| library_name: transformers | |
| license: apache-2.0 | |
| base_model: vidore/colqwen2-base | |
| tags: | |
| - colpali | |
| - generated_from_trainer | |
| pipeline_tag: visual-document-retrieval | |
| model-index: | |
| - name: finetune_colqwen2-v1.0 | |
| results: [] | |
| <!-- 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. --> | |
| # finetune_colqwen2-v1.0 | |
| This model is a fine-tuned version of [vidore/colqwen2-base](https://huggingface.co/vidore/colqwen2-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.4260 | |
| - eval_model_preparation_time: 0.0093 | |
| - eval_runtime: 188.0038 | |
| - eval_samples_per_second: 0.532 | |
| - eval_steps_per_second: 0.266 | |
| - epoch: 0.4796 | |
| - step: 100 | |
| ## 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: 3e-05 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 2 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 16 | |
| - 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 | |
| ### Framework versions | |
| - Transformers 4.46.3 | |
| - Pytorch 2.5.1+cu124 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.20.3 | |