
- c8a57dc7
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. -->
vlm-step2
This model is a fine-tuned version of harsh13333/gemma-270m-clip-vlm-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2240
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 11.6484 | 1.0 | 863 | 1.3250 |
| 10.641 | 2.0 | 1726 | 1.2484 |
| 9.9045 | 3.0 | 2589 | 1.2240 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Feature Extraction
- Library
- transformers
- Type
- gemma_clip_vlm
- Created
- Jan 26, 2026
- Updated
- Jan 26, 2026