update all

config.json

@@ -4,7 +4,7 @@
   ],
   "attention_probs_dropout_prob": 0.1,
   "attention_type": "block_sparse",
-  "block_size": 128,
+  "block_size": 64,
   "bos_token_id": 1,
   "eos_token_id": 2,
   "gradient_checkpointing": false,

events.out.tfevents.1626299647.t1v-n-f5c06ea1-w-0.587396.3.v2

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+size 40

events.out.tfevents.1626301159.t1v-n-f5c06ea1-w-0.592040.3.v2

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+oid sha256:9b87389b3d84fa4c5e66f3f568af52dc3799c8e93ecd1c17d2757563eadf4b8a
+size 40

events.out.tfevents.1626301759.t1v-n-f5c06ea1-w-0.595290.3.v2

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+oid sha256:7151f4506f8d7e2790068211ea6067e529caadb072896f77702e4e393e69bc8b
+size 40

events.out.tfevents.1626302399.t1v-n-f5c06ea1-w-0.597542.3.v2

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+oid sha256:c317581746aa1f2878b10cfdd0724ead65d7384dc0003909dc09986654f0ca6d
+size 40

events.out.tfevents.1626303499.t1v-n-f5c06ea1-w-0.600323.3.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:610b4725be7ba71faaadd24b5aa839e67235b0b211a2bf6c4d1da48931051a45
+size 40

run.sh

@@ -10,12 +10,12 @@ python ./run_mlm_flax.py \
     --tokenizer_name="./" \
     --max_seq_length="4096" \
     --weight_decay="0.0095" \
-    --warmup_steps="5000" \
+    --warmup_steps="10000" \
     --overwrite_output_dir \
     --adam_beta1="0.9" \
     --adam_beta2="0.98" \
-    --logging_steps="250" \
-    --eval_steps="500" \
+    --logging_steps="500" \
+    --eval_steps="20000" \
     --num_train_epochs="5" \
     --preprocessing_num_workers="96" \
     --save_steps="20000" \
@@ -23,9 +23,9 @@ python ./run_mlm_flax.py \
     --per_device_train_batch_size="2" \
     --per_device_eval_batch_size="2" \
     --save_total_limit="5"\
-    --max_eval_samples="500"\
+    --max_eval_samples="2000"\
     --overwrite_cache False \
-    --gradient_accumulation_steps="4" \
+    --gradient_accumulation_steps="8" \
     #--resume_from_checkpoint="./"\
     #--adafactor \
     #--dtype="bfloat16" \

run_mlm_flax.py

@@ -33,6 +33,8 @@ from typing import Dict, List, Optional, Tuple
 import numpy as np
 from datasets import load_dataset, DatasetDict
 from tqdm import tqdm
+from optax import clip_by_global_norm
+
 
 import flax
 import jax
@@ -55,11 +57,13 @@ from transformers import (
     set_seed,
 )
 import json
-from flax.training import checkpoints
+import shutil
+
 from flax.jax_utils import unreplicate
 from flax.training.checkpoints import save_checkpoint, restore_checkpoint
 from importlib.util import find_spec
 from flax.serialization import to_bytes, from_bytes
+import jax.profiler
 
 MODEL_CONFIG_CLASSES = list(FLAX_MODEL_FOR_MASKED_LM_MAPPING.keys())
 MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES)
@@ -275,6 +279,35 @@ def write_eval_metric(summary_writer, eval_metrics, step):
         summary_writer.scalar(f"eval_{metric_name}", value, step)
 
 
+# utils
+def mb_item(x):
+    return x.item() if hasattr(x, "item") else x
+
+#checkpoint functions
+def save_model_checkpoint(model, save_dir, state, with_opt:bool=True, push_to_hub:bool=False):
+    """
+    If `push_to_hub` is True, will save to `save_dir`. Otherwise will save to `save_dir/ckpt-{step}`.
+    """
+    state = jax_utils.unreplicate(state)
+    logger.info(f"SAVING CHECKPOINT IN {save_dir}...")
+    if not push_to_hub:
+        save_dir = f"{save_dir}/ckpt-{mb_item(state.step)-1}"
+    model.save_pretrained(
+        save_dir,
+        params=state.params,
+        push_to_hub=push_to_hub,
+        commit_message=f"Saving weights and logs at step {mb_item(state.step)-1}",
+    )
+    if with_opt:
+        with open(os.path.join(save_dir, "opt_state.msgpack"), "wb") as f:
+            f.write(to_bytes(state.opt_state))
+        with open(os.path.join(save_dir, "training_state.json"), "w") as f:
+            json.dump({"step": state.step.item()}, f)
+    logger.info("checkpoint saved")
+
+# this is added to make resuming from checkpoint to work with adafactor
+# to be removed when issue is fixed
+# notice that adafactor state is perturbed by fake_update
 def _zeros_tree_like(inp_tree):
     return jax.tree_map(jnp.zeros_like, inp_tree)
 
@@ -291,8 +324,11 @@ def fake_update(state):
 def reinstantiate_states(opt_state):
     new_state = []
     for state in opt_state:
-        cls = getattr(optax, type(state).__name__)
-        new_state.append(cls(**{k:getattr(state, k) for k in state._fields}))
+        if isinstance(state, list):
+            new_state.append(reinstantiate_states(state))
+        else:
+            cls = getattr(optax, type(state).__name__)
+            new_state.append(cls(**{k:getattr(state, k) for k in state._fields}))
     return new_state
 
 def restore_model_checkpoint(save_dir, state):
@@ -318,27 +354,6 @@ def restore_model_checkpoint(save_dir, state):
 
     return state.replace(step=step, params=params, opt_state=opt_state)
 
-def save_model_checkpoint(model, save_dir, state, with_opt:bool=True, push_to_hub:bool=False):
-    """
-    If `push_to_hub` is True, will save to `save_dir`. Otherwise will save to `save_dir/ckpt-{step}`.
-    """
-    state = jax_utils.unreplicate(state)
-    logger.info(f"SAVING CHECKPOINT IN {save_dir}...")
-    if not push_to_hub:
-        save_dir = f"{save_dir}/ckpt-{mb_item(state.step)-1}"
-    model.save_pretrained(
-        save_dir,
-        params=state.params,
-        push_to_hub=push_to_hub,
-        commit_message=f"Saving weights and logs at step {mb_item(state.step)-1}",
-    )
-    if with_opt:
-        with open(os.path.join(save_dir, "opt_state.msgpack"), "wb") as f:
-            f.write(to_bytes(state.opt_state))
-        with open(os.path.join(save_dir, "training_state.json"), "w") as f:
-            json.dump({"step": state.step.item()}, f)
-    logger.info("checkpoint saved")
-
 def rotate_checkpoints(ckpt_dir:str, save_total_limit:int):
     "Removes older checkpoints so that `save_total_limit` checkpoints are kept"
     # TODO: what to remove is decided using step number only, we might want to improve that
@@ -351,7 +366,6 @@ def rotate_checkpoints(ckpt_dir:str, save_total_limit:int):
         shutil.rmtree(ckpt)
 
 
-
 if __name__ == "__main__":
     # See all possible arguments in src/transformers/training_args.py
     # or by passing the --help flag to this script.
@@ -513,7 +527,7 @@ if __name__ == "__main__":
         tokenized_datasets = DatasetDict.load_from_disk("/data/tokenized_data")
         logger.info("Setting max validation examples to ")
         print(f"Number of validation examples {data_args.max_eval_samples}")
-        tokenized_datasets["train"]= tokenized_datasets["train"].select(range(20000))
+        #tokenized_datasets["train"]= tokenized_datasets["train"].select(range(20000))
         if data_args.max_eval_samples is not None:
             tokenized_datasets["validation"] = tokenized_datasets["validation"].select(range(data_args.max_eval_samples))
     else:
@@ -687,7 +701,6 @@ if __name__ == "__main__":
             learning_rate=linear_decay_lr_schedule_fn,
         )
     else:
-        from optax import clip_by_global_norm
         optimizer = optax.adamw(
             learning_rate=linear_decay_lr_schedule_fn,
             b1=training_args.adam_beta1,
@@ -777,7 +790,8 @@ if __name__ == "__main__":
     steps_per_epoch = len(tokenized_datasets["train"]) // train_batch_size
     resume_epoch = resume_step // (steps_per_epoch * grad_accum_steps)
     epochs = tqdm(range(num_epochs), desc=f"Epoch ... ({resume_epoch+1}/{num_epochs})", position=0)
-    logger.info(f"Skipping to epoch {resume_epoch} step {resume_step // grad_accum_steps}")
+    if resume_step != 0:
+        logger.info(f"Skipping to epoch {resume_epoch} step {resume_step // grad_accum_steps}")
     for epoch in epochs:
         # ======================== Training ================================
         train_start = time.time()

wandb/debug-internal.log

@@ -1 +1 @@
-run-20210714_213944-3j6d3fy2/logs/debug-internal.log
+run-20210714_225820-1dpoijkp/logs/debug-internal.log

wandb/debug.log

@@ -1 +1 @@
-run-20210714_213944-3j6d3fy2/logs/debug.log
+run-20210714_225820-1dpoijkp/logs/debug.log

wandb/latest-run

@@ -1 +1 @@
-run-20210714_213944-3j6d3fy2
+run-20210714_225820-1dpoijkp

wandb/run-20210714_215408-3kpvz8se/files/config.yaml

@@ -0,0 +1,307 @@
+wandb_version: 1
+
+_wandb:
+  desc: null
+  value:
+    cli_version: 0.10.33
+    framework: huggingface
+    huggingface_version: 4.9.0.dev0
+    is_jupyter_run: false
+    is_kaggle_kernel: false
+    python_version: 3.8.10
+    t:
+      1:
+      - 3
+      - 11
+      2:
+      - 3
+      - 11
+      4: 3.8.10
+      5: 0.10.33
+      6: 4.9.0.dev0
+      8:
+      - 5
+adafactor:
+  desc: null
+  value: false
+adam_beta1:
+  desc: null
+  value: 0.9
+adam_beta2:
+  desc: null
+  value: 0.98
+adam_epsilon:
+  desc: null
+  value: 1.0e-08
+cache_dir:
+  desc: null
+  value: null
+config_name:
+  desc: null
+  value: ./
+dataloader_drop_last:
+  desc: null
+  value: false
+dataloader_num_workers:
+  desc: null
+  value: 0
+dataloader_pin_memory:
+  desc: null
+  value: true
+dataset_config_name:
+  desc: null
+  value: null
+dataset_name:
+  desc: null
+  value: null
+ddp_find_unused_parameters:
+  desc: null
+  value: null
+debug:
+  desc: null
+  value: []
+deepspeed:
+  desc: null
+  value: null
+disable_tqdm:
+  desc: null
+  value: false
+do_eval:
+  desc: null
+  value: false
+do_predict:
+  desc: null
+  value: false
+do_train:
+  desc: null
+  value: false
+dtype:
+  desc: null
+  value: float32
+eval_accumulation_steps:
+  desc: null
+  value: null
+eval_steps:
+  desc: null
+  value: 500
+evaluation_strategy:
+  desc: null
+  value: IntervalStrategy.NO
+fp16:
+  desc: null
+  value: false
+fp16_backend:
+  desc: null
+  value: auto
+fp16_full_eval:
+  desc: null
+  value: false
+fp16_opt_level:
+  desc: null
+  value: O1
+gradient_accumulation_steps:
+  desc: null
+  value: 2
+greater_is_better:
+  desc: null
+  value: null
+group_by_length:
+  desc: null
+  value: false
+ignore_data_skip:
+  desc: null
+  value: false
+label_names:
+  desc: null
+  value: null
+label_smoothing_factor:
+  desc: null
+  value: 0.0
+learning_rate:
+  desc: null
+  value: 5.0e-05
+length_column_name:
+  desc: null
+  value: length
+line_by_line:
+  desc: null
+  value: false
+load_best_model_at_end:
+  desc: null
+  value: false
+local_rank:
+  desc: null
+  value: -1
+log_level:
+  desc: null
+  value: -1
+log_level_replica:
+  desc: null
+  value: -1
+log_on_each_node:
+  desc: null
+  value: true
+logging_dir:
+  desc: null
+  value: ./runs/Jul14_21-54-01_t1v-n-f5c06ea1-w-0
+logging_first_step:
+  desc: null
+  value: false
+logging_steps:
+  desc: null
+  value: 250
+logging_strategy:
+  desc: null
+  value: IntervalStrategy.STEPS
+lr_scheduler_type:
+  desc: null
+  value: SchedulerType.LINEAR
+max_eval_samples:
+  desc: null
+  value: 500
+max_grad_norm:
+  desc: null
+  value: 1.0
+max_seq_length:
+  desc: null
+  value: 4096
+max_steps:
+  desc: null
+  value: -1
+metric_for_best_model:
+  desc: null
+  value: null
+mlm_probability:
+  desc: null
+  value: 0.15
+model_name_or_path:
+  desc: null
+  value: null
+model_type:
+  desc: null
+  value: big_bird
+mp_parameters:
+  desc: null
+  value: ''
+no_cuda:
+  desc: null
+  value: false
+num_train_epochs:
+  desc: null
+  value: 5.0
+output_dir:
+  desc: null
+  value: ./
+overwrite_cache:
+  desc: null
+  value: false
+overwrite_output_dir:
+  desc: null
+  value: true
+pad_to_max_length:
+  desc: null
+  value: false
+past_index:
+  desc: null
+  value: -1
+per_device_eval_batch_size:
+  desc: null
+  value: 2
+per_device_train_batch_size:
+  desc: null
+  value: 2
+per_gpu_eval_batch_size:
+  desc: null
+  value: null
+per_gpu_train_batch_size:
+  desc: null
+  value: null
+prediction_loss_only:
+  desc: null
+  value: false
+preprocessing_num_workers:
+  desc: null
+  value: 96
+push_to_hub:
+  desc: null
+  value: true
+push_to_hub_model_id:
+  desc: null
+  value: ''
+push_to_hub_organization:
+  desc: null
+  value: null
+push_to_hub_token:
+  desc: null
+  value: null
+remove_unused_columns:
+  desc: null
+  value: true
+report_to:
+  desc: null
+  value:
+  - tensorboard
+  - wandb
+resume_from_checkpoint:
+  desc: null
+  value: ./
+run_name:
+  desc: null
+  value: ./
+save_on_each_node:
+  desc: null
+  value: false
+save_optimizer:
+  desc: null
+  value: true
+save_steps:
+  desc: null
+  value: 20000
+save_strategy:
+  desc: null
+  value: IntervalStrategy.STEPS
+save_total_limit:
+  desc: null
+  value: 5
+seed:
+  desc: null
+  value: 42
+sharded_ddp:
+  desc: null
+  value: []
+skip_memory_metrics:
+  desc: null
+  value: true
+tokenizer_name:
+  desc: null
+  value: ./
+tpu_metrics_debug:
+  desc: null
+  value: false
+tpu_num_cores:
+  desc: null
+  value: null
+train_ref_file:
+  desc: null
+  value: null
+use_fast_tokenizer:
+  desc: null
+  value: true
+use_legacy_prediction_loop:
+  desc: null
+  value: false
+validation_ref_file:
+  desc: null
+  value: null
+validation_split_percentage:
+  desc: null
+  value: 5
+warmup_ratio:
+  desc: null
+  value: 0.0
+warmup_steps:
+  desc: null
+  value: 5000
+weight_decay:
+  desc: null
+  value: 0.0095

wandb/run-20210714_215408-3kpvz8se/files/output.log

@@ -0,0 +1,15 @@
+[21:54:22] - INFO - absl - A polynomial schedule was set with a non-positive `transition_steps` value; this results in a constant schedule with value `init_value`.
+/home/dat/pino/lib/python3.8/site-packages/jax/_src/numpy/lax_numpy.py:3132: UserWarning: Explicitly requested dtype <class 'jax._src.numpy.lax_numpy.int64'> requested in zeros is not available, and will be truncated to dtype int32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/google/jax#current-gotchas for more.
+  lax._check_user_dtype_supported(dtype, "zeros")
+[21:54:23] - INFO - __main__ - RESTORING CHECKPOINT FROM ./...
+tcmalloc: large alloc 1530273792 bytes == 0xd9eda000 @  0x7f6c0ba41680 0x7f6c0ba62824 0x5f7b11 0x648631 0x5c38e6 0x4f30e6 0x64ee88 0x505653 0x56acb6 0x568d9a 0x5f5b33 0x56aadf 0x568d9a 0x68cdc7 0x67e161 0x67e1df 0x67e281 0x67e627 0x6b6e62 0x6b71ed 0x7f6c0b8560b3 0x5f96de
+restoring state of multisteps optimizer
+[21:54:26] - INFO - __main__ - checkpoint restored
+Traceback (most recent call last):
+  File "./run_mlm_flax.py", line 712, in <module>
+    state = restore_model_checkpoint(training_args.resume_from_checkpoint, state)
+  File "./run_mlm_flax.py", line 314, in restore_model_checkpoint
+    inner_opt_state = reinstantiate_states(opt_state.inner_opt_state)
+  File "./run_mlm_flax.py", line 294, in reinstantiate_states
+    cls = getattr(optax, type(state).__name__)
+AttributeError: module 'optax' has no attribute 'list'

wandb/run-20210714_215408-3kpvz8se/files/requirements.txt

@@ -0,0 +1,94 @@
+absl-py==0.13.0
+aiohttp==3.7.4.post0
+astunparse==1.6.3
+async-timeout==3.0.1
+attrs==21.2.0
+cachetools==4.2.2
+certifi==2021.5.30
+chardet==4.0.0
+charset-normalizer==2.0.1
+chex==0.0.8
+click==8.0.1
+configparser==5.0.2
+cycler==0.10.0
+datasets==1.9.1.dev0
+dill==0.3.4
+dm-tree==0.1.6
+docker-pycreds==0.4.0
+filelock==3.0.12
+flatbuffers==1.12
+flax==0.3.4
+fsspec==2021.7.0
+gast==0.4.0
+gitdb==4.0.7
+gitpython==3.1.18
+google-auth-oauthlib==0.4.4
+google-auth==1.32.1
+google-pasta==0.2.0
+grpcio==1.34.1
+h5py==3.1.0
+huggingface-hub==0.0.12
+idna==3.2
+install==1.3.4
+jax==0.2.17
+jaxlib==0.1.68
+joblib==1.0.1
+keras-nightly==2.5.0.dev2021032900
+keras-preprocessing==1.1.2
+kiwisolver==1.3.1
+libtpu-nightly==0.1.dev20210615
+markdown==3.3.4
+matplotlib==3.4.2
+msgpack==1.0.2
+multidict==5.1.0
+multiprocess==0.70.12.2
+numpy==1.19.5
+oauthlib==3.1.1
+opt-einsum==3.3.0
+optax==0.0.9
+packaging==21.0
+pandas==1.3.0
+pathtools==0.1.2
+pillow==8.3.1
+pip==20.0.2
+pkg-resources==0.0.0
+promise==2.3
+protobuf==3.17.3
+psutil==5.8.0
+pyarrow==4.0.1
+pyasn1-modules==0.2.8
+pyasn1==0.4.8
+pyparsing==2.4.7
+python-dateutil==2.8.1
+pytz==2021.1
+pyyaml==5.4.1
+regex==2021.7.6
+requests-oauthlib==1.3.0
+requests==2.26.0
+rsa==4.7.2
+sacremoses==0.0.45
+scipy==1.7.0
+sentry-sdk==1.3.0
+setuptools==44.0.0
+shortuuid==1.0.1
+six==1.15.0
+smmap==4.0.0
+subprocess32==3.5.4
+tensorboard-data-server==0.6.1
+tensorboard-plugin-wit==1.8.0
+tensorboard==2.5.0
+tensorflow-estimator==2.5.0
+tensorflow==2.5.0
+termcolor==1.1.0
+tokenizers==0.10.3
+toolz==0.11.1
+tqdm==4.61.2
+transformers==4.9.0.dev0
+typing-extensions==3.7.4.3
+urllib3==1.26.6
+wandb==0.10.33
+werkzeug==2.0.1
+wheel==0.36.2
+wrapt==1.12.1
+xxhash==2.0.2
+yarl==1.6.3

wandb/run-20210714_215408-3kpvz8se/files/wandb-metadata.json

@@ -0,0 +1,48 @@
+{
+    "os": "Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29",
+    "python": "3.8.10",
+    "heartbeatAt": "2021-07-14T21:54:10.349764",
+    "startedAt": "2021-07-14T21:54:08.359450",
+    "docker": null,
+    "cpu_count": 96,
+    "cuda": null,
+    "args": [
+        "--push_to_hub",
+        "--output_dir=./",
+        "--model_type=big_bird",
+        "--config_name=./",
+        "--tokenizer_name=./",
+        "--max_seq_length=4096",
+        "--weight_decay=0.0095",
+        "--warmup_steps=5000",
+        "--overwrite_output_dir",
+        "--adam_beta1=0.9",
+        "--adam_beta2=0.98",
+        "--logging_steps=250",
+        "--eval_steps=500",
+        "--num_train_epochs=5",
+        "--preprocessing_num_workers=96",
+        "--save_steps=20000",
+        "--learning_rate=5e-5",
+        "--per_device_train_batch_size=2",
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+    ],
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+    "codePath": "run_mlm_flax.py",
+    "git": {
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+        "commit": "de71755314d4aa3ab182072c6f0be3de9798a66b"
+    },
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+    "host": "t1v-n-f5c06ea1-w-0",
+    "username": "dat",
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+}

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+2021-07-14 21:54:10,399 INFO    MainThread:587396 [wandb_run.py:_config_callback():872] config_cb None None {'output_dir': './', 'overwrite_output_dir': True, 'do_train': False, 'do_eval': False, 'do_predict': False, 'evaluation_strategy': 'IntervalStrategy.NO', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 2, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 2, 'eval_accumulation_steps': None, 'learning_rate': 5e-05, 'weight_decay': 0.0095, 'adam_beta1': 0.9, 'adam_beta2': 0.98, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 5.0, 'max_steps': -1, 'lr_scheduler_type': 'SchedulerType.LINEAR', 'warmup_ratio': 0.0, 'warmup_steps': 5000, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/Jul14_21-54-01_t1v-n-f5c06ea1-w-0', 'logging_strategy': 'IntervalStrategy.STEPS', 'logging_first_step': False, 'logging_steps': 250, 'save_strategy': 'IntervalStrategy.STEPS', 'save_steps': 20000, 'save_total_limit': 5, 'save_on_each_node': False, 'no_cuda': False, 'seed': 42, 'fp16': False, 'fp16_opt_level': 'O1', 'fp16_backend': 'auto', 'fp16_full_eval': False, 'local_rank': -1, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 500, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': './', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'sharded_ddp': [], 'deepspeed': None, 'label_smoothing_factor': 0.0, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': './', 'push_to_hub_model_id': '', 'push_to_hub_organization': None, 'push_to_hub_token': None, 'mp_parameters': ''}
+2021-07-14 21:54:10,401 INFO    MainThread:587396 [wandb_run.py:_config_callback():872] config_cb None None {'model_name_or_path': None, 'model_type': 'big_bird', 'config_name': './', 'tokenizer_name': './', 'cache_dir': None, 'use_fast_tokenizer': True, 'dtype': 'float32', 'save_optimizer': True}
+2021-07-14 21:54:10,402 INFO    MainThread:587396 [wandb_run.py:_config_callback():872] config_cb None None {'dataset_name': None, 'dataset_config_name': None, 'train_ref_file': None, 'validation_ref_file': None, 'overwrite_cache': False, 'validation_split_percentage': 5, 'max_seq_length': 4096, 'preprocessing_num_workers': 96, 'mlm_probability': 0.15, 'pad_to_max_length': False, 'line_by_line': False, 'max_eval_samples': 500}
+2021-07-14 21:54:26,346 INFO    MainThread:587396 [wandb_run.py:_atexit_cleanup():1593] got exitcode: 1
+2021-07-14 21:54:26,347 INFO    MainThread:587396 [wandb_run.py:_restore():1565] restore
+2021-07-14 21:54:29,081 INFO    MainThread:587396 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 1483
+  total_bytes: 1483
+}
+
+2021-07-14 21:54:29,300 INFO    MainThread:587396 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 1483
+  total_bytes: 1483
+}
+
+2021-07-14 21:54:30,248 INFO    MainThread:587396 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 2
+}
+pusher_stats {
+  uploaded_bytes: 1483
+  total_bytes: 3133
+}
+
+2021-07-14 21:54:30,351 INFO    MainThread:587396 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 1483
+  total_bytes: 9257
+}
+
+2021-07-14 21:54:30,452 INFO    MainThread:587396 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 9257
+  total_bytes: 9257
+}
+
+2021-07-14 21:54:30,554 INFO    MainThread:587396 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 9257
+  total_bytes: 9257
+}
+
+2021-07-14 21:54:30,656 INFO    MainThread:587396 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 9257
+  total_bytes: 9257
+}
+
+2021-07-14 21:54:30,757 INFO    MainThread:587396 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 9257
+  total_bytes: 9257
+}
+
+2021-07-14 21:54:30,859 INFO    MainThread:587396 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 9257
+  total_bytes: 9257
+}
+
+2021-07-14 21:54:30,961 INFO    MainThread:587396 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 9257
+  total_bytes: 9257
+}
+
+2021-07-14 21:54:31,093 INFO    MainThread:587396 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 9257
+  total_bytes: 9257
+}
+
+2021-07-14 21:54:31,196 INFO    MainThread:587396 [wandb_run.py:_wait_for_finish():1715] got exit ret: done: true
+exit_result {
+}
+file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 9257
+  total_bytes: 9257
+}
+
+2021-07-14 21:54:32,452 INFO    MainThread:587396 [wandb_run.py:_show_files():1937] logging synced files

wandb/run-20210714_221920-s091gfok/files/config.yaml

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+wandb_version: 1
+
+_wandb:
+  desc: null
+  value:
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+    framework: huggingface
+    huggingface_version: 4.9.0.dev0
+    is_jupyter_run: false
+    is_kaggle_kernel: false
+    python_version: 3.8.10
+    t:
+      1:
+      - 3
+      - 11
+      2:
+      - 3
+      - 11
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+  value: 0.98
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+  value: 1.0e-08
+cache_dir:
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+  value: null
+config_name:
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+  value: ./
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+  value: 0
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+  value: true
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+  value: null
+dataset_name:
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+  value: null
+ddp_find_unused_parameters:
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+  value: null
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+  value: []
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+do_predict:
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+  value: false
+dtype:
+  desc: null
+  value: float32
+eval_accumulation_steps:
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+  value: null
+eval_steps:
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+  value: 20000
+evaluation_strategy:
+  desc: null
+  value: IntervalStrategy.NO
+fp16:
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+fp16_backend:
+  desc: null
+  value: auto
+fp16_full_eval:
+  desc: null
+  value: false
+fp16_opt_level:
+  desc: null
+  value: O1
+gradient_accumulation_steps:
+  desc: null
+  value: 2
+greater_is_better:
+  desc: null
+  value: null
+group_by_length:
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+ignore_data_skip:
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+label_names:
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+  value: null
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+  value: 0.0
+learning_rate:
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+  value: 5.0e-05
+length_column_name:
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+  value: length
+line_by_line:
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+load_best_model_at_end:
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+  value: false
+local_rank:
+  desc: null
+  value: -1
+log_level:
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+  value: -1
+log_level_replica:
+  desc: null
+  value: -1
+log_on_each_node:
+  desc: null
+  value: true
+logging_dir:
+  desc: null
+  value: ./runs/Jul14_22-19-13_t1v-n-f5c06ea1-w-0
+logging_first_step:
+  desc: null
+  value: false
+logging_steps:
+  desc: null
+  value: 500
+logging_strategy:
+  desc: null
+  value: IntervalStrategy.STEPS
+lr_scheduler_type:
+  desc: null
+  value: SchedulerType.LINEAR
+max_eval_samples:
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+  value: 2000
+max_grad_norm:
+  desc: null
+  value: 1.0
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+  value: 4096
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+  value: -1
+metric_for_best_model:
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+  value: null
+mlm_probability:
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+  value: 0.15
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+  desc: null
+  value: null
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+  desc: null
+  value: big_bird
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+  desc: null
+  value: ''
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+  value: ./
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+  value: 2
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+  value: null
+per_gpu_train_batch_size:
+  desc: null
+  value: null
+prediction_loss_only:
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+  value: false
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+  value: 96
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+  desc: null
+  value: true
+push_to_hub_model_id:
+  desc: null
+  value: ''
+push_to_hub_organization:
+  desc: null
+  value: null
+push_to_hub_token:
+  desc: null
+  value: null
+remove_unused_columns:
+  desc: null
+  value: true
+report_to:
+  desc: null
+  value:
+  - tensorboard
+  - wandb
+resume_from_checkpoint:
+  desc: null
+  value: null
+run_name:
+  desc: null
+  value: ./
+save_on_each_node:
+  desc: null
+  value: false
+save_optimizer:
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+  value: true
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+  value: 20000
+save_strategy:
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+  value: IntervalStrategy.STEPS
+save_total_limit:
+  desc: null
+  value: 5
+seed:
+  desc: null
+  value: 42
+sharded_ddp:
+  desc: null
+  value: []
+skip_memory_metrics:
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+  value: true
+tokenizer_name:
+  desc: null
+  value: ./
+tpu_metrics_debug:
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+  value: false
+tpu_num_cores:
+  desc: null
+  value: null
+train_ref_file:
+  desc: null
+  value: null
+use_fast_tokenizer:
+  desc: null
+  value: true
+use_legacy_prediction_loop:
+  desc: null
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+  value: null
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+  value: 5
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wandb/run-20210714_221920-s091gfok/files/output.log

@@ -0,0 +1,39 @@
+/home/dat/pino/lib/python3.8/site-packages/jax/_src/numpy/lax_numpy.py:3132: UserWarning: Explicitly requested dtype <class 'jax._src.numpy.lax_numpy.int64'> requested in zeros is not available, and will be truncated to dtype int32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/google/jax#current-gotchas for more.
+  lax._check_user_dtype_supported(dtype, "zeros")
+/home/dat/pino/lib/python3.8/site-packages/jax/lib/xla_bridge.py:386: UserWarning: jax.host_count has been renamed to jax.process_count. This alias will eventually be removed; please update your code.
+  warnings.warn(
+/home/dat/pino/lib/python3.8/site-packages/jax/lib/xla_bridge.py:373: UserWarning: jax.host_id has been renamed to jax.process_index. This alias will eventually be removed; please update your code.
+  warnings.warn(
+Epoch ... (1/5):   0%|                                    | 0/5 [00:00<?, ?it/s][22:19:36] - INFO - __main__ - Skipping to epoch 0 step 0
+Training...:   0%|                                   | 0/503952 [01:21<?, ?it/s]
+Epoch ... (1/5):   0%|                                    | 0/5 [09:12<?, ?it/s]
+Traceback (most recent call last):
+  File "./run_mlm_flax.py", line 804, in <module>
+    state, train_metric, dropout_rngs = p_train_step(state, model_inputs, dropout_rngs)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 183, in reraise_with_filtered_traceback
+    return fun(*args, **kwargs)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/_src/api.py", line 1669, in f_pmapped
+    out = pxla.xla_pmap(
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 1620, in bind
+    return call_bind(self, fun, *args, **params)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 1551, in call_bind
+    outs = primitive.process(top_trace, fun, tracers, params)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 1623, in process
+    return trace.process_map(self, fun, tracers, params)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 606, in process_call
+    return primitive.impl(f, *tracers, **params)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 637, in xla_pmap_impl
+    return compiled_fun(*args)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 1159, in execute_replicated
+    out_bufs = compiled.execute_sharded_on_local_devices(input_bufs)
+jax._src.traceback_util.UnfilteredStackTrace: RuntimeError: Resource exhausted: Attempting to reserve 12.60G at the bottom of memory. That was not possible. There are 5.86G free, 0B reserved, and 5.65G reservable.: while running replica 0 and partition 0 of a replicated computation (other replicas may have failed as well).
+The stack trace below excludes JAX-internal frames.
+The preceding is the original exception that occurred, unmodified.
+--------------------
+The above exception was the direct cause of the following exception:
+Traceback (most recent call last):
+  File "./run_mlm_flax.py", line 804, in <module>
+    state, train_metric, dropout_rngs = p_train_step(state, model_inputs, dropout_rngs)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 1159, in execute_replicated
+    out_bufs = compiled.execute_sharded_on_local_devices(input_bufs)
+RuntimeError: Resource exhausted: Attempting to reserve 12.60G at the bottom of memory. That was not possible. There are 5.86G free, 0B reserved, and 5.65G reservable.: while running replica 0 and partition 0 of a replicated computation (other replicas may have failed as well).

wandb/run-20210714_221920-s091gfok/files/requirements.txt

@@ -0,0 +1,94 @@
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+aiohttp==3.7.4.post0
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+flatbuffers==1.12
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+install==1.3.4
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+keras-preprocessing==1.1.2
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+pkg-resources==0.0.0
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+protobuf==3.17.3
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+pyasn1-modules==0.2.8
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+requests-oauthlib==1.3.0
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+sentry-sdk==1.3.0
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+shortuuid==1.0.1
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+smmap==4.0.0
+subprocess32==3.5.4
+tensorboard-data-server==0.6.1
+tensorboard-plugin-wit==1.8.0
+tensorboard==2.5.0
+tensorflow-estimator==2.5.0
+tensorflow==2.5.0
+termcolor==1.1.0
+tokenizers==0.10.3
+toolz==0.11.1
+tqdm==4.61.2
+transformers==4.9.0.dev0
+typing-extensions==3.7.4.3
+urllib3==1.26.6
+wandb==0.10.33
+werkzeug==2.0.1
+wheel==0.36.2
+wrapt==1.12.1
+xxhash==2.0.2
+yarl==1.6.3

wandb/run-20210714_221920-s091gfok/files/wandb-metadata.json

@@ -0,0 +1,47 @@
+{
+    "os": "Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29",
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+    "heartbeatAt": "2021-07-14T22:19:22.632871",
+    "startedAt": "2021-07-14T22:19:20.670815",
+    "docker": null,
+    "cpu_count": 96,
+    "cuda": null,
+    "args": [
+        "--push_to_hub",
+        "--output_dir=./",
+        "--model_type=big_bird",
+        "--config_name=./",
+        "--tokenizer_name=./",
+        "--max_seq_length=4096",
+        "--weight_decay=0.0095",
+        "--warmup_steps=5000",
+        "--overwrite_output_dir",
+        "--adam_beta1=0.9",
+        "--adam_beta2=0.98",
+        "--logging_steps=500",
+        "--eval_steps=20000",
+        "--num_train_epochs=5",
+        "--preprocessing_num_workers=96",
+        "--save_steps=20000",
+        "--learning_rate=5e-5",
+        "--per_device_train_batch_size=2",
+        "--per_device_eval_batch_size=2",
+        "--save_total_limit=5",
+        "--max_eval_samples=2000",
+        "--overwrite_cache",
+        "False",
+        "--gradient_accumulation_steps=2"
+    ],
+    "state": "running",
+    "program": "./run_mlm_flax.py",
+    "codePath": "run_mlm_flax.py",
+    "git": {
+        "remote": "https://huggingface.co/flax-community/pino-roberta-base",
+        "commit": "de71755314d4aa3ab182072c6f0be3de9798a66b"
+    },
+    "email": null,
+    "root": "/home/dat/pino-roberta-base",
+    "host": "t1v-n-f5c06ea1-w-0",
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+}

wandb/run-20210714_221920-s091gfok/files/wandb-summary.json

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wandb/run-20210714_221920-s091gfok/logs/debug.log

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+2021-07-14 22:19:22,685 INFO    MainThread:592040 [wandb_run.py:_config_callback():872] config_cb None None {'dataset_name': None, 'dataset_config_name': None, 'train_ref_file': None, 'validation_ref_file': None, 'overwrite_cache': False, 'validation_split_percentage': 5, 'max_seq_length': 4096, 'preprocessing_num_workers': 96, 'mlm_probability': 0.15, 'pad_to_max_length': False, 'line_by_line': False, 'max_eval_samples': 2000}
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+  wandb_count: 1
+}
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+}
+
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+}
+pusher_stats {
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+}
+
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+}
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+  total_bytes: 11398
+}
+
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+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 1447
+  total_bytes: 11400
+}
+
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+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11400
+  total_bytes: 11400
+}
+
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+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11400
+  total_bytes: 11400
+}
+
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+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11400
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+}
+
+2021-07-14 22:28:52,265 INFO    MainThread:592040 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11400
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+}
+
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+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11400
+  total_bytes: 11400
+}
+
+2021-07-14 22:28:52,537 INFO    MainThread:592040 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11400
+  total_bytes: 11400
+}
+
+2021-07-14 22:28:52,639 INFO    MainThread:592040 [wandb_run.py:_wait_for_finish():1715] got exit ret: done: true
+exit_result {
+}
+file_counts {
+  wandb_count: 5
+}
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+  total_bytes: 11400
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+
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wandb/run-20210714_222920-2p7mu4rm/files/config.yaml

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+wandb_version: 1
+
+_wandb:
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+  value:
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+    framework: huggingface
+    huggingface_version: 4.9.0.dev0
+    is_jupyter_run: false
+    is_kaggle_kernel: false
+    python_version: 3.8.10
+    t:
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+      - 11
+      2:
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+      - 11
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+  value: 0.9
+adam_beta2:
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+  value: 0.98
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+  value: 1.0e-08
+cache_dir:
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+  value: null
+config_name:
+  desc: null
+  value: ./
+dataloader_drop_last:
+  desc: null
+  value: false
+dataloader_num_workers:
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+  value: 0
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+  value: true
+dataset_config_name:
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+  value: null
+dataset_name:
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+  value: null
+ddp_find_unused_parameters:
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+  value: null
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+  value: []
+deepspeed:
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+  value: null
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+  value: false
+dtype:
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+  value: float32
+eval_accumulation_steps:
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+  value: null
+eval_steps:
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+  value: 20000
+evaluation_strategy:
+  desc: null
+  value: IntervalStrategy.NO
+fp16:
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+  value: false
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+  value: auto
+fp16_full_eval:
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+  value: false
+fp16_opt_level:
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+  value: O1
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+  value: 4
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+  desc: null
+  value: null
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+  value: false
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+  value: null
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+  value: 0.0
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+  value: 5.0e-05
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+  value: length
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+  value: false
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+  value: false
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+  value: -1
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+  value: -1
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+  value: -1
+log_on_each_node:
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+  value: true
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+  value: ./runs/Jul14_22-29-13_t1v-n-f5c06ea1-w-0
+logging_first_step:
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+  value: false
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+  value: 500
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+  value: ''
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+  value:
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wandb/run-20210714_222920-2p7mu4rm/files/output.log

@@ -0,0 +1,39 @@
+/home/dat/pino/lib/python3.8/site-packages/jax/_src/numpy/lax_numpy.py:3132: UserWarning: Explicitly requested dtype <class 'jax._src.numpy.lax_numpy.int64'> requested in zeros is not available, and will be truncated to dtype int32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/google/jax#current-gotchas for more.
+  lax._check_user_dtype_supported(dtype, "zeros")
+/home/dat/pino/lib/python3.8/site-packages/jax/lib/xla_bridge.py:386: UserWarning: jax.host_count has been renamed to jax.process_count. This alias will eventually be removed; please update your code.
+  warnings.warn(
+/home/dat/pino/lib/python3.8/site-packages/jax/lib/xla_bridge.py:373: UserWarning: jax.host_id has been renamed to jax.process_index. This alias will eventually be removed; please update your code.
+  warnings.warn(
+Epoch ... (1/5):   0%|                                                                      | 0/5 [00:00<?, ?it/s][22:29:35] - INFO - __main__ - Skipping to epoch 0 step 0
+Training...:   0%|                                                                     | 0/503952 [01:24<?, ?it/s]
+Epoch ... (1/5):   0%|                                                                      | 0/5 [09:07<?, ?it/s]
+Traceback (most recent call last):
+  File "./run_mlm_flax.py", line 804, in <module>
+    state, train_metric, dropout_rngs = p_train_step(state, model_inputs, dropout_rngs)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 183, in reraise_with_filtered_traceback
+    return fun(*args, **kwargs)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/_src/api.py", line 1669, in f_pmapped
+    out = pxla.xla_pmap(
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 1620, in bind
+    return call_bind(self, fun, *args, **params)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 1551, in call_bind
+    outs = primitive.process(top_trace, fun, tracers, params)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 1623, in process
+    return trace.process_map(self, fun, tracers, params)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 606, in process_call
+    return primitive.impl(f, *tracers, **params)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 637, in xla_pmap_impl
+    return compiled_fun(*args)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 1159, in execute_replicated
+    out_bufs = compiled.execute_sharded_on_local_devices(input_bufs)
+jax._src.traceback_util.UnfilteredStackTrace: RuntimeError: Resource exhausted: Attempting to reserve 12.60G at the bottom of memory. That was not possible. There are 5.86G free, 0B reserved, and 5.65G reservable.: while running replica 0 and partition 0 of a replicated computation (other replicas may have failed as well).
+The stack trace below excludes JAX-internal frames.
+The preceding is the original exception that occurred, unmodified.
+--------------------
+The above exception was the direct cause of the following exception:
+Traceback (most recent call last):
+  File "./run_mlm_flax.py", line 804, in <module>
+    state, train_metric, dropout_rngs = p_train_step(state, model_inputs, dropout_rngs)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 1159, in execute_replicated
+    out_bufs = compiled.execute_sharded_on_local_devices(input_bufs)
+RuntimeError: Resource exhausted: Attempting to reserve 12.60G at the bottom of memory. That was not possible. There are 5.86G free, 0B reserved, and 5.65G reservable.: while running replica 0 and partition 0 of a replicated computation (other replicas may have failed as well).

wandb/run-20210714_222920-2p7mu4rm/files/requirements.txt

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+        "--overwrite_cache",
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+    ],
+    "state": "running",
+    "program": "./run_mlm_flax.py",
+    "codePath": "run_mlm_flax.py",
+    "git": {
+        "remote": "https://huggingface.co/flax-community/pino-roberta-base",
+        "commit": "de71755314d4aa3ab182072c6f0be3de9798a66b"
+    },
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+    "host": "t1v-n-f5c06ea1-w-0",
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wandb/run-20210714_222920-2p7mu4rm/logs/debug.log

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+2021-07-14 22:29:22,561 INFO    MainThread:595290 [wandb_run.py:_config_callback():872] config_cb None None {'model_name_or_path': None, 'model_type': 'big_bird', 'config_name': './', 'tokenizer_name': './', 'cache_dir': None, 'use_fast_tokenizer': True, 'dtype': 'float32', 'save_optimizer': True}
+2021-07-14 22:29:22,562 INFO    MainThread:595290 [wandb_run.py:_config_callback():872] config_cb None None {'dataset_name': None, 'dataset_config_name': None, 'train_ref_file': None, 'validation_ref_file': None, 'overwrite_cache': False, 'validation_split_percentage': 5, 'max_seq_length': 4096, 'preprocessing_num_workers': 96, 'mlm_probability': 0.15, 'pad_to_max_length': False, 'line_by_line': False, 'max_eval_samples': 2000}
+2021-07-14 22:38:43,366 INFO    MainThread:595290 [wandb_run.py:_atexit_cleanup():1593] got exitcode: 1
+2021-07-14 22:38:43,368 INFO    MainThread:595290 [wandb_run.py:_restore():1565] restore
+2021-07-14 22:38:45,826 INFO    MainThread:595290 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 1447
+  total_bytes: 1447
+}
+
+2021-07-14 22:38:46,025 INFO    MainThread:595290 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 1447
+  total_bytes: 1447
+}
+
+2021-07-14 22:38:46,607 INFO    MainThread:595290 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 4
+}
+pusher_stats {
+  uploaded_bytes: 1447
+  total_bytes: 11500
+}
+
+2021-07-14 22:38:46,709 INFO    MainThread:595290 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 1447
+  total_bytes: 11502
+}
+
+2021-07-14 22:38:46,812 INFO    MainThread:595290 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11502
+  total_bytes: 11502
+}
+
+2021-07-14 22:38:46,914 INFO    MainThread:595290 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11502
+  total_bytes: 11502
+}
+
+2021-07-14 22:38:47,016 INFO    MainThread:595290 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11502
+  total_bytes: 11502
+}
+
+2021-07-14 22:38:47,118 INFO    MainThread:595290 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11502
+  total_bytes: 11502
+}
+
+2021-07-14 22:38:47,220 INFO    MainThread:595290 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11502
+  total_bytes: 11502
+}
+
+2021-07-14 22:38:47,940 INFO    MainThread:595290 [wandb_run.py:_wait_for_finish():1715] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11502
+  total_bytes: 11502
+}
+
+2021-07-14 22:38:48,043 INFO    MainThread:595290 [wandb_run.py:_wait_for_finish():1715] got exit ret: done: true
+exit_result {
+}
+file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 11502
+  total_bytes: 11502
+}
+
+2021-07-14 22:38:49,338 INFO    MainThread:595290 [wandb_run.py:_show_files():1937] logging synced files

wandb/run-20210714_224000-1jvvynqa/files/config.yaml

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+
+_wandb:
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+    framework: huggingface
+    huggingface_version: 4.9.0.dev0
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+    is_kaggle_kernel: false
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+    t:
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+  value: null
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+  value: float32
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+  value: 20000
+evaluation_strategy:
+  desc: null
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+fp16:
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+fp16_backend:
+  desc: null
+  value: auto
+fp16_full_eval:
+  desc: null
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+fp16_opt_level:
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+  value: O1
+gradient_accumulation_steps:
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+  value: null
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+  value: -1
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+  value: -1
+log_on_each_node:
+  desc: null
+  value: true
+logging_dir:
+  desc: null
+  value: ./runs/Jul14_22-39-51_t1v-n-f5c06ea1-w-0
+logging_first_step:
+  desc: null
+  value: false
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+  desc: null
+  value: 500
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+  value: ''
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+  value: null
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+  value: 96
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+  desc: null
+  value: true
+push_to_hub_model_id:
+  desc: null
+  value: ''
+push_to_hub_organization:
+  desc: null
+  value: null
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+  desc: null
+  value: null
+remove_unused_columns:
+  desc: null
+  value: true
+report_to:
+  desc: null
+  value:
+  - tensorboard
+  - wandb
+resume_from_checkpoint:
+  desc: null
+  value: null
+run_name:
+  desc: null
+  value: ./
+save_on_each_node:
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+  value: false
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+  value: 20000
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+  desc: null
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+  value: true
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+  desc: null
+  value: ./
+tpu_metrics_debug:
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+  value: false
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+  desc: null
+  value: null
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+  desc: null
+  value: null
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+  value: null
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wandb/run-20210714_224000-1jvvynqa/files/output.log

@@ -0,0 +1,39 @@
+/home/dat/pino/lib/python3.8/site-packages/jax/_src/numpy/lax_numpy.py:3132: UserWarning: Explicitly requested dtype <class 'jax._src.numpy.lax_numpy.int64'> requested in zeros is not available, and will be truncated to dtype int32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/google/jax#current-gotchas for more.
+  lax._check_user_dtype_supported(dtype, "zeros")
+/home/dat/pino/lib/python3.8/site-packages/jax/lib/xla_bridge.py:386: UserWarning: jax.host_count has been renamed to jax.process_count. This alias will eventually be removed; please update your code.
+  warnings.warn(
+/home/dat/pino/lib/python3.8/site-packages/jax/lib/xla_bridge.py:373: UserWarning: jax.host_id has been renamed to jax.process_index. This alias will eventually be removed; please update your code.
+  warnings.warn(
+Epoch ... (1/5):   0%|                                                                                     | 0/5 [00:00<?, ?it/s][22:40:16] - INFO - __main__ - Skipping to epoch 0 step 0
+Training...:   0%|                                                                                    | 0/503952 [01:24<?, ?it/s]
+Epoch ... (1/5):   0%|                                                                                     | 0/5 [09:14<?, ?it/s]
+Traceback (most recent call last):
+  File "./run_mlm_flax.py", line 804, in <module>
+    num_train_samples = len(tokenized_datasets["train"])
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 183, in reraise_with_filtered_traceback
+    return fun(*args, **kwargs)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/_src/api.py", line 1669, in f_pmapped
+    out = pxla.xla_pmap(
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 1620, in bind
+    return call_bind(self, fun, *args, **params)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 1551, in call_bind
+    outs = primitive.process(top_trace, fun, tracers, params)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 1623, in process
+    return trace.process_map(self, fun, tracers, params)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 606, in process_call
+    return primitive.impl(f, *tracers, **params)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 637, in xla_pmap_impl
+    return compiled_fun(*args)
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 1159, in execute_replicated
+    out_bufs = compiled.execute_sharded_on_local_devices(input_bufs)
+jax._src.traceback_util.UnfilteredStackTrace: RuntimeError: Resource exhausted: Attempting to reserve 12.60G at the bottom of memory. That was not possible. There are 5.86G free, 0B reserved, and 5.65G reservable.: while running replica 0 and partition 0 of a replicated computation (other replicas may have failed as well).
+The stack trace below excludes JAX-internal frames.
+The preceding is the original exception that occurred, unmodified.
+--------------------
+The above exception was the direct cause of the following exception:
+Traceback (most recent call last):
+  File "./run_mlm_flax.py", line 804, in <module>
+    num_train_samples = len(tokenized_datasets["train"])
+  File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 1159, in execute_replicated
+    out_bufs = compiled.execute_sharded_on_local_devices(input_bufs)
+RuntimeError: Resource exhausted: Attempting to reserve 12.60G at the bottom of memory. That was not possible. There are 5.86G free, 0B reserved, and 5.65G reservable.: while running replica 0 and partition 0 of a replicated computation (other replicas may have failed as well).

wandb/run-20210714_224000-1jvvynqa/files/requirements.txt

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+werkzeug==2.0.1
+wheel==0.36.2
+wrapt==1.12.1
+xxhash==2.0.2
+yarl==1.6.3

wandb/run-20210714_224000-1jvvynqa/files/wandb-metadata.json

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+    "heartbeatAt": "2021-07-14T22:40:02.351628",
+    "startedAt": "2021-07-14T22:40:00.340218",
+    "docker": null,
+    "cpu_count": 96,
+    "cuda": null,
+    "args": [
+        "--push_to_hub",
+        "--output_dir=./",
+        "--model_type=big_bird",
+        "--config_name=./",
+        "--tokenizer_name=./",
+        "--max_seq_length=4096",
+        "--weight_decay=0.0095",
+        "--warmup_steps=10000",
+        "--overwrite_output_dir",
+        "--adam_beta1=0.9",
+        "--adam_beta2=0.98",
+        "--logging_steps=500",
+        "--eval_steps=20000",
+        "--num_train_epochs=5",
+        "--preprocessing_num_workers=96",
+        "--save_steps=20000",
+        "--learning_rate=5e-5",
+        "--per_device_train_batch_size=2",
+        "--per_device_eval_batch_size=2",
+        "--save_total_limit=5",
+        "--max_eval_samples=2000",
+        "--overwrite_cache",
+        "False",
+        "--gradient_accumulation_steps=8"
+    ],
+    "state": "running",
+    "program": "./run_mlm_flax.py",
+    "codePath": "run_mlm_flax.py",
+    "git": {
+        "remote": "https://huggingface.co/flax-community/pino-roberta-base",
+        "commit": "de71755314d4aa3ab182072c6f0be3de9798a66b"
+    },
+    "email": null,
+    "root": "/home/dat/pino-roberta-base",
+    "host": "t1v-n-f5c06ea1-w-0",
+    "username": "dat",
+    "executable": "/home/dat/pino/bin/python"
+}

wandb/run-20210714_224000-1jvvynqa/files/wandb-summary.json

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wandb/run-20210714_224000-1jvvynqa/logs/debug-internal.log

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wandb/run-20210714_224000-1jvvynqa/logs/debug.log

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+}
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+}
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+}
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+}
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+}
+pusher_stats {
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+}
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+}
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+}
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+}
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+}
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+}
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+
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+exit_result {
+}
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wandb/run-20210714_225820-1dpoijkp/files/config.yaml

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wandb/run-20210714_225820-1dpoijkp/files/requirements.txt

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