Training in progress, step 200
Browse files- .gitignore +1 -0
- config.json +73 -0
- preprocessor_config.json +24 -0
- pytorch_model.bin +3 -0
- runs/Apr22_16-51-44_70a5085f3a19/1682182456.4522507/events.out.tfevents.1682182456.70a5085f3a19.1263.1 +3 -0
- runs/Apr22_16-51-44_70a5085f3a19/1682182516.7172678/events.out.tfevents.1682182516.70a5085f3a19.1263.2 +3 -0
- runs/Apr22_16-51-44_70a5085f3a19/1682182532.9157624/events.out.tfevents.1682182532.70a5085f3a19.1263.4 +3 -0
- runs/Apr22_16-51-44_70a5085f3a19/1682182588.4413216/events.out.tfevents.1682182588.70a5085f3a19.1263.6 +3 -0
- runs/Apr22_16-51-44_70a5085f3a19/1682182649.9414887/events.out.tfevents.1682182649.70a5085f3a19.1263.8 +3 -0
- runs/Apr22_16-51-44_70a5085f3a19/events.out.tfevents.1682182456.70a5085f3a19.1263.0 +3 -0
- runs/Apr22_16-51-44_70a5085f3a19/events.out.tfevents.1682182532.70a5085f3a19.1263.3 +3 -0
- runs/Apr22_16-51-44_70a5085f3a19/events.out.tfevents.1682182588.70a5085f3a19.1263.5 +3 -0
- runs/Apr22_16-51-44_70a5085f3a19/events.out.tfevents.1682182649.70a5085f3a19.1263.7 +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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"auxiliary_loss": false,
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"backbone": "resnet50",
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"d_model": 256,
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"decoder_attention_heads": 8,
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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": "Caption",
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"1": "Footnote",
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"2": "Formula",
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"3": "List-item",
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"4": "Page-footer",
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"5": "Page-header",
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"6": "Picture",
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"7": "Section-header",
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"8": "Table",
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"9": "Text",
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"10": "Title"
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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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"label2id": {
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"Caption": 0,
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"Footnote": 1,
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"Formula": 2,
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"Table": 8,
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"Text": 9,
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"Title": 10
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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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"image_processor_type": "DetrImageProcessor",
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"image_std": [
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0.229,
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0.225
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"resample": 2,
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"size": {
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"longest_edge": 1333,
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}
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pytorch_model.bin
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training_args.bin
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