| for lang in "arabic" "chinese" "czech" "english" "finnish" "french" "german" "hindi" "hungarian" "italian" "portuguese" "russian" "spanish" "turkish" | |
| do | |
| echo ""; | |
| echo "$lang"; | |
| ./run_mlm_flax_eval.py \ | |
| --model_name_or_path="bert-base-multilingual-cased" \ | |
| --output_dir="./" \ | |
| --model_type="bert" \ | |
| --config_name="./" \ | |
| --validation_file="./pulpo_lines_val.json" \ | |
| --train_file="./pulpo_lines_train.json" \ | |
| --tokenizer_name="bert-base-multilingual-cased" \ | |
| --max_seq_length="32" \ | |
| --pad_to_max_length \ | |
| --per_device_train_batch_size="256" \ | |
| --per_device_eval_batch_size="256" \ | |
| --adam_beta1="0.9" \ | |
| --adam_beta2="0.98" \ | |
| --adam_epsilon="1e-6" \ | |
| --learning_rate="1.25e-4" \ | |
| --weight_decay="0.01" \ | |
| --save_steps="1000" \ | |
| --warmup_steps="10000" \ | |
| --num_train_epochs="40" \ | |
| --overwrite_output_dir \ | |
| --eval_steps="1000" \ | |
| --do_train="false" \ | |
| --do_eval="true" \ | |
| --lang="$lang" \ | |
| --logging_steps="500" | |
| done | |