Saving weights and logs of step 50001
Browse files
events.out.tfevents.1632585444.t1v-n-358ff5d1-w-0.1128861.3.v2
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events.out.tfevents.1633002482.t1v-n-358ff5d1-w-0.47761.3.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:f45461d540cc83425d429576f7a7e664371966496bd2261b3e94c4e8a2ffff0a
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size 7417652
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flax_model.msgpack
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size 498796983
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size 498796983
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run_recover_100k_stream.sh
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./run_mlm_flax_stream.py \
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--output_dir="./" \
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--model_name_or_path="." \
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--model_type="roberta" \
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--config_name="./" \
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--tokenizer_name="./" \
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--model_name_or_path="./" \
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--dataset_name="NbAiLab/NCC2" \
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--max_seq_length="512" \
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--weight_decay="0.01" \
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--per_device_train_batch_size="48" \
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--per_device_eval_batch_size="48" \
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--learning_rate="1.1e-4" \
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--warmup_steps="1000" \
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--overwrite_output_dir \
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--cache_dir /mnt/disks/flaxdisk/cache/ \
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--num_train_steps="400000" \
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--adam_beta1="0.9" \
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--adam_beta2="0.98" \
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--logging_steps="10000" \
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--save_steps="100000" \
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--eval_steps="50000" \
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--preprocessing_num_workers 96 \
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--auth_token True \
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--adafactor \
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--push_to_hub
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