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Fixing configs, adding two more for rerun on base and large robertas
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...imental/roberta/roberta.large.malyuk.filter.wechsel.largedict.tpu.run1.rerun1.rerun1.json
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{ | ||
"output_dir": "exps/roberta.large.malyuk.filter.wechsel.largedict.tpu.run1.rerun1.rerun1", | ||
"model_type": "roberta", | ||
"config_name": "exps/roberta.large.malyuk.filter.wechsel.largedict.tpu.run1.rerun1.rerun1", | ||
"tokenizer_name": "exps/roberta.large.malyuk.filter.wechsel.largedict.tpu.run1.rerun1.rerun1", | ||
"train_file": "data/malyuk.filter", | ||
"max_seq_length": 512, | ||
"do_train": true, | ||
"do_eval": true, | ||
"validation_file": "data/bruk_valid_data.txt", | ||
"weight_decay": 1e-1, | ||
"per_device_train_batch_size": 4, | ||
"per_device_eval_batch_size": 4, | ||
"gradient_accumulation_steps": 1, | ||
"learning_rate": 1e-5, | ||
"evaluation_strategy": "steps", | ||
"warmup_steps": 9000, | ||
"max_steps": 400000, | ||
"eval_steps": 500, | ||
"save_steps": 50000, | ||
"logging_steps": 500, | ||
"overwrite_output_dir": true, | ||
"num_train_epochs": 0, | ||
"adam_beta1": 0.965, | ||
"adam_beta2": 0.99, | ||
"adam_epsilon": 1e-6, | ||
"preprocessing_num_workers": 96, | ||
"model_name_or_path": "exps/roberta.large.malyuk.filter.wechsel.largedict.tpu.run1.rerun1.rerun1", | ||
"bf16": true, | ||
"optimizer": "sophia", | ||
"lr_scheduler_type": "linear" | ||
} |
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.../experimental/roberta/roberta.malyuk.filter.wechsel.largedict.tpu.run7.rerun3.rerun1.json
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{ | ||
"output_dir": "exps/roberta.malyuk.filter.wechsel.largedict.tpu.run7.rerun3.rerun1", | ||
"model_type": "roberta", | ||
"config_name": "exps/roberta.malyuk.filter.wechsel.largedict.tpu.run7.rerun3.rerun1", | ||
"tokenizer_name": "exps/roberta.malyuk.filter.wechsel.largedict.tpu.run7.rerun3.rerun1", | ||
"train_file": "data/malyuk.filter", | ||
"max_seq_length": 512, | ||
"do_train": true, | ||
"do_eval": true, | ||
"validation_file": "data/bruk_valid_data.txt", | ||
"weight_decay": 1e-1, | ||
"per_device_train_batch_size": 38, | ||
"per_device_eval_batch_size": 38, | ||
"gradient_accumulation_steps": 1, | ||
"learning_rate": 1e-5, | ||
"evaluation_strategy": "steps", | ||
"warmup_steps": 9000, | ||
"max_steps": 400000, | ||
"eval_steps": 500, | ||
"save_steps": 50000, | ||
"logging_steps": 500, | ||
"overwrite_output_dir": true, | ||
"num_train_epochs": 0, | ||
"adam_beta1": 0.965, | ||
"adam_beta2": 0.99, | ||
"adam_epsilon": 1e-6, | ||
"preprocessing_num_workers": 96, | ||
"model_name_or_path": "exps/roberta.malyuk.filter.wechsel.largedict.tpu.run7.rerun3.rerun1", | ||
"bf16": true, | ||
"optimizer": "sophia", | ||
"lr_scheduler_type": "linear" | ||
} |