Ctrl+K
- 1.52 kB initial commit
- 114 Bytes Training in progress, epoch 22
- pytorch_model.bin948 MB
Detected Pickle imports (58)
- "torch.nn.modules.conv.Conv2d",
- "transformers.models.swin.modeling_swin.SwinAttention",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerModel",
- "transformers.models.swin.modeling_swin.SwinLayer",
- "transformers.activations.GELUActivation",
- "torch.nn.modules.normalization.LayerNorm",
- "transformers.models.swin.modeling_swin.SwinSelfOutput",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerForUniversalSegmentation",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerPixelDecoder",
- "transformers.models.swin.modeling_swin.SwinStage",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerSinePositionEmbedding",
- "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerAttention",
- "__builtin__.getattr",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerLoss",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerMaskedAttentionDecoderLayer",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerHungarianMatcher",
- "torch.nn.modules.container.Sequential",
- "transformers.models.mask2former.configuration_mask2former.Mask2FormerConfig",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerPredictionBlock",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerMLPPredictionHead",
- "transformers.models.swin.configuration_swin.SwinConfig",
- "torch.nn.modules.linear.Identity",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerPixelDecoderEncoderLayer",
- "__builtin__.set",
- "transformers.models.swin.modeling_swin.SwinIntermediate",
- "torch.nn.modules.linear.Linear",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.container.ModuleList",
- "__main__.BigModel",
- "transformers.models.swin.modeling_swin.SwinEncoder",
- "torch._C._nn.gelu",
- "torch.nn.modules.container.ModuleDict",
- "torch.FloatStorage",
- "collections.OrderedDict",
- "torch.nn.modules.normalization.GroupNorm",
- "transformers.models.swin.modeling_swin.SwinBackbone",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerPixelDecoderEncoderOnly",
- "transformers.models.swin.modeling_swin.SwinEmbeddings",
- "transformers.utils.backbone_utils.BackboneType",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerPixelDecoderEncoderMultiscaleDeformableAttention",
- "transformers.models.swin.modeling_swin.SwinOutput",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerMaskPredictor",
- "torch.nn.modules.sparse.Embedding",
- "torch.nn.modules.activation.ReLU",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerMaskedAttentionDecoder",
- "transformers.models.swin.modeling_swin.SwinSelfAttention",
- "transformers.models.swin.modeling_swin.SwinDropPath",
- "torch.nn.functional.relu",
- "torch.LongStorage",
- "torch.float32",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerTransformerModule",
- "torch.nn.modules.activation.MultiheadAttention",
- "torch.nn.modules.dropout.Dropout",
- "transformers.models.swin.modeling_swin.SwinPatchMerging",
- "torch._utils._rebuild_tensor_v2",
- "transformers.models.mask2former.modeling_mask2former.Mask2FormerPixelLevelModule",
- "transformers.models.swin.modeling_swin.SwinPatchEmbeddings"
xetTraining in progress, epoch 22 - training_args.bin5.37 kB
Detected Pickle imports (10)
- "transformers.trainer_pt_utils.AcceleratorConfig",
- "transformers.training_args.OptimizerNames",
- "torch.device",
- "transformers.trainer_utils.SchedulerType",
- "accelerate.utils.dataclasses.DistributedType",
- "transformers.training_args.TrainingArguments",
- "accelerate.state.PartialState",
- "transformers.trainer_utils.HubStrategy",
- "transformers.trainer_utils.IntervalStrategy",
- "transformers.trainer_utils.SaveStrategy"
xetTraining in progress, epoch 1