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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
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