FinSentLLM / outputs /End-To-End-Pipelines

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jennyyu009

Upload outputs folder with models and results

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FinSent_50Agree_end_to_end_pipeline.joblib
Detected Pickle imports (54)
- "transformers.models.roberta.modeling_roberta.RobertaOutput",
- "transformers.models.bert.modeling_bert.BertSdpaSelfAttention",
- "torch.nn.modules.dropout.Dropout",
- "transformers.models.bert.modeling_bert.BertEncoder",
- "transformers.models.bert.modeling_bert.BertEmbeddings",
- "numpy._core.multiarray.scalar",
- "torch.nn.modules.activation.Tanh",
- "transformers.models.bert.modeling_bert.BertModel",
- "torch._C._nn.gelu",
- "Pipeline.dtype",
- "transformers.models.roberta.modeling_roberta.RobertaEncoder",
- "transformers.models.bert.modeling_bert.BertAttention",
- "transformers.models.bert.modeling_bert.BertSelfOutput",
- "torch.storage._load_from_bytes",
- "transformers.models.bert.modeling_bert.BertIntermediate",
- "torch.float32",
- "transformers.models.roberta.modeling_roberta.RobertaSelfOutput",
- "torch.nn.modules.sparse.Embedding",
- "numpy.dtype",
- "torch.nn.modules.container.ModuleList",
- "transformers.models.bert.modeling_bert.BertOutput",
- "transformers.models.roberta.modeling_roberta.RobertaClassificationHead",
- "transformers.models.bert.tokenization_bert_fast.BertTokenizerFast",
- "transformers.models.roberta.modeling_roberta.RobertaForSequenceClassification",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "tokenizers.AddedToken",
- "transformers.models.bert.configuration_bert.BertConfig",
- "transformers.models.bert.modeling_bert.BertPooler",
- "transformers.models.bert.modeling_bert.BertForSequenceClassification",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.float64",
- "numpy._core.multiarray._reconstruct",
- "transformers.models.roberta.modeling_roberta.RobertaModel",
- "transformers.models.roberta.configuration_roberta.RobertaConfig",
- "transformers.models.roberta.modeling_roberta.RobertaEmbeddings",
- "torch.nn.modules.normalization.LayerNorm",
- "transformers.models.roberta.modeling_roberta.RobertaSdpaSelfAttention",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "numpy.ndarray",
- "sklearn.pipeline.Pipeline",
- "transformers.models.roberta.modeling_roberta.RobertaIntermediate",
- "transformers.models.roberta.tokenization_roberta_fast.RobertaTokenizerFast",
- "transformers.models.bert.modeling_bert.BertLayer",
- "__main__.FinSentLLMFeatureEngineering",
- "torch._utils._rebuild_tensor_v2",
- "torch._utils._rebuild_parameter",
- "transformers.activations.GELUActivation",
- "tokenizers.Tokenizer",
- "transformers.models.roberta.modeling_roberta.RobertaLayer",
- "torch.nn.modules.linear.Linear",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "tokenizers.models.Model",
- "collections.OrderedDict",
- "transformers.models.roberta.modeling_roberta.RobertaAttention"
How to fix it?
940 MB
xet

Upload outputs folder with models and results 4 months ago
FinSent_66Agree_end_to_end_pipeline.joblib
Detected Pickle imports (54)
- "transformers.models.roberta.modeling_roberta.RobertaOutput",
- "transformers.models.bert.modeling_bert.BertSdpaSelfAttention",
- "torch.nn.modules.dropout.Dropout",
- "transformers.models.bert.modeling_bert.BertEncoder",
- "transformers.models.bert.modeling_bert.BertEmbeddings",
- "numpy._core.multiarray.scalar",
- "torch.nn.modules.activation.Tanh",
- "transformers.models.bert.modeling_bert.BertModel",
- "torch._C._nn.gelu",
- "Pipeline.dtype",
- "transformers.models.roberta.modeling_roberta.RobertaEncoder",
- "transformers.models.bert.modeling_bert.BertAttention",
- "transformers.models.bert.modeling_bert.BertSelfOutput",
- "torch.storage._load_from_bytes",
- "transformers.models.bert.modeling_bert.BertIntermediate",
- "torch.float32",
- "transformers.models.roberta.modeling_roberta.RobertaSelfOutput",
- "torch.nn.modules.sparse.Embedding",
- "numpy.dtype",
- "torch.nn.modules.container.ModuleList",
- "transformers.models.bert.modeling_bert.BertOutput",
- "transformers.models.roberta.modeling_roberta.RobertaClassificationHead",
- "transformers.models.bert.tokenization_bert_fast.BertTokenizerFast",
- "transformers.models.roberta.modeling_roberta.RobertaForSequenceClassification",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "tokenizers.AddedToken",
- "transformers.models.bert.configuration_bert.BertConfig",
- "transformers.models.bert.modeling_bert.BertPooler",
- "transformers.models.bert.modeling_bert.BertForSequenceClassification",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.float64",
- "numpy._core.multiarray._reconstruct",
- "transformers.models.roberta.modeling_roberta.RobertaModel",
- "transformers.models.roberta.configuration_roberta.RobertaConfig",
- "transformers.models.roberta.modeling_roberta.RobertaEmbeddings",
- "torch.nn.modules.normalization.LayerNorm",
- "transformers.models.roberta.modeling_roberta.RobertaSdpaSelfAttention",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "numpy.ndarray",
- "sklearn.pipeline.Pipeline",
- "transformers.models.roberta.modeling_roberta.RobertaIntermediate",
- "transformers.models.roberta.tokenization_roberta_fast.RobertaTokenizerFast",
- "transformers.models.bert.modeling_bert.BertLayer",
- "__main__.FinSentLLMFeatureEngineering",
- "torch._utils._rebuild_tensor_v2",
- "torch._utils._rebuild_parameter",
- "transformers.activations.GELUActivation",
- "tokenizers.Tokenizer",
- "transformers.models.roberta.modeling_roberta.RobertaLayer",
- "torch.nn.modules.linear.Linear",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "tokenizers.models.Model",
- "collections.OrderedDict",
- "transformers.models.roberta.modeling_roberta.RobertaAttention"
How to fix it?
940 MB
xet

Upload outputs folder with models and results 4 months ago
FinSent_75Agree_end_to_end_pipeline.joblib
Detected Pickle imports (54)
- "transformers.models.roberta.modeling_roberta.RobertaOutput",
- "transformers.models.bert.modeling_bert.BertSdpaSelfAttention",
- "torch.nn.modules.dropout.Dropout",
- "transformers.models.bert.modeling_bert.BertEncoder",
- "transformers.models.bert.modeling_bert.BertEmbeddings",
- "numpy._core.multiarray.scalar",
- "torch.nn.modules.activation.Tanh",
- "transformers.models.bert.modeling_bert.BertModel",
- "torch._C._nn.gelu",
- "Pipeline.dtype",
- "transformers.models.roberta.modeling_roberta.RobertaEncoder",
- "transformers.models.bert.modeling_bert.BertAttention",
- "transformers.models.bert.modeling_bert.BertSelfOutput",
- "torch.storage._load_from_bytes",
- "transformers.models.bert.modeling_bert.BertIntermediate",
- "torch.float32",
- "transformers.models.roberta.modeling_roberta.RobertaSelfOutput",
- "torch.nn.modules.sparse.Embedding",
- "numpy.dtype",
- "torch.nn.modules.container.ModuleList",
- "transformers.models.bert.modeling_bert.BertOutput",
- "transformers.models.roberta.modeling_roberta.RobertaClassificationHead",
- "transformers.models.bert.tokenization_bert_fast.BertTokenizerFast",
- "transformers.models.roberta.modeling_roberta.RobertaForSequenceClassification",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "tokenizers.AddedToken",
- "transformers.models.bert.configuration_bert.BertConfig",
- "transformers.models.bert.modeling_bert.BertPooler",
- "transformers.models.bert.modeling_bert.BertForSequenceClassification",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.float64",
- "numpy._core.multiarray._reconstruct",
- "transformers.models.roberta.modeling_roberta.RobertaModel",
- "transformers.models.roberta.configuration_roberta.RobertaConfig",
- "transformers.models.roberta.modeling_roberta.RobertaEmbeddings",
- "torch.nn.modules.normalization.LayerNorm",
- "transformers.models.roberta.modeling_roberta.RobertaSdpaSelfAttention",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "numpy.ndarray",
- "sklearn.pipeline.Pipeline",
- "transformers.models.roberta.modeling_roberta.RobertaIntermediate",
- "transformers.models.roberta.tokenization_roberta_fast.RobertaTokenizerFast",
- "transformers.models.bert.modeling_bert.BertLayer",
- "__main__.FinSentLLMFeatureEngineering",
- "torch._utils._rebuild_tensor_v2",
- "torch._utils._rebuild_parameter",
- "transformers.activations.GELUActivation",
- "tokenizers.Tokenizer",
- "transformers.models.roberta.modeling_roberta.RobertaLayer",
- "torch.nn.modules.linear.Linear",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "tokenizers.models.Model",
- "collections.OrderedDict",
- "transformers.models.roberta.modeling_roberta.RobertaAttention"
How to fix it?
940 MB
xet

Upload outputs folder with models and results 4 months ago
FinSent_AllAgree_end_to_end_pipeline.joblib
Detected Pickle imports (54)
- "transformers.models.roberta.modeling_roberta.RobertaOutput",
- "transformers.models.bert.modeling_bert.BertSdpaSelfAttention",
- "torch.nn.modules.dropout.Dropout",
- "transformers.models.bert.modeling_bert.BertEncoder",
- "transformers.models.bert.modeling_bert.BertEmbeddings",
- "numpy._core.multiarray.scalar",
- "torch.nn.modules.activation.Tanh",
- "transformers.models.bert.modeling_bert.BertModel",
- "torch._C._nn.gelu",
- "Pipeline.dtype",
- "transformers.models.roberta.modeling_roberta.RobertaEncoder",
- "transformers.models.bert.modeling_bert.BertAttention",
- "transformers.models.bert.modeling_bert.BertSelfOutput",
- "torch.storage._load_from_bytes",
- "transformers.models.bert.modeling_bert.BertIntermediate",
- "torch.float32",
- "transformers.models.roberta.modeling_roberta.RobertaSelfOutput",
- "torch.nn.modules.sparse.Embedding",
- "numpy.dtype",
- "torch.nn.modules.container.ModuleList",
- "transformers.models.bert.modeling_bert.BertOutput",
- "transformers.models.roberta.modeling_roberta.RobertaClassificationHead",
- "transformers.models.bert.tokenization_bert_fast.BertTokenizerFast",
- "transformers.models.roberta.modeling_roberta.RobertaForSequenceClassification",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "tokenizers.AddedToken",
- "transformers.models.bert.configuration_bert.BertConfig",
- "transformers.models.bert.modeling_bert.BertPooler",
- "transformers.models.bert.modeling_bert.BertForSequenceClassification",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.float64",
- "numpy._core.multiarray._reconstruct",
- "transformers.models.roberta.modeling_roberta.RobertaModel",
- "transformers.models.roberta.configuration_roberta.RobertaConfig",
- "transformers.models.roberta.modeling_roberta.RobertaEmbeddings",
- "torch.nn.modules.normalization.LayerNorm",
- "transformers.models.roberta.modeling_roberta.RobertaSdpaSelfAttention",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "numpy.ndarray",
- "sklearn.pipeline.Pipeline",
- "transformers.models.roberta.modeling_roberta.RobertaIntermediate",
- "transformers.models.roberta.tokenization_roberta_fast.RobertaTokenizerFast",
- "transformers.models.bert.modeling_bert.BertLayer",
- "__main__.FinSentLLMFeatureEngineering",
- "torch._utils._rebuild_tensor_v2",
- "torch._utils._rebuild_parameter",
- "transformers.activations.GELUActivation",
- "tokenizers.Tokenizer",
- "transformers.models.roberta.modeling_roberta.RobertaLayer",
- "torch.nn.modules.linear.Linear",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "tokenizers.models.Model",
- "collections.OrderedDict",
- "transformers.models.roberta.modeling_roberta.RobertaAttention"
How to fix it?
939 MB
xet

Upload outputs folder with models and results 4 months ago

Detected Pickle imports (54)

Detected Pickle imports (54)

Detected Pickle imports (54)

Detected Pickle imports (54)