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MODEL_ARGS="pretrained=abeja/gpt-neox-japanese-2.7b" | ||
TASK="jaqket_v2-0.2-0.2,jcommonsenseqa-1.1-0.2,jnli-1.1-0.2,marc_ja-1.1-0.2,jsquad-1.1-0.2,xlsum_ja,jaqket_v2-0.2-0.2" | ||
python main.py --model hf-causal --model_args $MODEL_ARGS --tasks $TASK --num_fewshot "1,2,3,3,3,1,1" --device "cuda" --output_path "models/abeja-gpt-neox-japanese-2.7b/result.json" | ||
TASK="jcommonsenseqa-1.1-0.2,jnli-1.1-0.2,marc_ja-1.1-0.2,jsquad-1.1-0.2,xlsum_ja" | ||
python main.py --model hf-causal --model_args $MODEL_ARGS --tasks $TASK --num_fewshot "2,3,3,3,1" --device "cuda" --output_path "models/abeja-gpt-neox-japanese-2.7b/result.json" |
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3 changes: 0 additions & 3 deletions
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models/cyberagent/cyberagent-open-calm-1b/harness.jaqket_v1.sh
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MODEL_ARGS="pretrained=cyberagent/open-calm-1b" | ||
TASK="jaqket_v2-0.2-0.2,jcommonsenseqa-1.1-0.2,jnli-1.1-0.2,marc_ja-1.1-0.2,jsquad-1.1-0.2,xlsum_ja" | ||
python main.py --model hf-causal --model_args $MODEL_ARGS --tasks $TASK --num_fewshot "1,2,3,3,3,1" --device "cuda" --output_path "models/cyberagent-open-calm-1b/result.json" | ||
TASK="jcommonsenseqa-1.1-0.2,jnli-1.1-0.2,marc_ja-1.1-0.2,jsquad-1.1-0.2,xlsum_ja" | ||
python main.py --model hf-causal --model_args $MODEL_ARGS --tasks $TASK --num_fewshot "2,3,3,3,1" --device "cuda" --output_path "models/cyberagent-open-calm-1b/result.json" |
24 changes: 0 additions & 24 deletions
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models/cyberagent/cyberagent-open-calm-1b/result.jaqket_v1.json
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models/cyberagent/cyberagent-open-calm-3b/harness.jaqket_v1.sh
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models/cyberagent/cyberagent-open-calm-3b/harness.jaqket_v2.sh
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MODEL_ARGS="pretrained=cyberagent/open-calm-3b" | ||
TASK="jcommonsenseqa-1.1-0.2,jnli-1.1-0.2,marc_ja-1.1-0.2,jsquad-1.1-0.2,jaqket_v2-0.2-0.2,xlsum_ja,xwinograd_ja,mgsm" | ||
python main.py --model hf-causal --model_args $MODEL_ARGS --tasks $TASK --num_fewshot "3,3,3,2,1,1,0,5" --device "cuda" --output_path "models/cyberagent/cyberagent-open-calm-3b/result.jaqket_v2.json" | ||
TASK="jcommonsenseqa-1.1-0.2,jnli-1.1-0.2,marc_ja-1.1-0.2,jsquad-1.1-0.2,jaqket_v2-0.1-0.2,xlsum_ja,xwinograd_ja,mgsm" | ||
python main.py --model hf-causal --model_args $MODEL_ARGS --tasks $TASK --num_fewshot "3,3,3,2,1,1,0,5" --device "cuda" --output_path "models/cyberagent/cyberagent-open-calm-3b/result.json" |
24 changes: 0 additions & 24 deletions
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models/cyberagent/cyberagent-open-calm-3b/result.jaqket_v1.json
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3 changes: 0 additions & 3 deletions
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models/cyberagent/cyberagent-open-calm-large/harness.jaqket_v1.sh
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MODEL_ARGS="pretrained=cyberagent/open-calm-large,use_fast=True" | ||
TASK="jaqket_v2-0.2-0.2,jcommonsenseqa-1.1-0.2,jnli-1.1-0.2,marc_ja-1.1-0.2,jsquad-1.1-0.2,xlsum_ja" | ||
python main.py --model hf-causal --model_args $MODEL_ARGS --tasks $TASK --num_fewshot "1,2,3,3,3,1" --device "cuda" --output_path "models/cyberagent-open-calm-large/result.json" | ||
TASK="jcommonsenseqa-1.1-0.2,jnli-1.1-0.2,marc_ja-1.1-0.2,jsquad-1.1-0.2,xlsum_ja" | ||
python main.py --model hf-causal --model_args $MODEL_ARGS --tasks $TASK --num_fewshot "2,3,3,3,1" --device "cuda" --output_path "models/cyberagent-open-calm-large/result.json" |
24 changes: 0 additions & 24 deletions
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models/cyberagent/cyberagent-open-calm-large/result.jaqket_v1.json
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models/cyberagent/cyberagent-open-calm-medium/harness.jaqket_v1.sh
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MODEL_ARGS="pretrained=cyberagent/open-calm-medium,use_fast=True" | ||
TASK="jaqket_v2-0.2-0.2,jcommonsenseqa-1.1-0.2,jnli-1.1-0.2,marc_ja-1.1-0.2,jsquad-1.1-0.2,xlsum_ja" | ||
python main.py --model hf-causal --model_args $MODEL_ARGS --tasks $TASK --num_fewshot "1,2,3,3,3,1" --device "cuda" --output_path "models/cyberagent-open-calm-medium/result.json" | ||
TASK="jcommonsenseqa-1.1-0.2,jnli-1.1-0.2,marc_ja-1.1-0.2,jsquad-1.1-0.2,xlsum_ja" | ||
python main.py --model hf-causal --model_args $MODEL_ARGS --tasks $TASK --num_fewshot "2,3,3,3,1" --device "cuda" --output_path "models/cyberagent-open-calm-medium/result.json" |
24 changes: 0 additions & 24 deletions
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models/cyberagent/cyberagent-open-calm-medium/result.jaqket_v1.json
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