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Food-Origin-classifier-distiltrobertabase

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Running

• "torch.LongStorage",
• "__builtin__.getattr",
• "fastai.data.load._FakeLoader",
• "fastai.text.data._default_sort",
• "fastcore.foundation.L",
• "torch._C._nn.gelu",
• "blurr.text.data.core.BatchDecodeTransform",
• "__builtin__.tuple",
• "torch.nn.modules.container.ModuleList",
• "fastai.data.load._wif",
• "fastcore.transform.Pipeline",
• "inspect._empty",
• "torch.nn.modules.normalization.LayerNorm",
• "fastai.data.transforms.ColReader",
• "blurr.text.data.core.BatchTokenizeTransform",
• "torch.nn.modules.linear.Linear",
• "random.Random",
• "functools.partial",
• "torch._utils._rebuild_parameter",
• "pandas.core.indexes.numeric.Int64Index",
• "pandas._libs.internals._unpickle_block",
• "tokenizers.models.Model",
• "transformers.models.roberta.modeling_roberta.RobertaEmbeddings",
• "transformers.models.roberta.modeling_roberta.RobertaLayer",
• "pandas.core.frame.DataFrame",
• "fastai.data.transforms.ToTensor",
• "torch.nn.modules.sparse.Embedding",
• "pandas.core.indexes.base.Index",
• "pathlib.PosixPath",
• "pandas.core.internals.managers.BlockManager",
• "fastai.data.core.TfmdLists",
• "transformers.models.roberta.modeling_roberta.RobertaIntermediate",
• "__builtin__.dict",
• "transformers.activations.GELUActivation",
• "__builtin__.slice",
• "fastai.data.transforms.Categorize",
• "tokenizers.Tokenizer",
• "pandas.core.indexes.base._new_Index",
• "pandas.core.series.Series",
• "transformers.models.roberta.modeling_roberta.RobertaSelfOutput",
• "fastai.data.core.DataLoaders",
• "transformers.models.roberta.modeling_roberta.RobertaSelfAttention",
• "fastai.torch_core.TensorCategory",
• "blurr.text.data.core.TextInput",
• "numpy.core.multiarray.scalar",
• "transformers.models.roberta.modeling_roberta.RobertaEncoder",
• "transformers.models.roberta.modeling_roberta.RobertaClassificationHead",
• "transformers.models.roberta.modeling_roberta.RobertaAttention",
• "torch.FloatStorage",
• "blurr.text.data.core.blurr_sort_func",
• "_codecs.encode",
• "tokenizers.AddedToken",
• "fastai.data.transforms.CategoryMap",
• "torch._utils._rebuild_tensor_v2",
• "fastai.text.data.SortedDL",
• "collections.OrderedDict",
• "inspect.Signature",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.roberta.tokenization_roberta_fast.RobertaTokenizerFast",
• "inspect._ParameterKind",
• "transformers.models.roberta.configuration_roberta.RobertaConfig",
• "__builtin__.set",
• "transformers.models.roberta.modeling_roberta.RobertaOutput",
• "inspect.Parameter",
• "fastai.data.core.Datasets",
• "numpy.dtype",
• "__builtin__.unicode",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "torch.device",
• "transformers.models.roberta.modeling_roberta.RobertaModel",
• "transformers.models.roberta.modeling_roberta.RobertaForSequenceClassification"

How to fix it?

• "fastai.torch_core.TensorBase",
• "torch._C._nn.gelu",
• "__builtin__.tuple",
• "blurr.text.data.core.BatchTokenizeTransform",
• "blurr.text.modeling.core.blurr_splitter",
• "torch.optim.adamw.AdamW",
• "torch.nn.modules.sparse.Embedding",
• "__builtin__.float",
• "fastai.data.core.TfmdLists",
• "transformers.models.roberta.modeling_roberta.RobertaIntermediate",
• "__builtin__.dict",
• "transformers.models.roberta.modeling_roberta.RobertaSelfOutput",
• "fastai.callback.fp16.MixedPrecision",
• "numpy.core.multiarray.scalar",
• "_codecs.encode",
• "blurr.text.modeling.core.BaseModelWrapper",
• "fastai.data.transforms.CategoryMap",
• "fastai.learner.AvgMetric",
• "inspect._ParameterKind",
• "torch.device",
• "inspect.Parameter",
• "functools.partial",
• "transformers.models.roberta.modeling_roberta.RobertaForSequenceClassification",
• "torch.LongStorage",
• "__builtin__.getattr",
• "fastai.learner.AvgSmoothLoss",
• "fastai.text.data._default_sort",
• "blurr.utils.PreCalculatedCrossEntropyLoss",
• "fastai.optimizer.OptimWrapper",
• "torch.nn.modules.normalization.LayerNorm",
• "fastai.data.transforms.ColReader",
• "__builtin__.long",
• "torch.nn.modules.linear.Linear",
• "__builtin__.print",
• "transformers.models.roberta.modeling_roberta.RobertaLayer",
• "fastai.data.transforms.ToTensor",
• "fastai.data.transforms.Categorize",
• "pandas.core.series.Series",
• "transformers.models.roberta.modeling_roberta.RobertaSelfAttention",
• "torch.FloatStorage",
• "tokenizers.AddedToken",
• "fastai.callback.core.TrainEvalCallback",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.roberta.modeling_roberta.RobertaOutput",
• "fastai.torch_core._rebuild_from_type",
• "fastai.data.load._FakeLoader",
• "fastcore.transform.Pipeline",
• "inspect._empty",
• "random.Random",
• "fastai.learner.Learner",
• "torch._utils._rebuild_parameter",
• "pathlib.PosixPath",
• "fastai.learner.Recorder",
• "fastai.learner.CastToTensor",
• "fastai.metrics.accuracy",
• "fastai.torch_core.TensorCategory",
• "blurr.text.data.core.TextInput",
• "transformers.models.roberta.modeling_roberta.RobertaClassificationHead",
• "fastai.text.data.SortedDL",
• "collections.OrderedDict",
• "__builtin__.set",
• "transformers.models.roberta.configuration_roberta.RobertaConfig",
• "fastai.data.core.Datasets",
• "fastai.learner.AvgLoss",
• "numpy.dtype",
• "fastai.callback.progress.ProgressCallback",
• "blurr.text.modeling.core.BaseModelCallback",
• "fastcore.foundation.L",
• "blurr.text.data.core.BatchDecodeTransform",
• "torch.nn.modules.container.ModuleList",
• "fastai.data.load._wif",
• "tokenizers.models.Model",
• "transformers.models.roberta.modeling_roberta.RobertaEmbeddings",
• "transformers.activations.GELUActivation",
• "tokenizers.Tokenizer",
• "fastai.data.core.DataLoaders",
• "transformers.models.roberta.modeling_roberta.RobertaEncoder",
• "transformers.models.roberta.modeling_roberta.RobertaAttention",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "torch._utils._rebuild_tensor_v2",
• "inspect.Signature",
• "transformers.models.roberta.tokenization_roberta_fast.RobertaTokenizerFast",
• "__builtin__.unicode",
• "transformers.models.roberta.modeling_roberta.RobertaModel"

How to fix it?