yhavinga commited on
Commit
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1 Parent(s): 0eeac69
README.md ADDED
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+ See https://wandb.ai/yepster/long-t5-local-base?workspace=user-yepster for
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+ logs
config.json ADDED
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+ {
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+ "_name_or_path": "Stancld/LongT5-Local-Base",
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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+ "d_ff": 2048,
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+ "d_kv": 64,
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+ "d_model": 768,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "gelu_new",
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+ "dropout_rate": 0.1,
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+ "encoder_attention_type": "local",
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "gated-gelu",
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+ "global_block_size": 16,
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": true,
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+ "layer_norm_epsilon": 1e-06,
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+ "local_radius": 127,
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+ "model_type": "longt5",
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+ "n_positions": 4096,
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+ "num_decoder_layers": 12,
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+ "num_heads": 12,
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+ "num_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.21.0",
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+ "use_cache": true,
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+ "vocab_size": 32103
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+ }
eval_results.json ADDED
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+ {
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+ "eval_accuracy": 0.6949323415756226,
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+ "eval_loss": 1.4280986785888672
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+ }
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0b176231b10120578de426a7bcd9e06b3dfb45a2f51f3825b9e5df4e455031f9
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+ size 990170015
run_longt5-local-base-mc4.sh ADDED
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+ export CORES=`grep -c ^processor /proc/cpuinfo`
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+ export XLA_PYTHON_CLIENT_PREALLOCATE=false
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+
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+ export HF_PROJECT="long-t5-local-base-dutch-english"
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+ export DATASET="yhavinga/mc4_nl_cleaned"
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+ export DATASET_CONFIG="tiny_en_nl" # 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 CONFIG_NAME="google/long-t5-local-base"
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+ export TOKENIZER_NAME="yhavinga/t5-small-24L-ccmatrix-multi"
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+ export MODEL_PATH="${HOME}/data/${HF_PROJECT}" # Path to the model
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+
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+ mkdir -p "${MODEL_PATH}"
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+
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+ # from paper:
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+ # batch size 128
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+ # input length 4096 output length 910 output - pegasus style
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+ # for span corruption set to seq length 1024
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+
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+ python ../train/run_t5_mlm_flax_pmap.py \
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+ --output_dir="${MODEL_PATH}" \
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+ --resume_from_checkpoint="${MODEL_PATH}" \
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+ --model_type="longt5" \
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+ --config_name="${CONFIG_NAME}" \
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+ --tokenizer_name="${TOKENIZER_NAME}" \
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+ --preprocessing_num_workers="${CORES}" \
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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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+ --max_seq_length="1024" \
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+ --per_device_train_batch_size="8" \
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+ --per_device_eval_batch_size="8" \
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+ --gradient_accumulation_steps="16" \
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+ --mean_noise_span_length="3" \
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+ --dtype="float32" \
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+ --optim="adafactor" \
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+ --learning_rate="0.005" \
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+ --lr_decay="linear" \
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+ --overwrite_output_dir \
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+ --num_train_epochs="8" \
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+ --logging_steps="20" \
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+ --save_steps="1000" \
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+ --eval_steps="2000" \
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+ --warmup_steps="300" \
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+ --validation_split_count="15000" \
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+ --wandb_project="long-t5-local-base" \
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+ --wandb_job_type="pmap"
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+
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+
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+ # --max_train_samples="160000" \
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+ # --max_eval_samples="1000"
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+
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+ # --model_name_or_path="${MODEL_PATH}" \
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+
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+ # \
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+
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+ # --lr_decay="exponential" \
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+ # --lr_transition_steps="400000" \
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+ # --lr_decay_rate="0.7" \
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+ # --lr_staircase="false" \
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+ # --auth_token="$(cat ~/.huggingface/token)" \
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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training_state.json ADDED
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+ {"step": 896001}