Training in progress, step 400
Browse files- .gitignore +1 -0
- config.json +42 -0
- preprocessor_config.json +24 -0
- pytorch_model.bin +3 -0
- runs/Aug05_00-59-09_06831fba2a8a/events.out.tfevents.1691197164.06831fba2a8a.503.0 +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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"_name_or_path": "hustvl/yolos-small",
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"architectures": [
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"YolosForObjectDetection"
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],
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"attention_probs_dropout_prob": 0.0,
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"auxiliary_loss": false,
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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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"eos_coefficient": 0.1,
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 384,
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"id2label": {
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"0": "forklift",
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"1": "person"
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},
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"image_size": [
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512,
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864
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],
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"label2id": {
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"forklift": 0,
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"person": 1
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},
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"layer_norm_eps": 1e-12,
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"model_type": "yolos",
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"num_attention_heads": 6,
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"num_channels": 3,
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"num_detection_tokens": 100,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.31.0",
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"use_mid_position_embeddings": 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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],
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"image_processor_type": "YolosImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:d42bb94d6ed960f6016b979113aa78b8ee85277ace17a081719308ad4f13099a
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size 122673949
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runs/Aug05_00-59-09_06831fba2a8a/events.out.tfevents.1691197164.06831fba2a8a.503.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:43b03f57a461dc3903f542cf8a2c8404112f78ef24cdbadad3e3b830a0077c26
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size 13683
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9227ed9fe962ac89832124f45d80f65319217ec284d0ba9921c9939a3bb1b374
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size 4027
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