Training in progress, step 200
Browse files- .gitignore +1 -0
- config.json +61 -0
- preprocessor_config.json +24 -0
- pytorch_model.bin +3 -0
- runs/May15_22-12-24_8bc371e4c36d/1684188760.7534134/events.out.tfevents.1684188760.8bc371e4c36d.964.1 +3 -0
- runs/May15_22-12-24_8bc371e4c36d/events.out.tfevents.1684188760.8bc371e4c36d.964.0 +3 -0
- runs/May15_22-13-47_8bc371e4c36d/1684188840.78224/events.out.tfevents.1684188840.8bc371e4c36d.964.3 +3 -0
- runs/May15_22-13-47_8bc371e4c36d/events.out.tfevents.1684188840.8bc371e4c36d.964.2 +3 -0
- runs/May15_22-14-44_8bc371e4c36d/1684188889.54141/events.out.tfevents.1684188889.8bc371e4c36d.964.5 +3 -0
- runs/May15_22-14-44_8bc371e4c36d/events.out.tfevents.1684188889.8bc371e4c36d.964.4 +3 -0
- runs/May15_22-15-11_8bc371e4c36d/1684188916.5844634/events.out.tfevents.1684188916.8bc371e4c36d.964.7 +3 -0
- runs/May15_22-15-11_8bc371e4c36d/events.out.tfevents.1684188916.8bc371e4c36d.964.6 +3 -0
- runs/May15_22-17-20_8bc371e4c36d/1684189046.8196445/events.out.tfevents.1684189046.8bc371e4c36d.964.9 +3 -0
- runs/May15_22-17-20_8bc371e4c36d/events.out.tfevents.1684189046.8bc371e4c36d.964.8 +3 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_commit_hash": "480370a8aeeed9fc8d78837b4e94e5f936fe73f2",
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"_name_or_path": "facebook/detr-resnet-50",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"DetrForObjectDetection"
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],
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"attention_dropout": 0.0,
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"auxiliary_loss": false,
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"backbone": "resnet50",
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"backbone_config": null,
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"bbox_cost": 5,
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"bbox_loss_coefficient": 5,
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"class_cost": 1,
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"classifier_dropout": 0.0,
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"d_model": 256,
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"decoder_attention_heads": 8,
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"decoder_ffn_dim": 2048,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 6,
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"dice_loss_coefficient": 1,
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"dilation": false,
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"dropout": 0.1,
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 6,
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"eos_coefficient": 0.1,
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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"id2label": {
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"0": "circle",
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"1": "rectangle",
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"2": "diamond",
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"3": "text",
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"4": "arrow"
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},
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"init_std": 0.02,
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"init_xavier_std": 1.0,
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"is_encoder_decoder": true,
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"label2id": {
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"arrow": 4,
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"circle": 0,
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"diamond": 2,
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"rectangle": 1,
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"text": 3
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},
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"mask_loss_coefficient": 1,
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"max_position_embeddings": 1024,
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"model_type": "detr",
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"num_channels": 3,
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"num_hidden_layers": 6,
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"num_queries": 100,
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"position_embedding_type": "sine",
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"scale_embedding": false,
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"torch_dtype": "float32",
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"transformers_version": "4.7.0.dev0",
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"use_pretrained_backbone": true,
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"use_timm_backbone": true
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_pad": true,
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"do_rescale": true,
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"do_resize": true,
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"format": "coco_detection",
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"image_mean": [
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0.485,
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0.456,
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0.406
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"image_processor_type": "DetrImageProcessor",
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"image_std": [
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0.229,
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0.224,
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 1333,
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"shortest_edge": 800
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}
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}
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pytorch_model.bin
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training_args.bin
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