JandC/donut-base-ner_small_memory

1---2license: mit3base_model: naver-clova-ix/donut-base4tags:5- generated_from_trainer6datasets:7- imagefolder8model-index:9- name: donut-base-ner_small_memory10  results: []11---12 13<!-- This model card has been generated automatically according to the information the Trainer had access to. You14should probably proofread and complete it, then remove this comment. -->15 16# donut-base-ner_small_memory17 18This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.19 20## Model description21 22More information needed23 24## Intended uses & limitations25 26More information needed27 28## Training and evaluation data29 30More information needed31 32## Training procedure33 34### Training hyperparameters35 36The following hyperparameters were used during training:37- learning_rate: 2e-0538- train_batch_size: 239- eval_batch_size: 840- seed: 4241- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0842- lr_scheduler_type: linear43- num_epochs: 1044- mixed_precision_training: Native AMP45 46### Training results47 48 49 50### Framework versions51 52- Transformers 4.36.0.dev053- Pytorch 2.1.0+cu11854- Datasets 2.14.655- Tokenizers 0.14.156