yhavinga commited on
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57a0de6
1 Parent(s): 7859b9b

Update logs

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merges.txt ADDED
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run_gpt_neo.sh CHANGED
@@ -5,32 +5,36 @@ export HF_PROJECT="gpt-neo-1.3B-dutch"
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  # Variables for training the tokenizer and creating the config
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  export VOCAB_SIZE="50257"
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  export DATASET="yhavinga/mc4_nl_cleaned" # Name of the dataset in the Huggingface Hub
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- export DATASET_CONFIG="tiny" # Config of the dataset in the Huggingface Hub
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  export DATASET_SPLIT="train" # Split to use for training tokenizer and model
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  export TEXT_FIELD="text" # Field containing the text to be used for training
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  export CONFIG_TYPE="EleutherAI/gpt-neo-1.3B" # Config that our model will use
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  export MODEL_PATH="${HOME}/data/${HF_PROJECT}" # Path to the model, e.g. here inside the mount
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  python run_clm_flax.py \
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  --output_dir="${MODEL_PATH}" \
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  --model_type="gpt_neo" \
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  --config_name="${MODEL_PATH}" \
 
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  --tokenizer_name="${MODEL_PATH}" \
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  --preprocessing_num_workers="96" \
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  --do_train --do_eval \
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  --dataset_name="${DATASET}" \
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  --dataset_config_name="${DATASET_CONFIG}" \
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  --block_size="512" \
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- --per_device_train_batch_size="8" \
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- --per_device_eval_batch_size="8" \
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- --learning_rate="0.0005" --warmup_steps="5000" \
 
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  --adafactor \
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  --overwrite_output_dir \
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  --num_train_epochs="1" \
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  --logging_steps="500" \
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- --save_steps="10000" \
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- --eval_steps="2500"
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  # \
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  # --push_to_hub
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  # --adam_beta1="0.9" --adam_beta2="0.98" --weight_decay="0.01" \
 
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  # Variables for training the tokenizer and creating the config
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  export VOCAB_SIZE="50257"
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  export DATASET="yhavinga/mc4_nl_cleaned" # Name of the dataset in the Huggingface Hub
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+ export DATASET_CONFIG="large" # Config of the dataset in the Huggingface Hub
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  export DATASET_SPLIT="train" # Split to use for training tokenizer and model
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  export TEXT_FIELD="text" # Field containing the text to be used for training
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  export CONFIG_TYPE="EleutherAI/gpt-neo-1.3B" # Config that our model will use
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  export MODEL_PATH="${HOME}/data/${HF_PROJECT}" # Path to the model, e.g. here inside the mount
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+
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  python run_clm_flax.py \
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  --output_dir="${MODEL_PATH}" \
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  --model_type="gpt_neo" \
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  --config_name="${MODEL_PATH}" \
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+ --model_name_or_path="${MODEL_PATH}" \
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  --tokenizer_name="${MODEL_PATH}" \
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  --preprocessing_num_workers="96" \
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  --do_train --do_eval \
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  --dataset_name="${DATASET}" \
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  --dataset_config_name="${DATASET_CONFIG}" \
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  --block_size="512" \
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+ --per_device_train_batch_size="2" \
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+ --per_device_eval_batch_size="2" \
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+ --learning_rate="0.0005" \
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+ --warmup_steps="5000" \
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  --adafactor \
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  --overwrite_output_dir \
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  --num_train_epochs="1" \
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  --logging_steps="500" \
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+ --save_steps="20000" \
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+ --eval_steps="5000"
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  # \
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  # --push_to_hub
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  # --adam_beta1="0.9" --adam_beta2="0.98" --weight_decay="0.01" \
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+ # --learning_rate="0.0005" --warmup_steps="5000" \
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