| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - ydshieh/coco_dataset_script | |
| model-index: | |
| - name: clip-roberta-finetuned | |
| 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. --> | |
| # clip-roberta-finetuned | |
| This model was trained from scratch on the ydshieh/coco_dataset_script 2017 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.6257 | |
| ## 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: 64 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 2 | |
| - total_train_batch_size: 128 | |
| - total_eval_batch_size: 128 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.38.0.dev0 | |
| - Pytorch 2.0.1+gita61a294 | |
| - Datasets 2.16.1 | |
| - Tokenizers 0.15.1 | |