运行文档https://github.com/PaddlePaddle/PaddleTS/blob/main/examples/autots_example.ipynb到autots_model.fit(tsdataset)这一步的时候出现以下报错:
(pid=30292) C:\Users\Administrator\AppData\Roaming\Python\Python38\site-packages\paddlets\automl\searcher.py:4: DeprecationWarning: The module ray.tune.suggest
has been moved to ray.tune.search
and the old location will be deprecated soon. Please adjust your imports to point to the new location. Example: Do a global search and replace ray.tune.suggest
with ray.tune.search
.
(pid=30292) from ray.tune.suggest import BasicVariantGenerator
(pid=30292) C:\Users\Administrator\AppData\Roaming\Python\Python38\site-packages\paddlets\automl\searcher.py:5: DeprecationWarning: The module ray.tune.suggest.optuna
has been moved to ray.tune.search.optuna
and the old location will be deprecated soon. Please adjust your imports to point to the new location. Example: Do a global search and replace ray.tune.suggest.optuna
with ray.tune.search.optuna
.
(pid=30292) from ray.tune.suggest.optuna import OptunaSearch
(pid=30292) C:\Users\Administrator\AppData\Roaming\Python\Python38\site-packages\paddlets\automl\searcher.py:6: DeprecationWarning: The module ray.tune.suggest.flaml
has been moved to ray.tune.search.flaml
and the old location will be deprecated soon. Please adjust your imports to point to the new location. Example: Do a global search and replace ray.tune.suggest.flaml
with ray.tune.search.flaml
.
(pid=30292) from ray.tune.suggest.flaml import CFO
(pid=30292) C:\Users\Administrator\AppData\Roaming\Python\Python38\site-packages\paddlets\automl\searcher.py:8: DeprecationWarning: The module ray.tune.suggest.bohb
has been moved to ray.tune.search.bohb
and the old location will be deprecated soon. Please adjust your imports to point to the new location. Example: Do a global search and replace ray.tune.suggest.bohb
with ray.tune.search.bohb
.
(pid=30292) from ray.tune.suggest.bohb import TuneBOHB
(pid=30292) C:\Users\Administrator\AppData\Roaming\Python\Python38\site-packages\paddlets\automl\search_space_configer.py:8: DeprecationWarning: The module ray.tune.sample
has been moved to ray.tune.search.sample
and the old location will be deprecated soon. Please adjust your imports to point to the new location. Example: Do a global search and replace ray.tune.sample
with ray.tune.search.sample
.
(pid=30292) from ray.tune.sample import Float, Integer, Categorical
(run_trial pid=30292) [2022-11-14 01:01:15,022] [paddlets.automl.optimize_runner] [INFO] trial config: {'hidden_config': 'Choice_0: [64]', 'use_bn': True, 'batch_size': 112, 'max_epochs': 330, 'optimizer_params': {'learning_rate': 0.009473699093873009}, 'patience': 15}
(run_trial pid=30292) [2022-11-14 01:01:15,022] [paddlets.automl.optimize_runner] [INFO] setup_estimator: init model. Params: {'hidden_config': [64], 'use_bn': True, 'batch_size': 112, 'max_epochs': 330, 'optimizer_params': {'learning_rate': 0.009473699093873009}, 'patience': 15, 'in_chunk_len': 96, 'out_chunk_len': 2, 'skip_chunk_len': 0, 'sampling_stride': 1, 'seed': 2022}
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
KeyError Traceback (most recent call last)
~\anaconda3\lib\site-packages\tensorboardX\record_writer.py in open_file(path)
57 prefix = path.split(':')[0]
---> 58 factory = REGISTERED_FACTORIES[prefix]
59 return factory.open(path)
KeyError: 'C'
During handling of the above exception, another exception occurred:
FileNotFoundError Traceback (most recent call last)
~\anaconda3\lib\site-packages\ray\tune\execution\trial_runner.py in _wait_and_handle_event(self, next_trial)
832 if event.type == _ExecutorEventType.PG_READY:
--> 833 self._on_pg_ready(next_trial)
834 elif event.type == _ExecutorEventType.NO_RUNNING_TRIAL_TIMEOUT:
~\anaconda3\lib\site-packages\ray\tune\execution\trial_runner.py in _on_pg_ready(self, next_trial)
922 logger.debug(f"Trying to start trial: {next_trial}")
--> 923 if not _start_trial(next_trial) and next_trial.status != Trial.ERROR:
924 # Only try to start another trial if previous trial startup
~\anaconda3\lib\site-packages\ray\tune\execution\trial_runner.py in _start_trial(trial)
914 if self.trial_executor.start_trial(trial):
--> 915 self._callbacks.on_trial_start(
916 iteration=self._iteration, trials=self._trials, trial=trial
~\anaconda3\lib\site-packages\ray\tune\callback.py in on_trial_start(self, **info)
316 for callback in self._callbacks:
--> 317 callback.on_trial_start(**info)
318
~\anaconda3\lib\site-packages\ray\tune\logger\logger.py in on_trial_start(self, iteration, trials, trial, **info)
134 ):
--> 135 self.log_trial_start(trial)
136
~\anaconda3\lib\site-packages\ray\tune\logger\tensorboardx.py in log_trial_start(self, trial)
178 trial.init_logdir()
--> 179 self._trial_writer[trial] = self._summary_writer_cls(
180 trial.logdir, flush_secs=30
~\anaconda3\lib\site-packages\tensorboardX\writer.py in init(self, logdir, comment, purge_step, max_queue, flush_secs, filename_suffix, write_to_disk, log_dir, comet_config, **kwargs)
300 self.file_writer = self.all_writers = None
--> 301 self._get_file_writer()
302
~\anaconda3\lib\site-packages\tensorboardX\writer.py in _get_file_writer(self)
348 if self.all_writers is None or self.file_writer is None:
--> 349 self.file_writer = FileWriter(logdir=self.logdir,
350 max_queue=self._max_queue,
~\anaconda3\lib\site-packages\tensorboardX\writer.py in init(self, logdir, max_queue, flush_secs, filename_suffix)
104 logdir = str(logdir)
--> 105 self.event_writer = EventFileWriter(
106 logdir, max_queue, flush_secs, filename_suffix)
~\anaconda3\lib\site-packages\tensorboardX\event_file_writer.py in init(self, logdir, max_queue_size, flush_secs, filename_suffix)
105 self._event_queue = multiprocessing.Queue(max_queue_size)
--> 106 self._ev_writer = EventsWriter(os.path.join(
107 self._logdir, "events"), filename_suffix)
~\anaconda3\lib\site-packages\tensorboardX\event_file_writer.py in init(self, file_prefix, filename_suffix)
42 self._num_outstanding_events = 0
---> 43 self._py_recordio_writer = RecordWriter(self._file_name)
44 # Initialize an event instance.
~\anaconda3\lib\site-packages\tensorboardX\record_writer.py in init(self, path)
178 self._writer = None
--> 179 self._writer = open_file(path)
180
~\anaconda3\lib\site-packages\tensorboardX\record_writer.py in open_file(path)
60 except KeyError:
---> 61 return open(path, 'wb')
62
FileNotFoundError: [Errno 2] No such file or directory: 'C:\Users\Administrator\ray_results\run_trial_2022-11-14_01-01-08\run_trial_c88b9bca_2_batch_size=120,hidden_config=Choice_5_128_128_128,max_epochs=180,learning_rate=0.0042,patience=45,use_bn=Fals_2022-11-14_01-01-15\events.out.tfevents.1668358875.SK-20200101ELSU'
During handling of the above exception, another exception occurred:
TuneError Traceback (most recent call last)
in
----> 1 autots_model.fit(tsdataset)
~\AppData\Roaming\Python\Python38\site-packages\paddlets\logger\logger.py in wrapper(*args, **kwargs)
25 logger = Logger(module_name)
26 logger.debug("function:%s" % func_name)
---> 27 result = f(*args, **kwargs)
28 return result
29
~\AppData\Roaming\Python\Python38\site-packages\paddlets\automl\autots.py in fit(self, train_tsdataset, valid_tsdataset, n_trails, cpu_resource, gpu_resource)
205 if valid_tsdataset is None:
206 raise NotImplementedError("When the train_tsdataset is a list, valid_tsdataset is required!")
--> 207 analysis = self._optimize_runner.optimize(self._estimator,
208 self._in_chunk_len,
209 self._out_chunk_len,
~\AppData\Roaming\Python\Python38\site-packages\paddlets\automl\optimize_runner.py in optimize(self, paddlets_estimator, in_chunk_len, out_chunk_len, train_tsdataset, valid_tsdataset, sampling_stride, skip_chunk_len, search_space, metric, mode, resampling_strategy, split_ratio, k_fold, n_trials, cpu_resource, gpu_resource, local_dir)
202 self._track_choice_mapping = self._preprocess_search_space(running_search_space)
203
--> 204 return tune.run(run_trial, num_samples=n_trials, config=running_search_space,
205 metric=self.report_metric,
206 mode=mode,
~\anaconda3\lib\site-packages\ray\tune\tune.py in run(run_or_experiment, name, metric, mode, stop, time_budget_s, config, resources_per_trial, num_samples, local_dir, search_alg, scheduler, keep_checkpoints_num, checkpoint_score_attr, checkpoint_freq, checkpoint_at_end, verbose, progress_reporter, log_to_file, trial_name_creator, trial_dirname_creator, sync_config, export_formats, max_failures, fail_fast, restore, server_port, resume, reuse_actors, trial_executor, raise_on_failed_trial, callbacks, max_concurrent_trials, _experiment_checkpoint_dir, _remote)
739 )
740 while not runner.is_finished() and not state["signal"]:
--> 741 runner.step()
742 if has_verbosity(Verbosity.V1_EXPERIMENT):
743 _report_progress(runner, progress_reporter)
~\anaconda3\lib\site-packages\ray\tune\execution\trial_runner.py in step(self)
884 logger.debug(f"Got new trial to run: {next_trial}")
885
--> 886 self._wait_and_handle_event(next_trial)
887
888 self._stop_experiment_if_needed()
~\anaconda3\lib\site-packages\ray\tune\execution\trial_runner.py in _wait_and_handle_event(self, next_trial)
863 raise e
864 else:
--> 865 raise TuneError(traceback.format_exc())
866
867 def step(self):
TuneError: Traceback (most recent call last):
File "C:\Users\Administrator\anaconda3\lib\site-packages\tensorboardX\record_writer.py", line 58, in open_file
factory = REGISTERED_FACTORIES[prefix]
KeyError: 'C'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\Administrator\anaconda3\lib\site-packages\ray\tune\execution\trial_runner.py", line 833, in _wait_and_handle_event
self._on_pg_ready(next_trial)
File "C:\Users\Administrator\anaconda3\lib\site-packages\ray\tune\execution\trial_runner.py", line 923, in _on_pg_ready
if not _start_trial(next_trial) and next_trial.status != Trial.ERROR:
File "C:\Users\Administrator\anaconda3\lib\site-packages\ray\tune\execution\trial_runner.py", line 915, in _start_trial
self._callbacks.on_trial_start(
File "C:\Users\Administrator\anaconda3\lib\site-packages\ray\tune\callback.py", line 317, in on_trial_start
callback.on_trial_start(**info)
File "C:\Users\Administrator\anaconda3\lib\site-packages\ray\tune\logger\logger.py", line 135, in on_trial_start
self.log_trial_start(trial)
File "C:\Users\Administrator\anaconda3\lib\site-packages\ray\tune\logger\tensorboardx.py", line 179, in log_trial_start
self._trial_writer[trial] = self._summary_writer_cls(
File "C:\Users\Administrator\anaconda3\lib\site-packages\tensorboardX\writer.py", line 301, in init
self._get_file_writer()
File "C:\Users\Administrator\anaconda3\lib\site-packages\tensorboardX\writer.py", line 349, in _get_file_writer
self.file_writer = FileWriter(logdir=self.logdir,
File "C:\Users\Administrator\anaconda3\lib\site-packages\tensorboardX\writer.py", line 105, in init
self.event_writer = EventFileWriter(
File "C:\Users\Administrator\anaconda3\lib\site-packages\tensorboardX\event_file_writer.py", line 106, in init
self._ev_writer = EventsWriter(os.path.join(
File "C:\Users\Administrator\anaconda3\lib\site-packages\tensorboardX\event_file_writer.py", line 43, in init
self._py_recordio_writer = RecordWriter(self._file_name)
File "C:\Users\Administrator\anaconda3\lib\site-packages\tensorboardX\record_writer.py", line 179, in init
self._writer = open_file(path)
File "C:\Users\Administrator\anaconda3\lib\site-packages\tensorboardX\record_writer.py", line 61, in open_file
return open(path, 'wb')
FileNotFoundError: [Errno 2] No such file or directory: 'C:\Users\Administrator\ray_results\run_trial_2022-11-14_01-01-08\run_trial_c88b9bca_2_batch_size=120,hidden_config=Choice_5_128_128_128,max_epochs=180,learning_rate=0.0042,patience=45,use_bn=Fals_2022-11-14_01-01-15\events.out.tfevents.1668358875.SK-20200101ELSU'
(run_trial pid=30292) [2022-11-14 01:01:15,572] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 000| loss: 3.339083| val_0_mae: 0.883445| 0:00:00s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:15,993] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 001| loss: 1.339651| val_0_mae: 0.780203| 0:00:00s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:16,418] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 002| loss: 1.073304| val_0_mae: 0.742995| 0:00:01s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:16,830] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 003| loss: 1.000667| val_0_mae: 0.761179| 0:00:01s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:17,249] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 004| loss: 0.964694| val_0_mae: 0.707594| 0:00:02s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:17,678] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 005| loss: 0.972320| val_0_mae: 0.850871| 0:00:02s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:18,108] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 006| loss: 0.966438| val_0_mae: 0.885582| 0:00:02s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:18,520] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 007| loss: 0.896922| val_0_mae: 0.909875| 0:00:03s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:18,943] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 008| loss: 0.932748| val_0_mae: 0.702189| 0:00:03s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:19,355] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 009| loss: 0.883199| val_0_mae: 0.681072| 0:00:04s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(pid=42476) C:\Users\Administrator\AppData\Roaming\Python\Python38\site-packages\paddlets\automl\searcher.py:4: DeprecationWarning: The module ray.tune.suggest
has been moved to ray.tune.search
and the old location will be deprecated soon. Please adjust your imports to point to the new location. Example: Do a global search and replace ray.tune.suggest
with ray.tune.search
.
(pid=42476) from ray.tune.suggest import BasicVariantGenerator
(run_trial pid=30292) [2022-11-14 01:01:19,774] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 010| loss: 0.942490| val_0_mae: 0.726340| 0:00:04s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(pid=42476) C:\Users\Administrator\AppData\Roaming\Python\Python38\site-packages\paddlets\automl\searcher.py:5: DeprecationWarning: The module ray.tune.suggest.optuna
has been moved to ray.tune.search.optuna
and the old location will be deprecated soon. Please adjust your imports to point to the new location. Example: Do a global search and replace ray.tune.suggest.optuna
with ray.tune.search.optuna
.
(pid=42476) from ray.tune.suggest.optuna import OptunaSearch
(run_trial pid=30292) [2022-11-14 01:01:20,197] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 011| loss: 0.863567| val_0_mae: 0.679934| 0:00:05s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(pid=42476) C:\Users\Administrator\AppData\Roaming\Python\Python38\site-packages\paddlets\automl\searcher.py:6: DeprecationWarning: The module ray.tune.suggest.flaml
has been moved to ray.tune.search.flaml
and the old location will be deprecated soon. Please adjust your imports to point to the new location. Example: Do a global search and replace ray.tune.suggest.flaml
with ray.tune.search.flaml
.
(pid=42476) from ray.tune.suggest.flaml import CFO
(run_trial pid=30292) [2022-11-14 01:01:20,627] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 012| loss: 0.920713| val_0_mae: 0.684235| 0:00:05s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(pid=42476) C:\Users\Administrator\AppData\Roaming\Python\Python38\site-packages\paddlets\automl\searcher.py:8: DeprecationWarning: The module ray.tune.suggest.bohb
has been moved to ray.tune.search.bohb
and the old location will be deprecated soon. Please adjust your imports to point to the new location. Example: Do a global search and replace ray.tune.suggest.bohb
with ray.tune.search.bohb
.
(pid=42476) from ray.tune.suggest.bohb import TuneBOHB
(pid=42476) C:\Users\Administrator\AppData\Roaming\Python\Python38\site-packages\paddlets\automl\search_space_configer.py:8: DeprecationWarning: The module ray.tune.sample
has been moved to ray.tune.search.sample
and the old location will be deprecated soon. Please adjust your imports to point to the new location. Example: Do a global search and replace ray.tune.sample
with ray.tune.search.sample
.
(pid=42476) from ray.tune.sample import Float, Integer, Categorical
(run_trial pid=30292) [2022-11-14 01:01:21,056] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 013| loss: 0.847748| val_0_mae: 0.739015| 0:00:05s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:21,147] [paddlets.automl.optimize_runner] [INFO] trial config: {'hidden_config': 'Choice_5: [128, 128, 128]', 'use_bn': False, 'batch_size': 120, 'max_epochs': 180, 'optimizer_params': {'learning_rate': 0.004155371012314867}, 'patience': 45}
(run_trial pid=42476) [2022-11-14 01:01:21,147] [paddlets.automl.optimize_runner] [INFO] setup_estimator: init model. Params: {'hidden_config': [128, 128, 128], 'use_bn': False, 'batch_size': 120, 'max_epochs': 180, 'optimizer_params': {'learning_rate': 0.004155371012314867}, 'patience': 45, 'in_chunk_len': 96, 'out_chunk_len': 2, 'skip_chunk_len': 0, 'sampling_stride': 1, 'seed': 2022}
(run_trial pid=30292) [2022-11-14 01:01:21,477] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 014| loss: 0.877982| val_0_mae: 0.915531| 0:00:06s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:21,839] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 000| loss: 2.250421| val_0_mae: 0.866377| 0:00:00s
(run_trial pid=30292) [2022-11-14 01:01:21,898] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 015| loss: 0.865720| val_0_mae: 1.103737| 0:00:06s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:22,317] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 016| loss: 0.882259| val_0_mae: 0.690138| 0:00:07s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:22,436] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 001| loss: 1.000779| val_0_mae: 0.903012| 0:00:01s
(run_trial pid=30292) [2022-11-14 01:01:22,734] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 017| loss: 0.853780| val_0_mae: 0.726888| 0:00:07s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:23,041] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 002| loss: 0.970277| val_0_mae: 0.745609| 0:00:01s
(run_trial pid=30292) [2022-11-14 01:01:23,157] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 018| loss: 0.864675| val_0_mae: 0.746551| 0:00:08s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:23,573] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 019| loss: 0.852602| val_0_mae: 0.806146| 0:00:08s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:23,761] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 003| loss: 0.924974| val_0_mae: 0.824449| 0:00:02s
(run_trial pid=30292) [2022-11-14 01:01:23,990] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 020| loss: 0.865885| val_0_mae: 0.668478| 0:00:08s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:24,421] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 021| loss: 0.822864| val_0_mae: 0.782634| 0:00:09s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:24,499] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 004| loss: 0.923414| val_0_mae: 0.789935| 0:00:03s
(run_trial pid=30292) [2022-11-14 01:01:24,829] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 022| loss: 0.854838| val_0_mae: 0.668849| 0:00:09s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:25,238] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 023| loss: 0.832975| val_0_mae: 0.848204| 0:00:10s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:25,267] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 005| loss: 0.884985| val_0_mae: 0.797978| 0:00:04s
(run_trial pid=30292) [2022-11-14 01:01:25,646] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 024| loss: 0.803786| val_0_mae: 0.771176| 0:00:10s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:26,063] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 025| loss: 0.831367| val_0_mae: 0.755703| 0:00:10s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:26,054] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 006| loss: 0.846988| val_0_mae: 0.720191| 0:00:04s
(run_trial pid=30292) [2022-11-14 01:01:26,473] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 026| loss: 0.809912| val_0_mae: 0.741790| 0:00:11s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:26,881] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 027| loss: 0.813126| val_0_mae: 0.743538| 0:00:11s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:26,853] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 007| loss: 0.790365| val_0_mae: 0.783437| 0:00:05s
(run_trial pid=30292) [2022-11-14 01:01:27,289] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 028| loss: 0.798136| val_0_mae: 0.682494| 0:00:12s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:27,680] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 008| loss: 0.816146| val_0_mae: 0.837121| 0:00:06s
(run_trial pid=30292) [2022-11-14 01:01:27,698] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 029| loss: 0.816031| val_0_mae: 0.689467| 0:00:12s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:28,115] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 030| loss: 0.798248| val_0_mae: 0.810028| 0:00:13s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:28,521] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 009| loss: 0.844155| val_0_mae: 0.773559| 0:00:07s
(run_trial pid=30292) [2022-11-14 01:01:28,536] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 031| loss: 0.782819| val_0_mae: 0.675081| 0:00:13s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:28,941] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 032| loss: 0.830348| val_0_mae: 0.703546| 0:00:13s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:29,344] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 033| loss: 0.787820| val_0_mae: 0.671389| 0:00:14s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:29,361] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 010| loss: 0.800365| val_0_mae: 0.769280| 0:00:08s
(run_trial pid=30292) [2022-11-14 01:01:29,764] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 034| loss: 0.812075| val_0_mae: 0.731617| 0:00:14s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\paddle\nn\layer\norm.py:653: UserWarning: When training, we now always track global mean and variance.
(run_trial pid=30292) warnings.warn(
(run_trial pid=30292) [2022-11-14 01:01:30,184] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 035| loss: 0.808069| val_0_mae: 0.674505| 0:00:15s
(run_trial pid=30292) [2022-11-14 01:01:30,185] [paddlets.models.common.callbacks.callbacks] [INFO]
(run_trial pid=30292) Early stopping occurred at epoch 35 with best_epoch = 20 and best_val_0_mae = 0.668478
(run_trial pid=30292) [2022-11-14 01:01:30,185] [paddlets.models.common.callbacks.callbacks] [INFO] Best weights from best epoch are automatically used!
(run_trial pid=42476) [2022-11-14 01:01:30,183] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 011| loss: 0.814131| val_0_mae: 0.712737| 0:00:08s
(run_trial pid=42476) [2022-11-14 01:01:31,032] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 012| loss: 0.808135| val_0_mae: 0.739639| 0:00:09s
(run_trial pid=42476) [2022-11-14 01:01:31,897] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 013| loss: 0.814179| val_0_mae: 0.755509| 0:00:10s
(run_trial pid=42476) [2022-11-14 01:01:32,795] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 014| loss: 0.815168| val_0_mae: 0.766864| 0:00:11s
(run_trial pid=42476) [2022-11-14 01:01:33,732] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 015| loss: 0.753962| val_0_mae: 0.690585| 0:00:12s
(run_trial pid=42476) [2022-11-14 01:01:34,675] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 016| loss: 0.801936| val_0_mae: 0.709537| 0:00:13s
(run_trial pid=42476) [2022-11-14 01:01:35,645] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 017| loss: 0.794926| val_0_mae: 0.749197| 0:00:14s
(run_trial pid=42476) [2022-11-14 01:01:36,600] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 018| loss: 0.762111| val_0_mae: 0.678700| 0:00:15s
(run_trial pid=42476) [2022-11-14 01:01:37,540] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 019| loss: 0.745253| val_0_mae: 0.922469| 0:00:16s
(run_trial pid=42476) [2022-11-14 01:01:38,506] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 020| loss: 0.787604| val_0_mae: 0.700718| 0:00:17s
(run_trial pid=42476) [2022-11-14 01:01:39,488] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 021| loss: 0.732736| val_0_mae: 0.741522| 0:00:18s
(run_trial pid=42476) [2022-11-14 01:01:40,478] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 022| loss: 0.756187| val_0_mae: 0.687385| 0:00:19s
(run_trial pid=42476) [2022-11-14 01:01:41,501] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 023| loss: 0.751891| val_0_mae: 0.690699| 0:00:20s
(run_trial pid=42476) [2022-11-14 01:01:42,519] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 024| loss: 0.727448| val_0_mae: 0.682869| 0:00:21s
(run_trial pid=42476) [2022-11-14 01:01:43,555] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 025| loss: 0.755604| val_0_mae: 0.895392| 0:00:22s
(run_trial pid=42476) [2022-11-14 01:01:44,597] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 026| loss: 0.792194| val_0_mae: 0.706429| 0:00:23s
(run_trial pid=42476) [2022-11-14 01:01:45,655] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 027| loss: 0.744930| val_0_mae: 0.791593| 0:00:24s
(run_trial pid=30292) C:\Users\Administrator\anaconda3\lib\site-packages\ray\tune\trainable\session.py:229: DeprecationWarning: tune.report
and tune.checkpoint_dir
APIs are deprecated in Ray 2.0, and is replaced by ray.air.session
. This will provide an easy-to-use API across Tune session and Data parallel worker sessions.The old APIs will be removed in the future.
(run_trial pid=30292) warnings.warn(
(run_trial pid=42476) [2022-11-14 01:01:46,718] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 028| loss: 0.748070| val_0_mae: 0.791396| 0:00:25s
(run_trial pid=42476) [2022-11-14 01:01:47,765] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 029| loss: 0.728586| val_0_mae: 0.787615| 0:00:26s
(run_trial pid=42476) [2022-11-14 01:01:48,822] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 030| loss: 0.729428| val_0_mae: 0.750572| 0:00:27s
(run_trial pid=42476) [2022-11-14 01:01:49,869] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 031| loss: 0.711299| val_0_mae: 0.708207| 0:00:28s
(run_trial pid=42476) [2022-11-14 01:01:50,932] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 032| loss: 0.735087| val_0_mae: 0.711936| 0:00:29s
(run_trial pid=42476) [2022-11-14 01:01:52,010] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 033| loss: 0.730024| val_0_mae: 0.741676| 0:00:30s
(run_trial pid=42476) [2022-11-14 01:01:53,085] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 034| loss: 0.703183| val_0_mae: 0.755382| 0:00:31s
(run_trial pid=42476) [2022-11-14 01:01:54,170] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 035| loss: 0.704181| val_0_mae: 0.686618| 0:00:32s
(run_trial pid=42476) [2022-11-14 01:01:55,267] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 036| loss: 0.704718| val_0_mae: 0.724146| 0:00:34s
(run_trial pid=42476) [2022-11-14 01:01:56,361] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 037| loss: 0.693106| val_0_mae: 0.697631| 0:00:35s
(run_trial pid=42476) [2022-11-14 01:01:57,466] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 038| loss: 0.727850| val_0_mae: 0.662641| 0:00:36s
(run_trial pid=42476) [2022-11-14 01:01:58,583] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 039| loss: 0.688710| val_0_mae: 0.698511| 0:00:37s
(run_trial pid=42476) [2022-11-14 01:01:59,692] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 040| loss: 0.685247| val_0_mae: 0.702356| 0:00:38s
(run_trial pid=42476) [2022-11-14 01:02:00,810] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 041| loss: 0.702037| val_0_mae: 0.677072| 0:00:39s
(run_trial pid=42476) [2022-11-14 01:02:01,935] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 042| loss: 0.675219| val_0_mae: 0.693985| 0:00:40s
(run_trial pid=42476) [2022-11-14 01:02:03,079] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 043| loss: 0.665016| val_0_mae: 0.688647| 0:00:41s
(run_trial pid=42476) [2022-11-14 01:02:04,227] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 044| loss: 0.714889| val_0_mae: 0.741173| 0:00:42s
(run_trial pid=42476) [2022-11-14 01:02:05,384] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 045| loss: 0.692830| val_0_mae: 0.690192| 0:00:44s
(run_trial pid=42476) [2022-11-14 01:02:06,557] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 046| loss: 0.674419| val_0_mae: 0.760584| 0:00:45s
(run_trial pid=42476) [2022-11-14 01:02:07,734] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 047| loss: 0.694529| val_0_mae: 0.695555| 0:00:46s
(run_trial pid=42476) [2022-11-14 01:02:08,914] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 048| loss: 0.670605| val_0_mae: 0.821415| 0:00:47s
(run_trial pid=42476) [2022-11-14 01:02:10,092] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 049| loss: 0.666438| val_0_mae: 0.755908| 0:00:48s
(run_trial pid=42476) [2022-11-14 01:02:11,287] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 050| loss: 0.699248| val_0_mae: 0.679514| 0:00:50s
(run_trial pid=42476) [2022-11-14 01:02:12,483] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 051| loss: 0.636179| val_0_mae: 0.672630| 0:00:51s
(run_trial pid=42476) [2022-11-14 01:02:13,704] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 052| loss: 0.654464| val_0_mae: 0.702088| 0:00:52s
(run_trial pid=42476) [2022-11-14 01:02:14,950] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 053| loss: 0.701259| val_0_mae: 0.688155| 0:00:53s
(run_trial pid=42476) [2022-11-14 01:02:16,178] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 054| loss: 0.666418| val_0_mae: 0.683142| 0:00:54s
(run_trial pid=42476) [2022-11-14 01:02:17,413] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 055| loss: 0.680250| val_0_mae: 0.683969| 0:00:56s
(run_trial pid=42476) [2022-11-14 01:02:18,641] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 056| loss: 0.668339| val_0_mae: 0.695880| 0:00:57s
(run_trial pid=42476) [2022-11-14 01:02:19,877] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 057| loss: 0.692120| val_0_mae: 0.701301| 0:00:58s
(run_trial pid=42476) [2022-11-14 01:02:21,113] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 058| loss: 0.665579| val_0_mae: 0.690541| 0:00:59s
(run_trial pid=42476) [2022-11-14 01:02:22,363] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 059| loss: 0.656419| val_0_mae: 0.765069| 0:01:01s
(run_trial pid=42476) [2022-11-14 01:02:23,606] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 060| loss: 0.682641| val_0_mae: 0.802213| 0:01:02s
(run_trial pid=42476) [2022-11-14 01:02:24,863] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 061| loss: 0.643246| val_0_mae: 0.765911| 0:01:03s
(run_trial pid=42476) [2022-11-14 01:02:26,120] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 062| loss: 0.657356| val_0_mae: 0.743121| 0:01:04s
(run_trial pid=42476) [2022-11-14 01:02:27,378] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 063| loss: 0.704962| val_0_mae: 0.681874| 0:01:06s
(run_trial pid=42476) [2022-11-14 01:02:28,625] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 064| loss: 0.627800| val_0_mae: 0.684119| 0:01:07s
(run_trial pid=42476) [2022-11-14 01:02:29,886] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 065| loss: 0.635989| val_0_mae: 0.716252| 0:01:08s
(run_trial pid=42476) [2022-11-14 01:02:31,157] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 066| loss: 0.647488| val_0_mae: 0.694206| 0:01:09s
(run_trial pid=42476) [2022-11-14 01:02:32,441] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 067| loss: 0.667528| val_0_mae: 0.684332| 0:01:11s
(run_trial pid=42476) [2022-11-14 01:02:33,729] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 068| loss: 0.626634| val_0_mae: 0.667108| 0:01:12s
(run_trial pid=42476) [2022-11-14 01:02:35,006] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 069| loss: 0.627659| val_0_mae: 0.675814| 0:01:13s
(run_trial pid=42476) [2022-11-14 01:02:36,276] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 070| loss: 0.646840| val_0_mae: 0.710005| 0:01:15s
(run_trial pid=42476) [2022-11-14 01:02:37,545] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 071| loss: 0.630839| val_0_mae: 0.758983| 0:01:16s
(run_trial pid=42476) [2022-11-14 01:02:38,811] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 072| loss: 0.648888| val_0_mae: 0.736240| 0:01:17s
(run_trial pid=42476) [2022-11-14 01:02:40,079] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 073| loss: 0.635487| val_0_mae: 0.685271| 0:01:18s
(run_trial pid=42476) [2022-11-14 01:02:41,345] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 074| loss: 0.632486| val_0_mae: 0.720887| 0:01:20s
(run_trial pid=42476) [2022-11-14 01:02:42,615] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 075| loss: 0.646977| val_0_mae: 0.705984| 0:01:21s
(run_trial pid=42476) [2022-11-14 01:02:43,889] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 076| loss: 0.667855| val_0_mae: 0.678300| 0:01:22s
(run_trial pid=42476) [2022-11-14 01:02:45,162] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 077| loss: 0.642378| val_0_mae: 0.680050| 0:01:23s
(run_trial pid=42476) [2022-11-14 01:02:46,444] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 078| loss: 0.606339| val_0_mae: 0.718853| 0:01:25s
(run_trial pid=42476) [2022-11-14 01:02:47,736] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 079| loss: 0.610563| val_0_mae: 0.696663| 0:01:26s
(run_trial pid=42476) [2022-11-14 01:02:49,010] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 080| loss: 0.624385| val_0_mae: 0.738892| 0:01:27s
(run_trial pid=42476) [2022-11-14 01:02:50,293] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 081| loss: 0.650479| val_0_mae: 0.785787| 0:01:29s
(run_trial pid=42476) [2022-11-14 01:02:51,577] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 082| loss: 0.630244| val_0_mae: 0.725113| 0:01:30s
(run_trial pid=42476) [2022-11-14 01:02:52,875] [paddlets.models.common.callbacks.callbacks] [INFO] epoch 083| loss: 0.596762| val_0_mae: 0.722377| 0:01:31s
(run_trial pid=42476) [2022-11-14 01:02:52,876] [paddlets.models.common.callbacks.callbacks] [INFO]
(run_trial pid=42476) Early stopping occurred at epoch 83 with best_epoch = 38 and best_val_0_mae = 0.662641
(run_trial pid=42476) [2022-11-14 01:02:52,876] [paddlets.models.common.callbacks.callbacks] [INFO] Best weights from best epoch are automatically used!
(run_trial pid=42476) C:\Users\Administrator\anaconda3\lib\site-packages\ray\tune\trainable\session.py:229: DeprecationWarning: tune.report
and tune.checkpoint_dir
APIs are deprecated in Ray 2.0, and is replaced by ray.air.session
. This will provide an easy-to-use API across Tune session and Data parallel worker sessions.The old APIs will be removed in the future.
(run_trial pid=42476) warnings.warn(