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ToxicBERTMultilabelTextClassification

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• "pytorch_lightning.trainer.connectors.callback_connector.CallbackConnector",
• "transformers.optimization.AdamW",
• "torch.utils.data.sampler.SequentialSampler",
• "pytorch_lightning.utilities.cloud_io._LightningLocalFileSystem",
• "pytorch_lightning.trainer.states.TrainerState",
• "pytorch_lightning.accelerators.gpu.GPUAccelerator",
• "transformers.models.bert.modeling_bert.BertAttention",
• "torch.utils.data.sampler.BatchSampler",
• "torch.nn.modules.dropout.Dropout",
• "pytorch_lightning.utilities.enums.DeviceType",
• "pandas.core.indexes.base._new_Index",
• "torch.optim.lr_scheduler.LambdaLR",
• "__main__.ArgumentosDataModule",
• "pytorch_lightning.trainer.configuration_validator.ConfigValidator",
• "functools.partial",
• "__main__.ArgumentosDataset",
• "pytorch_lightning.plugins.environments.lightning_environment.LightningEnvironment",
• "torch._utils._rebuild_tensor_v2",
• "pytorch_lightning.trainer.supporters.CombinedLoader",
• "pytorch_lightning.trainer.evaluation_loop.EvaluationLoop",
• "pytorch_lightning.callbacks.gradient_accumulation_scheduler.GradientAccumulationScheduler",
• "pytorch_lightning.utilities.warnings.WarningCache",
• "numpy.core.multiarray._reconstruct",
• "pytorch_lightning.trainer.connectors.logger_connector.epoch_result_store.EpochResultStore",
• "pytorch_lightning.trainer.connectors.training_trick_connector.TrainingTricksConnector",
• "pytorch_lightning.trainer.connectors.model_connector.ModelConnector",
• "numpy.dtype",
• "transformers.models.bert.modeling_bert.BertPooler",
• "torch.utils.data.sampler.RandomSampler",
• "pytorch_lightning.utilities.enums.AMPType",
• "__builtin__.slice",
• "pandas._libs.internals._unpickle_block",
• "torch.utils.data._utils.collate.default_collate",
• "pytorch_lightning.trainer.supporters.TensorRunningAccum",
• "pytorch_lightning.trainer.supporters.Accumulator",
• "collections.OrderedDict",
• "transformers.models.bert.modeling_bert.BertSelfAttention",
• "torch.utils.data.dataloader.DataLoader",
• "pandas.core.indexes.numeric.Int64Index",
• "pytorch_lightning.trainer.connectors.checkpoint_connector.CheckpointConnector",
• "torch.LongStorage",
• "transformers.models.bert.tokenization_bert_fast.BertTokenizerFast",
• "__main__.ArgumentosTagger",
• "torch.nn.modules.normalization.LayerNorm",
• "pytorch_lightning.trainer.connectors.optimizer_connector.OptimizerConnector",
• "pandas.core.internals.managers.BlockManager",
• "transformers.models.bert.modeling_bert.BertSelfOutput",
• "numpy.ndarray",
• "fsspec.spec.make_instance",
• "tokenizers.models.Model",
• "pytorch_lightning.trainer.connectors.debugging_connector.DebuggingConnector",
• "torch.nn.modules.linear.Linear",
• "pytorch_lightning.plugins.precision.precision_plugin.PrecisionPlugin",
• "torch.nn.modules.container.ModuleList",
• "pytorch_lightning.trainer.connectors.data_connector.DataConnector",
• "__builtin__.dict",
• "__builtin__.getattr",
• "pytorch_lightning.profiler.profilers.PassThroughProfiler",
• "pytorch_lightning.trainer.connectors.logger_connector.epoch_result_store.HookResultStore",
• "pytorch_lightning.plugins.training_type.single_device.SingleDevicePlugin",
• "transformers.activations.GELUActivation",
• "transformers.models.bert.modeling_bert.BertModel",
• "pytorch_lightning.trainer.trainer.Trainer",
• "pytorch_lightning.trainer.training_loop.TrainLoop",
• "pytorch_lightning.trainer.predict_loop.PredictLoop",
• "pandas.core.indexes.base.Index",
• "torch._C._VariableFunctionsClass",
• "torch.nn.modules.loss.BCELoss",
• "pytorch_lightning.trainer.connectors.profiler_connector.ProfilerConnector",
• "pytorch_lightning.callbacks.model_checkpoint.ModelCheckpoint",
• "pytorch_lightning.trainer.connectors.logger_connector.logger_connector.LoggerConnector",
• "transformers.models.bert.configuration_bert.BertConfig",
• "pytorch_lightning.trainer.connectors.accelerator_connector.AcceleratorConnector",
• "torch.device",
• "transformers.models.bert.modeling_bert.BertEncoder",
• "pytorch_lightning.callbacks.progress.ProgressBar",
• "pytorch_lightning.trainer.connectors.logger_connector.callback_hook_validator.CallbackHookNameValidator",
• "transformers.models.bert.modeling_bert.BertEmbeddings",
• "pytorch_lightning.trainer.connectors.slurm_connector.SLURMConnector",
• "pytorch_lightning.trainer.supporters.CombinedDataset",
• "tokenizers.Tokenizer",
• "pytorch_lightning.utilities.parsing.AttributeDict",
• "torch._utils._rebuild_parameter",
• "pytorch_lightning.tuner.tuning.Tuner",
• "transformers.models.bert.modeling_bert.BertIntermediate",
• "__builtin__.set",
• "torch.nn.modules.activation.Tanh",
• "torch.FloatStorage",
• "pytorch_lightning.core.step_result.Result",
• "pytorch_lightning.trainer.states.RunningStage",
• "pytorch_lightning.callbacks.early_stopping.EarlyStopping",
• "torch.nn.modules.sparse.Embedding",
• "pytorch_lightning.trainer.connectors.logger_connector.epoch_result_store.ResultStoreType",
• "pytorch_lightning.loggers.tensorboard.TensorBoardLogger",
• "transformers.optimization._get_linear_schedule_with_warmup_lr_lambda",
• "collections.defaultdict",
• "_codecs.encode",
• "pytorch_lightning.trainer.supporters.PredictionCollection",
• "transformers.models.bert.modeling_bert.BertLayer",
• "torch.float32",
• "pytorch_lightning.trainer.connectors.logger_connector.metrics_holder.MetricsHolder",
• "torch._C._nn.gelu",
• "transformers.models.bert.modeling_bert.BertOutput",
• "pandas.core.frame.DataFrame",
• "pytorch_lightning.utilities.debugging.InternalDebugger",
• "numpy.mean"

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