--- tags: - generated_from_trainer datasets: - davanstrien/manuscript_noisy_labels_iiif model-index: - name: clip-roberta-finetuned results: [] --- # clip-roberta-finetuned This model is a fine-tuned version of [./clip-roberta](https://huggingface.co/./clip-roberta) on the davanstrien/manuscript_noisy_labels_iiif dataset. ## 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 - 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 4.21.0.dev0 - Pytorch 1.12.0+cu113 - Datasets 2.3.2 - Tokenizers 0.12.1