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colnomic-embed-multimodal-7b
Oysiyl/colnomic-embed-multimodal-7b
colnomic-embed-multimodal-7b is a machine learning model from Oysiyl. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 19, 2025
- Updated
- May 19, 2025
- SHA
- e591e718
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. -->
colnomic-embed-multimodal-7b
This model is a fine-tuned version of nomic-ai/colqwen2.5-7B-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0840
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: 1
- eval_batch_size: 8
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 0.1636 | 320 | 0.0840 |
| 0.0 | 0.3272 | 640 | 0.0840 |
| 0.0 | 0.4908 | 960 | 0.0840 |
| 0.0 | 0.6544 | 1280 | 0.0840 |
| 0.0 | 0.8180 | 1600 | 0.0840 |
| 0.0 | 0.9816 | 1920 | 0.0840 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Created
- May 19, 2025
- Updated
- May 19, 2025