File size: 1,804 Bytes
d42172a 19fae6f d42172a 19fae6f d42172a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
export CORES=`grep -c ^processor /proc/cpuinfo`
export XLA_PYTHON_CLIENT_PREALLOCATE=false
export HF_PROJECT="byt5-small-dutch-english"
export DATASET="yhavinga/mc4_nl_cleaned"
export DATASET_CONFIG="tiny_en_nl" # Config of the dataset in the Huggingface Hub
export DATASET_SPLIT="train" # Split to use for training tokenizer and model
export CONFIG_NAME="google/byt5-small"
export TOKENIZER_NAME="google/byt5-small"
export MODEL_PATH="${HOME}/data/${HF_PROJECT}" # Path to the model
mkdir -p "${MODEL_PATH}"
python ../train/run_t5_mlm_flax_pmap.py \
--output_dir="${MODEL_PATH}" \
--model_type="t5" \
--config_name="${CONFIG_NAME}" \
--tokenizer_name="${TOKENIZER_NAME}" \
--preprocessing_num_workers="${CORES}" \
--do_train --do_eval \
--dataset_name="${DATASET}" \
--dataset_config_name="${DATASET_CONFIG}" \
--max_seq_length="1024" \
--per_device_train_batch_size="16" \
--per_device_eval_batch_size="16" \
--gradient_accumulation_steps="8" \
--mean_noise_span_length="20" \
--dtype="bfloat16" \
--z_loss="1e-4" \
--optim="adafactor" \
--learning_rate="0.0034" \
--lr_decay="linear" \
--overwrite_output_dir \
--num_train_epochs="2" \
--logging_steps="20" \
--save_steps="1000" \
--eval_steps="1000" \
--warmup_steps="300" \
--validation_split_count="15000" \
--wandb_project="byt5-small-dutch-english" \
--wandb_job_type="pmap"
# \
# --max_train_samples="160000" \
# --max_eval_samples="1000" \
# --model_name_or_path="${MODEL_PATH}" \
# --resume_from_checkpoint="${MODEL_PATH}" \
# \
# --lr_decay="exponential" \
# --lr_transition_steps="400000" \
# --lr_decay_rate="0.7" \
# --lr_staircase="false" \
# --auth_token="$(cat ~/.huggingface/token)" \
|