diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_105.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_105.sh new file mode 100644 index 0000000000000000000000000000000000000000..2a5408f90ec7590a7e8f3e8a01bc6415023d0f91 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_105.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_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/tokenizer105/ +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_splitab \ + --output-prefix $FINAL_DIR/tokenizer105/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_108.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_108.sh new file mode 100644 index 0000000000000000000000000000000000000000..d02c0f3f1d8b6ecb5e2b85ca074b644c6d68ecef --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_108.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalae_splitae_splitae +echo "above deepspeed$" +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/tokenizer108/ +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_splitae \ + --output-prefix $FINAL_DIR/tokenizer108/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_122.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_122.sh new file mode 100644 index 0000000000000000000000000000000000000000..55f67ee75fa9f6ab6f76b8bd3febfe679b29d94f --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_122.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaf_splitae +echo "above deepspeed$" +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/tokenizer122/ +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_splitae \ + --output-prefix $FINAL_DIR/tokenizer122/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_126.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_126.sh new file mode 100644 index 0000000000000000000000000000000000000000..636e7f00d2b2dac9553bd30d12cadb0616ae4d14 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_126.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalag_splitab_splitab +echo "above deepspeed$" +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/tokenizer126/ +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_splitab_splitab \ + --output-prefix $FINAL_DIR/tokenizer126/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_136.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_136.sh new file mode 100644 index 0000000000000000000000000000000000000000..18a1ae5908d608a38422665b2f03687cfd30fe39 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_136.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalag_splitad_splitab +echo "above deepspeed$" +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/tokenizer136/ +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_splitad_splitab \ + --output-prefix $FINAL_DIR/tokenizer136/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_167.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_167.sh new file mode 100644 index 0000000000000000000000000000000000000000..4a8e048364348787790ad0c9b3d0db946d2e80e6 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_167.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalai_splitab_splitac +echo "above deepspeed$" +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/tokenizer167/ +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_splitab_splitac \ + --output-prefix $FINAL_DIR/tokenizer167/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_176.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_176.sh new file mode 100644 index 0000000000000000000000000000000000000000..6eca04c0ec04f12a9e0dff226009cc9bf9657ce3 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_176.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalai_splitad_splitab +echo "above deepspeed$" +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/tokenizer176/ +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_splitab \ + --output-prefix $FINAL_DIR/tokenizer176/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_18.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_18.sh new file mode 100644 index 0000000000000000000000000000000000000000..045148a0ebae49e780987b98b0c65ee183c3ba45 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_18.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalab_splitaa_splitaa +echo "above deepspeed$" +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/tokenizer18/ +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_splitaa_splitaa \ + --output-prefix $FINAL_DIR/tokenizer18/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_183.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_183.sh new file mode 100644 index 0000000000000000000000000000000000000000..72af33ac350846d744f109d3d27e42c778de01d8 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_183.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalai_splitae_splitad +echo "above deepspeed$" +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/tokenizer183/ +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_splitae_splitad \ + --output-prefix $FINAL_DIR/tokenizer183/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_19.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_19.sh new file mode 100644 index 0000000000000000000000000000000000000000..0e2db56842458a4c2e8bbe8f8bd5f75151f0293f --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_19.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalab_splitaa_splitab +echo "above deepspeed$" +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/tokenizer19/ +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_splitaa_splitab \ + --output-prefix $FINAL_DIR/tokenizer19/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_197.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_197.sh new file mode 100644 index 0000000000000000000000000000000000000000..1227eca17bf4b827df177d0f460932c5836a18bf --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_197.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaj_splitac_splitab +echo "above deepspeed$" +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/tokenizer197/ +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_splitac_splitab \ + --output-prefix $FINAL_DIR/tokenizer197/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_210.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_210.sh new file mode 100644 index 0000000000000000000000000000000000000000..ea217b82c8017a054211663e34eb9006a00d83bd --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_210.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalak_splitaa_splitac +echo "above deepspeed$" +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/tokenizer210/ +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_splitac \ + --output-prefix $FINAL_DIR/tokenizer210/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_217.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_217.sh new file mode 100644 index 0000000000000000000000000000000000000000..928817d1247a3b1e3940c32e091540affa9112dd --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_217.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalak_splitac_splitad +echo "above deepspeed$" +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/tokenizer217/ +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_splitac_splitad \ + --output-prefix $FINAL_DIR/tokenizer217/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_218.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_218.sh new file mode 100644 index 0000000000000000000000000000000000000000..5ca95944c6664e6270286bb9da6b0c4ed52c47b0 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_218.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalak_splitac_splitae +echo "above deepspeed$" +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/tokenizer218/ +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_splitac_splitae \ + --output-prefix $FINAL_DIR/tokenizer218/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_24.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_24.sh new file mode 100644 index 0000000000000000000000000000000000000000..3e1739ae6b1f7f52d07597486b01461f5b52921d --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_24.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalab_splitab_splitab +echo "above deepspeed$" +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/tokenizer24/ +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_splitab_splitab \ + --output-prefix $FINAL_DIR/tokenizer24/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_27.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_27.sh new file mode 100644 index 0000000000000000000000000000000000000000..d8ba339ce22358ff25027e2a94357e86f359a4ed --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_27.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalab_splitab_splitae +echo "above deepspeed$" +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/tokenizer27/ +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_splitab_splitae \ + --output-prefix $FINAL_DIR/tokenizer27/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_276.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_276.sh new file mode 100644 index 0000000000000000000000000000000000000000..c02d4513df14a8f1b791cb9febcb0961d2b1d5fb --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_276.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalan_splitac_splitaa +echo "above deepspeed$" +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/tokenizer276/ +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_splitaa \ + --output-prefix $FINAL_DIR/tokenizer276/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_278.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_278.sh new file mode 100644 index 0000000000000000000000000000000000000000..b7eda449c7f0278317cbfc183a9f8644ac276b35 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_278.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalan_splitac_splitac +echo "above deepspeed$" +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/tokenizer278/ +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_splitac \ + --output-prefix $FINAL_DIR/tokenizer278/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_288.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_288.sh new file mode 100644 index 0000000000000000000000000000000000000000..d2f467f76154bc4899bcdc1f2fee2e9aeeac5dc3 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_288.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalao_splitaa_splitaa +echo "above deepspeed$" +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/tokenizer288/ +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_splitaa \ + --output-prefix $FINAL_DIR/tokenizer288/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_300.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_300.sh new file mode 100644 index 0000000000000000000000000000000000000000..6d62925d44079368cc3eb4fedad527cf3f6a08d2 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_300.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalao_splitad_splitab +echo "above deepspeed$" +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/tokenizer300/ +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_splitad_splitab \ + --output-prefix $FINAL_DIR/tokenizer300/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_304.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_304.sh new file mode 100644 index 0000000000000000000000000000000000000000..2770d1b7d5ad0bb963404f6fa28bfc7a4e017900 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_304.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalao_splitae_splitaa +echo "above deepspeed$" +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/tokenizer304/ +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_splitae_splitaa \ + --output-prefix $FINAL_DIR/tokenizer304/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_317.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_317.sh new file mode 100644 index 0000000000000000000000000000000000000000..2f32d02fe0b5b608225cc075154e2c677d3b710f --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_317.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalap_splitab_splitac +echo "above deepspeed$" +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/tokenizer317/ +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_splitac \ + --output-prefix $FINAL_DIR/tokenizer317/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_361.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_361.sh new file mode 100644 index 0000000000000000000000000000000000000000..8bba2f2643ade6c77a244fe9b7e27fe5a94c8c9f --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_361.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalar_splitaa_splitad +echo "above deepspeed$" +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/tokenizer361/ +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_splitaa_splitad \ + --output-prefix $FINAL_DIR/tokenizer361/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_402.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_402.sh new file mode 100644 index 0000000000000000000000000000000000000000..15b77ed8bc13077472eac8eb986b14cf9902f8e1 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_402.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalas_splitae_splitac +echo "above deepspeed$" +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/tokenizer402/ +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_splitac \ + --output-prefix $FINAL_DIR/tokenizer402/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_41.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_41.sh new file mode 100644 index 0000000000000000000000000000000000000000..64279a1b2b7f17198cea20c084de99c21fe5a6d6 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_41.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalac_splitaa_splitab +echo "above deepspeed$" +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/tokenizer41/ +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_splitab \ + --output-prefix $FINAL_DIR/tokenizer41/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_411.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_411.sh new file mode 100644 index 0000000000000000000000000000000000000000..ed294591f4560312cb37ade9cea5b22759565044 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_411.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalat_splitad_splitac +echo "above deepspeed$" +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/tokenizer411/ +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//finalat_splitad_splitac \ + --output-prefix $FINAL_DIR/tokenizer411/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_445.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_445.sh new file mode 100644 index 0000000000000000000000000000000000000000..dc48d4119057e1ff0ea1316d2b528f014a517974 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_445.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalav_splitaa_splitad +echo "above deepspeed$" +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/tokenizer445/ +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//finalav_splitaa_splitad \ + --output-prefix $FINAL_DIR/tokenizer445/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_458.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_458.sh new file mode 100644 index 0000000000000000000000000000000000000000..4b6d73919b880ad4316dd91b8299d68501a8d149 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_458.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalav_splitad_splitab +echo "above deepspeed$" +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/tokenizer458/ +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//finalav_splitad_splitab \ + --output-prefix $FINAL_DIR/tokenizer458/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_470.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_470.sh new file mode 100644 index 0000000000000000000000000000000000000000..68cf3837f86eefc5093d663669a6c42f142abb0b --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_470.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaw_splitaa_splitac +echo "above deepspeed$" +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/tokenizer470/ +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_splitaa_splitac \ + --output-prefix $FINAL_DIR/tokenizer470/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_472.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_472.sh new file mode 100644 index 0000000000000000000000000000000000000000..632b20bf026676a3b24cabe622c9c6ab0d557811 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_472.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaw_splitaa_splitae +echo "above deepspeed$" +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/tokenizer472/ +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_splitaa_splitae \ + --output-prefix $FINAL_DIR/tokenizer472/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_474.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_474.sh new file mode 100644 index 0000000000000000000000000000000000000000..3feda7bb66f8266f4d28e4ff16e7a136fc3739c5 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_474.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaw_splitab_splitab +echo "above deepspeed$" +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/tokenizer474/ +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_splitab_splitab \ + --output-prefix $FINAL_DIR/tokenizer474/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_476.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_476.sh new file mode 100644 index 0000000000000000000000000000000000000000..709da63441bd4bf1f81e131e32d28375d317142f --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_476.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaw_splitab_splitad +echo "above deepspeed$" +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/tokenizer476/ +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_splitab_splitad \ + --output-prefix $FINAL_DIR/tokenizer476/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_491.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_491.sh new file mode 100644 index 0000000000000000000000000000000000000000..7576b3065f6da576667666340b9185452486b18a --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_491.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaw_splitae_splitad +echo "above deepspeed$" +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/tokenizer491/ +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_splitae_splitad \ + --output-prefix $FINAL_DIR/tokenizer491/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_496.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_496.sh new file mode 100644 index 0000000000000000000000000000000000000000..2961160c8366a6d1e73313b0e05f4f739bd52a71 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_496.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalax_splitac_splitaa +echo "above deepspeed$" +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/tokenizer496/ +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_splitaa \ + --output-prefix $FINAL_DIR/tokenizer496/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_499.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_499.sh new file mode 100644 index 0000000000000000000000000000000000000000..5a6f164263eb09d6388ef0cda4e422a8740765c4 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_499.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalax_splitac_splitad +echo "above deepspeed$" +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/tokenizer499/ +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_splitad \ + --output-prefix $FINAL_DIR/tokenizer499/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_501.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_501.sh new file mode 100644 index 0000000000000000000000000000000000000000..7eadfca1b434c75d64aa652b09dcf2f45cc56d02 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_501.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalax_splitad +echo "above deepspeed$" +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/tokenizer501/ +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_splitad \ + --output-prefix $FINAL_DIR/tokenizer501/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_52.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_52.sh new file mode 100644 index 0000000000000000000000000000000000000000..10b01a88bc01015389266fbaf0391c0711ef4ee0 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_52.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalac_splitac_splitac +echo "above deepspeed$" +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/tokenizer52/ +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_splitac_splitac \ + --output-prefix $FINAL_DIR/tokenizer52/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_533.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_533.sh new file mode 100644 index 0000000000000000000000000000000000000000..a59fc0085906699fe195d49674dd2ed7e3b5cb21 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_533.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaz_splitaa_splitad +echo "above deepspeed$" +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/tokenizer533/ +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_splitaa_splitad \ + --output-prefix $FINAL_DIR/tokenizer533/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_540.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_540.sh new file mode 100644 index 0000000000000000000000000000000000000000..e3d421d7bd69768643c530937f97b81644677ae5 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_540.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaz_splitac +echo "above deepspeed$" +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/tokenizer540/ +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_splitac \ + --output-prefix $FINAL_DIR/tokenizer540/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_553.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_553.sh new file mode 100644 index 0000000000000000000000000000000000000000..b728f1a288937b2f7e50f545ba567459910f12fd --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_553.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalba_splitaa_splitab +echo "above deepspeed$" +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/tokenizer553/ +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//finalba_splitaa_splitab \ + --output-prefix $FINAL_DIR/tokenizer553/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_562.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_562.sh new file mode 100644 index 0000000000000000000000000000000000000000..551c099143dd6c309a971ec2c4eb437b454088a5 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_562.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalba_splitac_splitaa +echo "above deepspeed$" +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/tokenizer562/ +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//finalba_splitac_splitaa \ + --output-prefix $FINAL_DIR/tokenizer562/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_573.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_573.sh new file mode 100644 index 0000000000000000000000000000000000000000..babf1efb9e7377cd88b565947209565c0cae0d21 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_573.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalba_splitaf +echo "above deepspeed$" +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/tokenizer573/ +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//finalba_splitaf \ + --output-prefix $FINAL_DIR/tokenizer573/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_574.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_574.sh new file mode 100644 index 0000000000000000000000000000000000000000..5e804ff3f7f5510fa951818ebbf8fb9614c437aa --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_574.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbb_splitaa +echo "above deepspeed$" +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/tokenizer574/ +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_splitaa \ + --output-prefix $FINAL_DIR/tokenizer574/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_583.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_583.sh new file mode 100644 index 0000000000000000000000000000000000000000..52791ff7b74cc99bcd7e0b700617973225be077a --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_583.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbb_splitac_splitad +echo "above deepspeed$" +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/tokenizer583/ +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_splitad \ + --output-prefix $FINAL_DIR/tokenizer583/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_584.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_584.sh new file mode 100644 index 0000000000000000000000000000000000000000..c46d52370f103dcc53299096ac9ac2ebc51de5d8 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_584.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbb_splitac_splitae +echo "above deepspeed$" +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/tokenizer584/ +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_splitae \ + --output-prefix $FINAL_DIR/tokenizer584/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_592.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_592.sh new file mode 100644 index 0000000000000000000000000000000000000000..b884f15fcc33dd86a1f003aaff96306fdb83aa23 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_592.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbb_splitae_splitac +echo "above deepspeed$" +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/tokenizer592/ +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_splitac \ + --output-prefix $FINAL_DIR/tokenizer592/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_596.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_596.sh new file mode 100644 index 0000000000000000000000000000000000000000..57b077b145a164adf30f93c5bb1e529fb04ef5fb --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_596.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbc_splitaa_splitaa +echo "above deepspeed$" +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/tokenizer596/ +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//finalbc_splitaa_splitaa \ + --output-prefix $FINAL_DIR/tokenizer596/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_629.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_629.sh new file mode 100644 index 0000000000000000000000000000000000000000..575a20502b111aa0a2966a8284e8fa3729018725 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_629.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbd_splitac_splitab +echo "above deepspeed$" +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/tokenizer629/ +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//finalbd_splitac_splitab \ + --output-prefix $FINAL_DIR/tokenizer629/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_630.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_630.sh new file mode 100644 index 0000000000000000000000000000000000000000..7a1a26a06d3302a1f6a995e5df7f18ff1e990cb9 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_630.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbd_splitac_splitac +echo "above deepspeed$" +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/tokenizer630/ +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//finalbd_splitac_splitac \ + --output-prefix $FINAL_DIR/tokenizer630/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_635.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_635.sh new file mode 100644 index 0000000000000000000000000000000000000000..471239e994a081ba52126230d4a378521d1e4bdc --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_635.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbd_splitaf +echo "above deepspeed$" +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/tokenizer635/ +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//finalbd_splitaf \ + --output-prefix $FINAL_DIR/tokenizer635/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_644.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_644.sh new file mode 100644 index 0000000000000000000000000000000000000000..50627ed68f1b62d3b62ecddde0b1844db943e9d9 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_644.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbe_splitac_splitac +echo "above deepspeed$" +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/tokenizer644/ +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_splitac \ + --output-prefix $FINAL_DIR/tokenizer644/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_649.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_649.sh new file mode 100644 index 0000000000000000000000000000000000000000..d8201906ce64751054c226a303773fd619772f04 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_649.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbe_splitad_splitac +echo "above deepspeed$" +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/tokenizer649/ +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_splitad_splitac \ + --output-prefix $FINAL_DIR/tokenizer649/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_652.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_652.sh new file mode 100644 index 0000000000000000000000000000000000000000..5c9c13e06f16e5150b3af63a86f5709985071ddc --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_652.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbe_splitae_splitaa +echo "above deepspeed$" +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/tokenizer652/ +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_splitae_splitaa \ + --output-prefix $FINAL_DIR/tokenizer652/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_672.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_672.sh new file mode 100644 index 0000000000000000000000000000000000000000..11a86fcb59fdacf0da9a0cccf0e45ffeeb1c9886 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_672.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbf_splitac_splitae +echo "above deepspeed$" +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/tokenizer672/ +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_splitac_splitae \ + --output-prefix $FINAL_DIR/tokenizer672/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_678.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_678.sh new file mode 100644 index 0000000000000000000000000000000000000000..965f139001a2a7a28132d21e6d7747d392d2cc05 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_678.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbf_splitae_splitaa +echo "above deepspeed$" +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/tokenizer678/ +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_splitaa \ + --output-prefix $FINAL_DIR/tokenizer678/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_688.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_688.sh new file mode 100644 index 0000000000000000000000000000000000000000..b6e8339b3dd36e75122a4b369c2ea04575cb281b --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_688.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbg_splitac_splitac +echo "above deepspeed$" +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/tokenizer688/ +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_splitac \ + --output-prefix $FINAL_DIR/tokenizer688/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_697.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_697.sh new file mode 100644 index 0000000000000000000000000000000000000000..62f03910096e0e9aa6644654409ef5c649eb6a89 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_697.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbg_splitae_splitab +echo "above deepspeed$" +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/tokenizer697/ +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_splitae_splitab \ + --output-prefix $FINAL_DIR/tokenizer697/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_706.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_706.sh new file mode 100644 index 0000000000000000000000000000000000000000..26bda9ad672d7ff54df39df10e98a92d8f36dbb2 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_706.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbh_splitaa_splitae +echo "above deepspeed$" +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/tokenizer706/ +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_splitaa_splitae \ + --output-prefix $FINAL_DIR/tokenizer706/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_718.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_718.sh new file mode 100644 index 0000000000000000000000000000000000000000..e78c9680588db11fb52fd2af9588baca94a61fce --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_718.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbh_splitad_splitab +echo "above deepspeed$" +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/tokenizer718/ +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_splitab \ + --output-prefix $FINAL_DIR/tokenizer718/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_733.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_733.sh new file mode 100644 index 0000000000000000000000000000000000000000..299cd78ad4773709626c131c9f95d8bf4324c02c --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_733.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbi_splitab +echo "above deepspeed$" +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/tokenizer733/ +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_splitab \ + --output-prefix $FINAL_DIR/tokenizer733/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_738.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_738.sh new file mode 100644 index 0000000000000000000000000000000000000000..675b14c0d605b55a154d35017aaa51580731cc48 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_738.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbi_splitae_splitab +echo "above deepspeed$" +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/tokenizer738/ +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_splitab \ + --output-prefix $FINAL_DIR/tokenizer738/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_74.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_74.sh new file mode 100644 index 0000000000000000000000000000000000000000..2275ed625f5a5346ad922a2dde0412c9176ac72c --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_74.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalad_splitad_splitab +echo "above deepspeed$" +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/tokenizer74/ +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_splitad_splitab \ + --output-prefix $FINAL_DIR/tokenizer74/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_740.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_740.sh new file mode 100644 index 0000000000000000000000000000000000000000..f1a8c9c705fcac62b496b95839cae50acfe519e3 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_740.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbi_splitae_splitad +echo "above deepspeed$" +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/tokenizer740/ +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_splitad \ + --output-prefix $FINAL_DIR/tokenizer740/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_749.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_749.sh new file mode 100644 index 0000000000000000000000000000000000000000..cccc9d8418d6c93cd4f96eb21dbb31af0fed6b41 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_749.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbj_splitab_splitab +echo "above deepspeed$" +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/tokenizer749/ +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_splitab \ + --output-prefix $FINAL_DIR/tokenizer749/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_761.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_761.sh new file mode 100644 index 0000000000000000000000000000000000000000..6115671b0ffb9d102888dc229bfcc0d62bb2a726 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_761.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbj_splitad_splitad +echo "above deepspeed$" +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/tokenizer761/ +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_splitad_splitad \ + --output-prefix $FINAL_DIR/tokenizer761/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_772.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_772.sh new file mode 100644 index 0000000000000000000000000000000000000000..af5eacb93a0956ffdfb2f4fe16d8369fc43188a0 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_772.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbk_splitaa_splitad +echo "above deepspeed$" +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/tokenizer772/ +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_splitaa_splitad \ + --output-prefix $FINAL_DIR/tokenizer772/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_799.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_799.sh new file mode 100644 index 0000000000000000000000000000000000000000..ca67f3fb6e60f4620a118c77a3207945d36608b7 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_799.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbl_splitaa_splitae +echo "above deepspeed$" +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/tokenizer799/ +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_splitaa_splitae \ + --output-prefix $FINAL_DIR/tokenizer799/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_805.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_805.sh new file mode 100644 index 0000000000000000000000000000000000000000..34cd4d33e7ac8204083c34c79a27dcadddf2d31a --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_805.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbl_splitac_splitaa +echo "above deepspeed$" +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/tokenizer805/ +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_splitaa \ + --output-prefix $FINAL_DIR/tokenizer805/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_815.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_815.sh new file mode 100644 index 0000000000000000000000000000000000000000..f20bc868d2e7bba98334478a019da6d1765939f5 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_815.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbl_splitae +echo "above deepspeed$" +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/tokenizer815/ +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_splitae \ + --output-prefix $FINAL_DIR/tokenizer815/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_833.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_833.sh new file mode 100644 index 0000000000000000000000000000000000000000..53a075558ee7a03ce1c41e56d57d5f9c8207503c --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_833.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbm_splitae +echo "above deepspeed$" +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/tokenizer833/ +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_splitae \ + --output-prefix $FINAL_DIR/tokenizer833/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_834.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_834.sh new file mode 100644 index 0000000000000000000000000000000000000000..ec01e65f07bd7130d29f4aa50ac75a6f54e91744 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_834.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalbm_splitaf +echo "above deepspeed$" +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/tokenizer834/ +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_splitaf \ + --output-prefix $FINAL_DIR/tokenizer834/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_9.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_9.sh new file mode 100644 index 0000000000000000000000000000000000000000..109673c8229922bce8456e4876b8c293959019e3 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_9.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalaa_splitab_splitae +echo "above deepspeed$" +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/tokenizer9/ +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_splitab_splitae \ + --output-prefix $FINAL_DIR/tokenizer9/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_91.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_91.sh new file mode 100644 index 0000000000000000000000000000000000000000..ab92c4cde5a0757a7fa868a6a2834fd2abc668b6 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_91.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalae_splitab_splitac +echo "above deepspeed$" +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/tokenizer91/ +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_splitab_splitac \ + --output-prefix $FINAL_DIR/tokenizer91/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_94.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_94.sh new file mode 100644 index 0000000000000000000000000000000000000000..ebf19b71e58e54232c70cfa063380d66bb7de27e --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_94.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalae_splitac_splitaa +echo "above deepspeed$" +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/tokenizer94/ +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_splitac_splitaa \ + --output-prefix $FINAL_DIR/tokenizer94/ \ + --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 $MERGES_FILE \ + diff --git a/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_96.sh b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_96.sh new file mode 100644 index 0000000000000000000000000000000000000000..3c607e50c17e08b769dc5e3486302608417f1f57 --- /dev/null +++ b/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_96.sh @@ -0,0 +1,25 @@ +#!/bin/bash +set -m +sed -i -e "s/raw_content/text/g" /mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/split//finalae_splitac_splitac +echo "above deepspeed$" +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/tokenizer96/ +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_splitac_splitac \ + --output-prefix $FINAL_DIR/tokenizer96/ \ + --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 \ +