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