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bertin-base-stepwise-exp-512seqlen

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bertin-base-stepwise-exp-512seqlen / run_stream.512.log
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Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1286/50000 [29:40<20:20:20, 1.50s/it]
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2021-07-26 00:12:24.148625: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
[00:12:25] - WARNING - __main__ - Process rank: -1, device: cpu, n_gpu: 0distributed training: False, 16-bits training: False
[00:12:25] - INFO - __main__ - Training/evaluation parameters TrainingArguments(
_n_gpu=0,
adafactor=False,
adam_beta1=0.9,
adam_beta2=0.98,
adam_epsilon=1e-06,
dataloader_drop_last=False,
dataloader_num_workers=0,
dataloader_pin_memory=True,
ddp_find_unused_parameters=None,
debug=[],
deepspeed=None,
disable_tqdm=False,
do_eval=False,
do_predict=False,
do_train=False,
eval_accumulation_steps=None,
eval_steps=1000,
evaluation_strategy=IntervalStrategy.NO,
fp16=False,
fp16_backend=auto,
fp16_full_eval=False,
fp16_opt_level=O1,
gradient_accumulation_steps=1,
greater_is_better=None,
group_by_length=False,
ignore_data_skip=False,
label_names=None,
label_smoothing_factor=0.0,
learning_rate=0.0006,
length_column_name=length,
load_best_model_at_end=False,
local_rank=-1,
log_level=-1,
log_level_replica=-1,
log_on_each_node=True,
logging_dir=./outputs/runs/Jul26_00-12-25_tablespoon,
logging_first_step=False,
logging_steps=500,
logging_strategy=IntervalStrategy.STEPS,
lr_scheduler_type=SchedulerType.LINEAR,
max_grad_norm=1.0,
max_steps=-1,
metric_for_best_model=None,
mp_parameters=,
no_cuda=False,
num_train_epochs=3.0,
output_dir=./outputs,
overwrite_output_dir=True,
past_index=-1,
per_device_eval_batch_size=48,
per_device_train_batch_size=48,
prediction_loss_only=False,
push_to_hub=False,
push_to_hub_model_id=outputs,
push_to_hub_organization=None,
push_to_hub_token=None,
remove_unused_columns=True,
report_to=['tensorboard', 'wandb'],
resume_from_checkpoint=None,
run_name=./outputs,
save_on_each_node=False,
save_steps=1000,
save_strategy=IntervalStrategy.STEPS,
save_total_limit=5,
seed=42,
sharded_ddp=[],
skip_memory_metrics=True,
tpu_metrics_debug=False,
tpu_num_cores=None,
use_legacy_prediction_loop=False,
warmup_ratio=0.0,
warmup_steps=500,
weight_decay=0.01,
)
[00:12:26] - WARNING - __main__ - Unable to load local dataset with perplexity sampling support. Using huggingface.co/datasets/bertin-project/mc4-es-sampled: BuilderConfig Mc4EsSampledConfig(name='stepwise', version='0.0.0', data_dir=None, data_files={}, description=None) doesn't have a 'boundaries' key.
[00:12:27] - INFO - absl - Starting the local TPU driver.
[00:12:27] - INFO - absl - Unable to initialize backend 'tpu_driver': Not found: Unable to find driver in registry given worker: local://
[00:12:27] - INFO - absl - Unable to initialize backend 'gpu': Not found: Could not find registered platform with name: "cuda". Available platform names are: TPU Interpreter Host
wandb: Currently logged in as: versae (use `wandb login --relogin` to force relogin)
wandb: wandb version 0.11.0 is available! To upgrade, please run:
wandb: $ pip install wandb --upgrade
2021-07-26 00:12:34.440423: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
wandb: Tracking run with wandb version 0.10.33
wandb: Syncing run amber-galaxy-46
wandb: View project at https://wandb.ai/wandb/hf-flax-bertin-roberta-es
wandb: View run at https://wandb.ai/wandb/hf-flax-bertin-roberta-es/runs/17u6inbn
wandb: Run data is saved locally in /var/hf/experiment-base-exp-512seq-stepwise/wandb/run-20210726_001233-17u6inbn
wandb: Run `wandb offline` to turn off syncing.
2021-07-26 00:12:35.575266: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2021-07-26 00:12:35.575304: W tensorflow/stream_executor/cuda/cuda_driver.cc:326] failed call to cuInit: UNKNOWN ERROR (303)
[00:12:36] - INFO - filelock - Lock 139656499698272 acquired on /home/versae/.cache/huggingface/transformers/27b7e968d2908b27f8c1df265c2dc08aef61be0f25bdc735df4df552829968fd.04a8293889c44bb7f31a5ee6212b8aa0b690121444e9c7ce1616fbe2a461ebba.lock
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[00:12:43] - INFO - filelock - Lock 139656499698272 released on /home/versae/.cache/huggingface/transformers/27b7e968d2908b27f8c1df265c2dc08aef61be0f25bdc735df4df552829968fd.04a8293889c44bb7f31a5ee6212b8aa0b690121444e9c7ce1616fbe2a461ebba.lock
/var/hf/venv/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(
/var/hf/venv/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(
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(500 | Loss: 1.8920137882232666, Learning Rate: 0.0006000000284984708)
Step... (1000 | Loss: 1.8785834312438965, Learning Rate: 0.0005939393886364996)
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Evaluating ...: 86%|█████████████████████████████████████████████████████████████████████████████████▊ | 112/130 [00:27<00:03, 4.59it/s]
Evaluating ...: 87%|██████████████████████████████████████████████████████████████████████████████████▌ | 113/130 [00:27<00:03, 4.60it/s]
Evaluating ...: 88%|███████████████████████████████████████████████████████████████████████████████████▎ | 114/130 [00:27<00:03, 4.60it/s]
Evaluating ...: 88%|████████████████████████████████████████████████████████████████████████████████████ | 115/130 [00:28<00:03, 4.60it/s]
Evaluating ...: 89%|████████████████████████████████████████████████████████████████████████████████████▊ | 116/130 [00:28<00:03, 4.59it/s]
Evaluating ...: 90%|█████████████████████████████████████████████████████████████████████████████████████▌ | 117/130 [00:28<00:02, 4.60it/s]
Evaluating ...: 91%|██████████████████████████████████████████████████████████████████████████████████████▏ | 118/130 [00:28<00:02, 4.60it/s]
Evaluating ...: 92%|██████████████████████████████████████████████████████████████████████████████████████▉ | 119/130 [00:28<00:02, 4.59it/s]
Evaluating ...: 92%|███████████████████████████████████████████████████████████████████████████████████████▋ | 120/130 [00:29<00:02, 4.60it/s]
Evaluating ...: 93%|████████████████████████████████████████████████████████████████████████████████████████▍ | 121/130 [00:29<00:01, 4.60it/s]
Evaluating ...: 94%|█████████████████████████████████████████████████████████████████████████████████████████▏ | 122/130 [00:29<00:01, 4.59it/s]
Evaluating ...: 95%|█████████████████████████████████████████████████████████████████████████████████████████▉ | 123/130 [00:29<00:01, 4.60it/s]
Evaluating ...: 95%|██████████████████████████████████████████████████████████████████████████████████████████▌ | 124/130 [00:30<00:01, 4.59it/s]
Evaluating ...: 96%|███████████████████████████████████████████████████████████████████████████████████████████▎ | 125/130 [00:30<00:01, 4.60it/s]
Evaluating ...: 97%|████████████████████████████████████████████████████████████████████████████████████████████ | 126/130 [00:30<00:00, 4.59it/s]
Evaluating ...: 98%|████████████████████████████████████████████████████████████████████████████████████████████▊ | 127/130 [00:30<00:00, 4.60it/s]
Evaluating ...: 98%|█████████████████████████████████████████████████████████████████████████████████████████████▌ | 128/130 [00:30<00:00, 4.60it/s]
Evaluating ...: 99%|██████████████████████████████████████████████████████████████████████████████████████████████▎| 129/130 [00:31<00:00, 4.59it/s]
Evaluating ...: 100%|███████████████████████████████████████████████████████████████████████████████████████████████| 130/130 [00:31<00:00, 4.59it/s] Evaluating ...: 100%|███████████████████████████████████████████████████████████████████████████████████████████████| 130/130 [00:31<00:00, 4.15it/s]
[02:30:54] - INFO - __main__ - Saving checkpoint at 1000 steps
/var/hf/transformers-orig/src/transformers/modeling_flax_pytorch_utils.py:201: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:180.)
pt_model_dict[flax_key] = torch.from_numpy(flax_tensor)
All Flax model weights were used when initializing RobertaForMaskedLM.
Some weights of RobertaForMaskedLM were not initialized from the Flax model and are newly initialized: ['lm_head.decoder.weight', 'roberta.embeddings.position_ids', 'lm_head.decoder.bias']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
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(1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1225/50000 [28:18<16:33:00, 1.22s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1226/50000 [28:19<16:22:15, 1.21s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1227/50000 [28:20<16:59:53, 1.25s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1228/50000 [28:22<17:14:11, 1.27s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1229/50000 [28:23<17:45:52, 1.31s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1230/50000 [28:25<19:32:24, 1.44s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1231/50000 [28:26<17:58:14, 1.33s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1232/50000 [28:27<18:02:26, 1.33s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1233/50000 [28:28<17:10:10, 1.27s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1234/50000 [28:30<16:44:39, 1.24s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1235/50000 [28:30<15:16:26, 1.13s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1236/50000 [28:32<16:47:09, 1.24s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1237/50000 [28:33<16:20:59, 1.21s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1238/50000 [28:34<16:37:06, 1.23s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1239/50000 [28:36<17:39:08, 1.30s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1240/50000 [28:37<16:56:03, 1.25s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1241/50000 [28:38<15:59:30, 1.18s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1242/50000 [28:39<15:28:19, 1.14s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1243/50000 [28:40<14:58:20, 1.11s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1244/50000 [28:41<16:01:37, 1.18s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1245/50000 [28:43<19:20:24, 1.43s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1246/50000 [28:46<23:28:35, 1.73s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1247/50000 [28:47<21:47:38, 1.61s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1248/50000 [28:49<20:41:03, 1.53s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1249/50000 [28:50<19:57:28, 1.47s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 2%|▊ | 1250/50000 [28:51<18:37:03, 1.37s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1251/50000 [28:52<18:33:34, 1.37s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1252/50000 [28:54<17:41:20, 1.31s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1253/50000 [28:55<17:35:22, 1.30s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1254/50000 [28:56<17:19:14, 1.28s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1255/50000 [28:57<16:09:50, 1.19s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1256/50000 [28:58<16:25:40, 1.21s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1257/50000 [29:00<16:32:51, 1.22s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1258/50000 [29:01<17:23:58, 1.29s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1259/50000 [29:05<27:16:31, 2.01s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1260/50000 [29:06<24:04:04, 1.78s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1261/50000 [29:07<21:16:19, 1.57s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1262/50000 [29:08<19:39:06, 1.45s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1263/50000 [29:09<18:35:18, 1.37s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1264/50000 [29:10<17:28:21, 1.29s/it] Step... 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(1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1273/50000 [29:21<15:27:27, 1.14s/it] Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 3%|▊ | 1274/50000 [29:25<27:59:00, 2.07s/it]