diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_104.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_104.sh new file mode 100644 index 0000000000000000000000000000000000000000..ecce45c6db77ca6aeefb83eaad1a80490a3a71d7 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_104.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalae_splitae_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer104/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalae_splitae_splitaa \ + --output-prefix $FINAL_DIR/tokenizer104/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_112.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_112.sh new file mode 100644 index 0000000000000000000000000000000000000000..afd0d1204b7bc4fa167ae884c40e4ec78ae0668b --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_112.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaf_splitaa_splitac +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer112/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaf_splitaa_splitac \ + --output-prefix $FINAL_DIR/tokenizer112/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_113.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_113.sh new file mode 100644 index 0000000000000000000000000000000000000000..c08c9b1d74464a531bd08a284632237da0630597 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_113.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaf_splitaa_splitad +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer113/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaf_splitaa_splitad \ + --output-prefix $FINAL_DIR/tokenizer113/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_134.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_134.sh new file mode 100644 index 0000000000000000000000000000000000000000..27b674036f6e2851dc84db5bed876509383903f7 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_134.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalag_splitac_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer134/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalag_splitac_splitae \ + --output-prefix $FINAL_DIR/tokenizer134/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_14.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_14.sh new file mode 100644 index 0000000000000000000000000000000000000000..dcbba0407692aeaf27467b72ebb101d4c8d00acb --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_14.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaa_splitac_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer14/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaa_splitac_splitae \ + --output-prefix $FINAL_DIR/tokenizer14/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_140.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_140.sh new file mode 100644 index 0000000000000000000000000000000000000000..5c94cfa2c4b95c46f99757e0784677faa69763b7 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_140.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalag_splitae_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer140/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalag_splitae_splitaa \ + --output-prefix $FINAL_DIR/tokenizer140/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_149.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_149.sh new file mode 100644 index 0000000000000000000000000000000000000000..a72a2ec6b48a58a9f8bd437951d9d3e2e920ebc8 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_149.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalah_splitab_splitac +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer149/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalah_splitab_splitac \ + --output-prefix $FINAL_DIR/tokenizer149/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_15.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_15.sh new file mode 100644 index 0000000000000000000000000000000000000000..79d4bc58c050df25b95cbd22616771c96a897bca --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_15.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaa_splitad +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer15/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaa_splitad \ + --output-prefix $FINAL_DIR/tokenizer15/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_153.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_153.sh new file mode 100644 index 0000000000000000000000000000000000000000..402763fe09d70f704eeb41dd5b8c5d94df09230d --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_153.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalah_splitac_splitab +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer153/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalah_splitac_splitab \ + --output-prefix $FINAL_DIR/tokenizer153/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_16.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_16.sh new file mode 100644 index 0000000000000000000000000000000000000000..675400119e987e6c8e41b02ae292d5e060d0a4f3 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_16.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaa_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer16/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaa_splitae \ + --output-prefix $FINAL_DIR/tokenizer16/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_163.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_163.sh new file mode 100644 index 0000000000000000000000000000000000000000..cbfa24f73b16ad61fa759703fd54c70b9122512e --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_163.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalah_splitaf +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer163/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalah_splitaf \ + --output-prefix $FINAL_DIR/tokenizer163/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_174.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_174.sh new file mode 100644 index 0000000000000000000000000000000000000000..fcabd7eba80dcc83d3b17d6c9b88acffcdb366c4 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_174.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalai_splitac_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer174/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalai_splitac_splitae \ + --output-prefix $FINAL_DIR/tokenizer174/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_179.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_179.sh new file mode 100644 index 0000000000000000000000000000000000000000..0fef648c2da7952aa2ad70ea3e463b97d3a6b90e --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_179.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalai_splitad_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer179/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalai_splitad_splitae \ + --output-prefix $FINAL_DIR/tokenizer179/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_189.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_189.sh new file mode 100644 index 0000000000000000000000000000000000000000..a519704ce2a47978331652aa8a3f9ee0b6f9e3fe --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_189.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaj_splitaa_splitad +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer189/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaj_splitaa_splitad \ + --output-prefix $FINAL_DIR/tokenizer189/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_209.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_209.sh new file mode 100644 index 0000000000000000000000000000000000000000..1db145a5338c038e7858e063bc02058404868d79 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_209.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalak_splitaa_splitab +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer209/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalak_splitaa_splitab \ + --output-prefix $FINAL_DIR/tokenizer209/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_213.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_213.sh new file mode 100644 index 0000000000000000000000000000000000000000..1fee9031760c6cd958db6fea310ee0cb3eab21b6 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_213.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalak_splitab +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer213/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalak_splitab \ + --output-prefix $FINAL_DIR/tokenizer213/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_223.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_223.sh new file mode 100644 index 0000000000000000000000000000000000000000..f68d01da900fc0778c9c70eabef738d8b578d46e --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_223.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalak_splitad_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer223/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalak_splitad_splitae \ + --output-prefix $FINAL_DIR/tokenizer223/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_263.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_263.sh new file mode 100644 index 0000000000000000000000000000000000000000..567b10d6895bfb6a458cb8269fd269a94c811d50 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_263.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalam_splitad_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer263/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalam_splitad_splitae \ + --output-prefix $FINAL_DIR/tokenizer263/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_273.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_273.sh new file mode 100644 index 0000000000000000000000000000000000000000..61a6fc396fc057d91d6e0b40cb08de65cb54bedf --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_273.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalan_splitab_splitac +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer273/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalan_splitab_splitac \ + --output-prefix $FINAL_DIR/tokenizer273/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_280.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_280.sh new file mode 100644 index 0000000000000000000000000000000000000000..c4eeaa88c173d5a293166b28e127265f0b551f05 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_280.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalan_splitac_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer280/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalan_splitac_splitae \ + --output-prefix $FINAL_DIR/tokenizer280/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_283.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_283.sh new file mode 100644 index 0000000000000000000000000000000000000000..5fdf0445bc3b842ffeaacb31f0c11323a6f73115 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_283.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalan_splitad_splitac +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer283/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalan_splitad_splitac \ + --output-prefix $FINAL_DIR/tokenizer283/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_286.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_286.sh new file mode 100644 index 0000000000000000000000000000000000000000..c38c1a01a4736891343d8381a9b766d6e8c3fd9f --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_286.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalan_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer286/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalan_splitae \ + --output-prefix $FINAL_DIR/tokenizer286/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_287.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_287.sh new file mode 100644 index 0000000000000000000000000000000000000000..569266a0d2214a3b4fbd858e57cd4873c153394d --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_287.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalan_splitaf +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer287/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalan_splitaf \ + --output-prefix $FINAL_DIR/tokenizer287/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_290.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_290.sh new file mode 100644 index 0000000000000000000000000000000000000000..4d3270193bced4201d4120c70b6f6378e5ef68a4 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_290.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalao_splitaa_splitac +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer290/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalao_splitaa_splitac \ + --output-prefix $FINAL_DIR/tokenizer290/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_294.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_294.sh new file mode 100644 index 0000000000000000000000000000000000000000..7aa00a3695c2d494d7e315c00c00ac687a06f9a5 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_294.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalao_splitab_splitab +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer294/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalao_splitab_splitab \ + --output-prefix $FINAL_DIR/tokenizer294/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_316.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_316.sh new file mode 100644 index 0000000000000000000000000000000000000000..ca62d394883c37b8b4207245cd74e138296da65e --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_316.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalap_splitab_splitab +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer316/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalap_splitab_splitab \ + --output-prefix $FINAL_DIR/tokenizer316/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_326.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_326.sh new file mode 100644 index 0000000000000000000000000000000000000000..6884bb09e83d8531f0c38eb7a77843047c9d5b7b --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_326.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalap_splitad_splitab +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer326/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalap_splitad_splitab \ + --output-prefix $FINAL_DIR/tokenizer326/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_337.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_337.sh new file mode 100644 index 0000000000000000000000000000000000000000..2b60f1d2029e9cee98e4a3d80dd2351971eccce9 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_337.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaq_splitaa_splitab +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer337/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaq_splitaa_splitab \ + --output-prefix $FINAL_DIR/tokenizer337/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_338.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_338.sh new file mode 100644 index 0000000000000000000000000000000000000000..e6761a0befd61112f29fa0a710db97ffbc4fd0d7 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_338.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaq_splitaa_splitac +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer338/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaq_splitaa_splitac \ + --output-prefix $FINAL_DIR/tokenizer338/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_366.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_366.sh new file mode 100644 index 0000000000000000000000000000000000000000..d876e51381a8fd7807684c0b4c3cd9ba62587f77 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_366.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalar_splitab_splitad +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer366/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalar_splitab_splitad \ + --output-prefix $FINAL_DIR/tokenizer366/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_37.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_37.sh new file mode 100644 index 0000000000000000000000000000000000000000..430dea6ae34ce49edb86bfc5e0ee769cd84283d4 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_37.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalab_splitae_splitad +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer37/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalab_splitae_splitad \ + --output-prefix $FINAL_DIR/tokenizer37/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_389.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_389.sh new file mode 100644 index 0000000000000000000000000000000000000000..a973e0b7fce9c3b64f7efb0ff499049ecffa81ac --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_389.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalas_splitab_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer389/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalas_splitab_splitae \ + --output-prefix $FINAL_DIR/tokenizer389/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_403.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_403.sh new file mode 100644 index 0000000000000000000000000000000000000000..d385d1d8e68809852167e6568dcbe7808b2ce43d --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_403.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalas_splitae_splitad +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer403/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalas_splitae_splitad \ + --output-prefix $FINAL_DIR/tokenizer403/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_42.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_42.sh new file mode 100644 index 0000000000000000000000000000000000000000..5a269e333887867369b5775847ebdf3695393f10 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_42.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalac_splitaa_splitac +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer42/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalac_splitaa_splitac \ + --output-prefix $FINAL_DIR/tokenizer42/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_426.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_426.sh new file mode 100644 index 0000000000000000000000000000000000000000..4ae76269b3f077bb6017410999c64b582d4d924d --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_426.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalau_splitac_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer426/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalau_splitac_splitaa \ + --output-prefix $FINAL_DIR/tokenizer426/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_431.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_431.sh new file mode 100644 index 0000000000000000000000000000000000000000..fd6aefec62e4e42f663ac056c55a1ad671f4664a --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_431.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalau_splitad_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer431/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalau_splitad_splitaa \ + --output-prefix $FINAL_DIR/tokenizer431/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_436.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_436.sh new file mode 100644 index 0000000000000000000000000000000000000000..fd846f631a4ce0acbc2c427be9babbb9e70a8df3 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_436.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalau_splitae_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer436/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalau_splitae_splitaa \ + --output-prefix $FINAL_DIR/tokenizer436/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_441.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_441.sh new file mode 100644 index 0000000000000000000000000000000000000000..e8bf1537f811d79cf3a5fe32a260f55325bd34c3 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_441.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalau_splitaf +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer441/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalau_splitaf \ + --output-prefix $FINAL_DIR/tokenizer441/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_485.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_485.sh new file mode 100644 index 0000000000000000000000000000000000000000..9f111b60332227e86f5229abb0e3d0387cf03fb8 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_485.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaw_splitad_splitac +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer485/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaw_splitad_splitac \ + --output-prefix $FINAL_DIR/tokenizer485/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_49.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_49.sh new file mode 100644 index 0000000000000000000000000000000000000000..040eed235e48ed7e04d552c3d05d5ef2329d83b2 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_49.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalac_splitab_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer49/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalac_splitab_splitae \ + --output-prefix $FINAL_DIR/tokenizer49/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_500.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_500.sh new file mode 100644 index 0000000000000000000000000000000000000000..6c6835a7c70b5464789d32bb2b17bfb60e964f3f --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_500.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalax_splitac_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer500/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalax_splitac_splitae \ + --output-prefix $FINAL_DIR/tokenizer500/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_504.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_504.sh new file mode 100644 index 0000000000000000000000000000000000000000..8ea695fe1f8aaab504b1b859356eb7636008e78a --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_504.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalax_splitae_splitac +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer504/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalax_splitae_splitac \ + --output-prefix $FINAL_DIR/tokenizer504/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_505.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_505.sh new file mode 100644 index 0000000000000000000000000000000000000000..9f88f7936ab3535ee52d4f360baa76a25ab341c8 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_505.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalax_splitae_splitad +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer505/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalax_splitae_splitad \ + --output-prefix $FINAL_DIR/tokenizer505/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_507.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_507.sh new file mode 100644 index 0000000000000000000000000000000000000000..16a02800cc7d1981b6c16bef9fb9efed512851ab --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_507.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalax_splitaf +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer507/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalax_splitaf \ + --output-prefix $FINAL_DIR/tokenizer507/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_510.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_510.sh new file mode 100644 index 0000000000000000000000000000000000000000..efdd237f80b6bc622c4aab655b832a78d4a32eb2 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_510.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalay_splitab_splitab +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer510/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalay_splitab_splitab \ + --output-prefix $FINAL_DIR/tokenizer510/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_527.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_527.sh new file mode 100644 index 0000000000000000000000000000000000000000..75d0b00099adfc21bd2e4136760068241fa3e28b --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_527.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalay_splitae_splitad +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer527/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalay_splitae_splitad \ + --output-prefix $FINAL_DIR/tokenizer527/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_55.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_55.sh new file mode 100644 index 0000000000000000000000000000000000000000..d9d1c6ccf314892fe8aa594ff09d3cb21cfeef68 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_55.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalac_splitad +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer55/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalac_splitad \ + --output-prefix $FINAL_DIR/tokenizer55/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_551.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_551.sh new file mode 100644 index 0000000000000000000000000000000000000000..8d5aa48b64b78f57e73850159691a4004675d5ea --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_551.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaz_splitaf +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer551/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaz_splitaf \ + --output-prefix $FINAL_DIR/tokenizer551/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_56.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_56.sh new file mode 100644 index 0000000000000000000000000000000000000000..bd51e62220b5d5beb4f66ea02126dde8f8c07fa0 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_56.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalac_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer56/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalac_splitae \ + --output-prefix $FINAL_DIR/tokenizer56/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_580.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_580.sh new file mode 100644 index 0000000000000000000000000000000000000000..6244856f29413df192ba40b40af1773b9e94fb4a --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_580.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbb_splitac_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer580/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbb_splitac_splitaa \ + --output-prefix $FINAL_DIR/tokenizer580/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_593.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_593.sh new file mode 100644 index 0000000000000000000000000000000000000000..eeb540911cf29aa707a682f817e9fbd8c13fd7df --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_593.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbb_splitae_splitad +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer593/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbb_splitae_splitad \ + --output-prefix $FINAL_DIR/tokenizer593/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_62.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_62.sh new file mode 100644 index 0000000000000000000000000000000000000000..d9d7b7ff0525bbb9ca4d431ca5ea68a471188d31 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_62.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalad_splitaa_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer62/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalad_splitaa_splitae \ + --output-prefix $FINAL_DIR/tokenizer62/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_637.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_637.sh new file mode 100644 index 0000000000000000000000000000000000000000..d5aa41b4e90d8e820166fdb61c2149db63d5a4c7 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_637.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbe_splitab_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer637/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbe_splitab_splitaa \ + --output-prefix $FINAL_DIR/tokenizer637/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_638.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_638.sh new file mode 100644 index 0000000000000000000000000000000000000000..77ece6b63289dbab200b5e78cf8678bc250ab71c --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_638.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbe_splitab_splitab +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer638/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbe_splitab_splitab \ + --output-prefix $FINAL_DIR/tokenizer638/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_645.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_645.sh new file mode 100644 index 0000000000000000000000000000000000000000..f79f75b0d460f6203c811956edcf9bdd570a0211 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_645.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbe_splitac_splitad +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer645/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbe_splitac_splitad \ + --output-prefix $FINAL_DIR/tokenizer645/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_664.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_664.sh new file mode 100644 index 0000000000000000000000000000000000000000..8cee60429c2a3e1c3c91e363e13b273c92bb6efc --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_664.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbf_splitab_splitab +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer664/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbf_splitab_splitab \ + --output-prefix $FINAL_DIR/tokenizer664/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_676.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_676.sh new file mode 100644 index 0000000000000000000000000000000000000000..e22da34cff88326158c531d297a064b41d9f8496 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_676.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbf_splitad_splitad +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer676/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbf_splitad_splitad \ + --output-prefix $FINAL_DIR/tokenizer676/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_679.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_679.sh new file mode 100644 index 0000000000000000000000000000000000000000..4d45a4159185c2fc5380db33104a10a653860e4d --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_679.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbf_splitae_splitab +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer679/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbf_splitae_splitab \ + --output-prefix $FINAL_DIR/tokenizer679/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_686.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_686.sh new file mode 100644 index 0000000000000000000000000000000000000000..c50a72f5f4cb212be6d814f4cdbe14a0dfb40b8f --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_686.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbg_splitac_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer686/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbg_splitac_splitaa \ + --output-prefix $FINAL_DIR/tokenizer686/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_717.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_717.sh new file mode 100644 index 0000000000000000000000000000000000000000..4cbe6f9ad9da3f3677515e4b32bfb90ac45ec5d5 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_717.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbh_splitad_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer717/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbh_splitad_splitaa \ + --output-prefix $FINAL_DIR/tokenizer717/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_72.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_72.sh new file mode 100644 index 0000000000000000000000000000000000000000..b7c139141bf038ed06c153758b98b50df5ab0e9f --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_72.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalad_splitac_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer72/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalad_splitac_splitae \ + --output-prefix $FINAL_DIR/tokenizer72/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_728.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_728.sh new file mode 100644 index 0000000000000000000000000000000000000000..2bf2a5e40c697f95d653a6456e3204b31c5eb2ab --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_728.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbi_splitaa_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer728/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbi_splitaa_splitaa \ + --output-prefix $FINAL_DIR/tokenizer728/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_737.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_737.sh new file mode 100644 index 0000000000000000000000000000000000000000..17c1fe67d258bb39028e4ade179d8a85ebdc1fa3 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_737.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbi_splitae_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer737/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbi_splitae_splitaa \ + --output-prefix $FINAL_DIR/tokenizer737/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_745.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_745.sh new file mode 100644 index 0000000000000000000000000000000000000000..49295a2ef3d18be26a0d6b0ea5f2c134fec82070 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_745.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbj_splitaa_splitac +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer745/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbj_splitaa_splitac \ + --output-prefix $FINAL_DIR/tokenizer745/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_752.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_752.sh new file mode 100644 index 0000000000000000000000000000000000000000..75faa8e70f9b36da4e4ae8802ccad217707a7e72 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_752.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbj_splitab_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer752/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbj_splitab_splitae \ + --output-prefix $FINAL_DIR/tokenizer752/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_753.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_753.sh new file mode 100644 index 0000000000000000000000000000000000000000..e713e4fc27152fa2d8875e51d3ba75bbbc2dd9ce --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_753.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbj_splitac_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer753/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbj_splitac_splitaa \ + --output-prefix $FINAL_DIR/tokenizer753/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_793.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_793.sh new file mode 100644 index 0000000000000000000000000000000000000000..2c77464220dd67b3696ab2ccc1ccd39408b3d118 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_793.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbk_splitae_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer793/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbk_splitae_splitae \ + --output-prefix $FINAL_DIR/tokenizer793/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_807.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_807.sh new file mode 100644 index 0000000000000000000000000000000000000000..3f7dbfb34d6feea81485076964659e473514d291 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_807.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbl_splitac_splitac +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer807/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbl_splitac_splitac \ + --output-prefix $FINAL_DIR/tokenizer807/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_814.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_814.sh new file mode 100644 index 0000000000000000000000000000000000000000..284d2337caf5c57b1bb72227c31dcf2f038ada8d --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_814.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbl_splitad_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer814/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbl_splitad_splitae \ + --output-prefix $FINAL_DIR/tokenizer814/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_82.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_82.sh new file mode 100644 index 0000000000000000000000000000000000000000..fc061b99bb06050a3ad52383638375af54bb2ca4 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_82.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalad_splitae_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer82/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalad_splitae_splitae \ + --output-prefix $FINAL_DIR/tokenizer82/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_821.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_821.sh new file mode 100644 index 0000000000000000000000000000000000000000..8bf09e1ef610d442aca1df35d5becc32881ff1fd --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_821.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbm_splitaa_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer821/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbm_splitaa_splitae \ + --output-prefix $FINAL_DIR/tokenizer821/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_827.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_827.sh new file mode 100644 index 0000000000000000000000000000000000000000..836a5f2f89f61da161f7af9064b18cdb6cf9f617 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_827.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbm_splitac_splitaa +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer827/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbm_splitac_splitaa \ + --output-prefix $FINAL_DIR/tokenizer827/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_829.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_829.sh new file mode 100644 index 0000000000000000000000000000000000000000..477c0316545ee27eecca74d4765ae422b9120249 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_829.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbm_splitac_splitac +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer829/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbm_splitac_splitac \ + --output-prefix $FINAL_DIR/tokenizer829/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_85.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_85.sh new file mode 100644 index 0000000000000000000000000000000000000000..aee013b6eca60cdfc505447f5e2c4c4cc64f3163 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_85.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalae_splitaa_splitab +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer85/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalae_splitaa_splitab \ + --output-prefix $FINAL_DIR/tokenizer85/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_88.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_88.sh new file mode 100644 index 0000000000000000000000000000000000000000..8e78077207213cb399023700dc657540109db3d0 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_88.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalae_splitaa_splitae +echo "above deepspeed$" +FINAL_DIR=/mnt/weka/peacock/idc/hineng/tok_en-bn-hn/ +#TOKENIZER=facebook/nllb-200-distilled-600M +#TOKENIZER_TYPE=HuggingFaceTokenizer +TOKENIZER_PATH=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k +TOKENIZER=$TOKENIZER_PATH/all.model +VOCAB_FILE=$TOKENIZER_PATH/all.vocab +TOKENIZER_TYPE=SentencePieceTokenizer +mkdir -p $FINAL_DIR/tokenizer88/ +cd /mnt/weka/peacock/experiments/llama/Megatron-DeepSpeed +echo "inside deepspeed" +pwd +python3 tools/preprocess_data.py \ + --input /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalae_splitaa_splitae \ + --output-prefix $FINAL_DIR/tokenizer88/ \ + --tokenizer-model $TOKENIZER \ + --vocab-file $VOCAB_FILE \ + --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ + --append-eod --workers 8 # --partitions 16 #--chunk-size 50 + + # --merge-file $MERGES_FILE \ +