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2022-05-04 13:11:52 INFO Running runs: [] |
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2022-05-04 13:11:53 INFO Agent received command: run |
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2022-05-04 13:11:53 INFO Agent starting run with config: |
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eval_split_name: test |
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eval_steps: 500 |
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evaluation_strategy: steps |
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generation_max_length: 40 |
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generation_num_beams: 1 |
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gradient_accumulation_steps: 8 |
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greater_is_better: True |
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hidden_dropout: 0.18004101365999406 |
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language: fr.en |
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learning_rate: 0.0002757119755681108 |
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logging_steps: 1 |
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max_duration_in_seconds: 20 |
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metric_for_best_model: bleu |
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model_name_or_path: ./ |
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num_train_epochs: 3 |
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output_dir: ./ |
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per_device_eval_batch_size: 8 |
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per_device_train_batch_size: 8 |
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save_steps: 500 |
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task: covost2 |
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warmup_steps: 500 |
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2022-05-04 13:11:53 INFO About to run command: python3 run_xtreme_s.py --overwrite_output_dir --freeze_feature_encoder --gradient_checkpointing --predict_with_generate --fp16 --group_by_length --do_train --do_eval --load_best_model_at_end --push_to_hub --use_auth_token --eval_split_name=test --eval_steps=500 --evaluation_strategy=steps --generation_max_length=40 --generation_num_beams=1 --gradient_accumulation_steps=8 --greater_is_better=True --hidden_dropout=0.18004101365999406 --language=fr.en --learning_rate=0.0002757119755681108 --logging_steps=1 --max_duration_in_seconds=20 --metric_for_best_model=bleu --model_name_or_path=./ --num_train_epochs=3 --output_dir=./ --per_device_eval_batch_size=8 --per_device_train_batch_size=8 --save_steps=500 --task=covost2 --warmup_steps=500 |
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2022-05-04 13:11:58 INFO Running runs: ['qk3ze7ok'] |
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2022-05-04 13:12:13 INFO Running runs: [] |
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2022-05-04 13:12:13 INFO Agent received command: run |
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2022-05-04 13:12:13 INFO Agent starting run with config: |
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eval_split_name: test |
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eval_steps: 500 |
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evaluation_strategy: steps |
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generation_max_length: 40 |
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generation_num_beams: 1 |
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gradient_accumulation_steps: 8 |
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greater_is_better: True |
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hidden_dropout: 0.04999238095195753 |
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language: fr.en |
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learning_rate: 0.0007702133913256148 |
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logging_steps: 1 |
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max_duration_in_seconds: 20 |
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metric_for_best_model: bleu |
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model_name_or_path: ./ |
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num_train_epochs: 3 |
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output_dir: ./ |
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per_device_eval_batch_size: 8 |
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per_device_train_batch_size: 8 |
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save_steps: 500 |
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task: covost2 |
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warmup_steps: 500 |
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2022-05-04 13:12:13 INFO About to run command: python3 run_xtreme_s.py --overwrite_output_dir --freeze_feature_encoder --gradient_checkpointing --predict_with_generate --fp16 --group_by_length --do_train --do_eval --load_best_model_at_end --push_to_hub --use_auth_token --eval_split_name=test --eval_steps=500 --evaluation_strategy=steps --generation_max_length=40 --generation_num_beams=1 --gradient_accumulation_steps=8 --greater_is_better=True --hidden_dropout=0.04999238095195753 --language=fr.en --learning_rate=0.0007702133913256148 --logging_steps=1 --max_duration_in_seconds=20 --metric_for_best_model=bleu --model_name_or_path=./ --num_train_epochs=3 --output_dir=./ --per_device_eval_batch_size=8 --per_device_train_batch_size=8 --save_steps=500 --task=covost2 --warmup_steps=500 |
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2022-05-04 13:12:18 INFO Running runs: ['o7jpar4x'] |
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2022-05-04 13:30:33 INFO Running runs: [] |
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2022-05-04 13:30:33 INFO Agent received command: run |
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2022-05-04 13:30:33 INFO Agent starting run with config: |
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eval_split_name: test |
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eval_steps: 500 |
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evaluation_strategy: steps |
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generation_max_length: 40 |
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generation_num_beams: 1 |
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gradient_accumulation_steps: 8 |
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greater_is_better: True |
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hidden_dropout: 0.035938233699532036 |
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language: fr.en |
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learning_rate: 0.0003284999261672522 |
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logging_steps: 1 |
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max_duration_in_seconds: 20 |
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metric_for_best_model: bleu |
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model_name_or_path: ./ |
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num_train_epochs: 3 |
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output_dir: ./ |
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per_device_eval_batch_size: 8 |
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per_device_train_batch_size: 8 |
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save_steps: 500 |
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task: covost2 |
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warmup_steps: 500 |
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2022-05-04 13:30:33 INFO About to run command: python3 run_xtreme_s.py --overwrite_output_dir --freeze_feature_encoder --gradient_checkpointing --predict_with_generate --fp16 --group_by_length --do_train --do_eval --load_best_model_at_end --push_to_hub --use_auth_token --eval_split_name=test --eval_steps=500 --evaluation_strategy=steps --generation_max_length=40 --generation_num_beams=1 --gradient_accumulation_steps=8 --greater_is_better=True --hidden_dropout=0.035938233699532036 --language=fr.en --learning_rate=0.0003284999261672522 --logging_steps=1 --max_duration_in_seconds=20 --metric_for_best_model=bleu --model_name_or_path=./ --num_train_epochs=3 --output_dir=./ --per_device_eval_batch_size=8 --per_device_train_batch_size=8 --save_steps=500 --task=covost2 --warmup_steps=500 |
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2022-05-04 13:30:38 INFO Running runs: ['1tmxz74i'] |
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