colqwen_ufo

This model is a fine-tuned version of vidore/colqwen2-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0562

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 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
0.1137	0.1636	80	0.0768
0.0307	0.3272	160	0.0621
0.0336	0.4908	240	0.0627
0.0217	0.6544	320	0.0579
0.0278	0.8180	400	0.0563
0.0265	0.9816	480	0.0562

Framework versions

• PEFT 0.15.2
• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.3.1
• Tokenizers 0.21.0