name: BERTIN NER and POS es project: bertin-eval enitity: versae program: run_ner.py command: - ${env} - ${interpreter} - ${program} - ${args} method: grid metric: name: eval/accuracy goal: maximize parameters: model_name_or_path: values: - bertin-project/bertin-base-gaussian-exp-512seqlen - bertin-project/bertin-base-random-exp-512seqlen - bertin-project/bertin-base-gaussian - bertin-project/bertin-base-stepwise - bertin-project/bertin-base-random - bertin-project/bertin-roberta-base-spanish - flax-community/bertin-roberta-large-spanish - BSC-TeMU/roberta-base-bne - dccuchile/bert-base-spanish-wwm-cased - bert-base-multilingual-cased num_train_epochs: values: [5] task_name: values: - ner - pos dataset_name: value: conll2002 dataset_config_name: value: es output_dir: value: ./outputs overwrite_output_dir: value: true pad_to_max_length: value: true per_device_train_batch_size: value: 16 per_device_eval_batch_size: value: 16 save_total_limit: value: 1 do_train: value: true do_eval: value: true