Training in progress, step 200
Browse files- .gitignore +1 -0
- config.json +210 -0
- preprocessor_config.json +24 -0
- pytorch_model.bin +3 -0
- runs/Apr29_22-06-47_03a07f047283/1682806098.0917504/events.out.tfevents.1682806098.03a07f047283.30769.1 +3 -0
- runs/Apr29_22-06-47_03a07f047283/1682807169.190273/events.out.tfevents.1682807169.03a07f047283.30769.3 +3 -0
- runs/Apr29_22-06-47_03a07f047283/1682807701.5695689/events.out.tfevents.1682807701.03a07f047283.30769.5 +3 -0
- runs/Apr29_22-06-47_03a07f047283/1682807737.108546/events.out.tfevents.1682807737.03a07f047283.30769.7 +3 -0
- runs/Apr29_22-06-47_03a07f047283/events.out.tfevents.1682806098.03a07f047283.30769.0 +3 -0
- runs/Apr29_22-06-47_03a07f047283/events.out.tfevents.1682807169.03a07f047283.30769.2 +3 -0
- runs/Apr29_22-06-47_03a07f047283/events.out.tfevents.1682807701.03a07f047283.30769.4 +3 -0
- runs/Apr29_22-06-47_03a07f047283/events.out.tfevents.1682807737.03a07f047283.30769.6 +3 -0
- runs/Apr29_22-36-14_03a07f047283/1682807780.7544324/events.out.tfevents.1682807780.03a07f047283.30769.9 +3 -0
- runs/Apr29_22-36-14_03a07f047283/events.out.tfevents.1682807780.03a07f047283.30769.8 +3 -0
- runs/Apr29_22-38-15_03a07f047283/1682807902.4833367/events.out.tfevents.1682807902.03a07f047283.30769.11 +3 -0
- runs/Apr29_22-38-15_03a07f047283/events.out.tfevents.1682807902.03a07f047283.30769.10 +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-tiny",
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"architectures": [
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"YolosForObjectDetection"
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],
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"3": "car",
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"4": "motorcycle",
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"5": "airplane",
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"6": "bus",
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"7": "train",
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"8": "truck",
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"9": "boat",
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"10": "traffic light",
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"11": "fire hydrant",
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"12": "N/A",
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"14": "parking meter",
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"23": "bear",
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"24": "zebra",
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"25": "giraffe",
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"26": "N/A",
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"27": "backpack",
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"28": "umbrella",
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"29": "N/A",
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"30": "N/A",
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"31": "handbag",
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"32": "tie",
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"33": "suitcase",
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"34": "frisbee",
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"37": "sports ball",
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"40": "baseball glove",
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"41": "skateboard",
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"42": "surfboard",
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"43": "tennis racket",
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"44": "bottle",
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"45": "N/A",
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"46": "wine glass",
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"47": "cup",
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"48": "fork",
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"49": "knife",
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"50": "spoon",
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"51": "bowl",
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"52": "banana",
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"53": "apple",
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"54": "sandwich",
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"55": "orange",
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"56": "broccoli",
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"57": "carrot",
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"58": "hot dog",
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"59": "pizza",
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"60": "donut",
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"61": "cake",
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"62": "chair",
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"63": "couch",
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"64": "potted plant",
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"65": "bed",
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"66": "N/A",
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"67": "dining table",
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"68": "N/A",
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"69": "N/A",
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"70": "toilet",
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"71": "N/A",
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"72": "tv",
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"73": "laptop",
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"74": "mouse",
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"75": "remote",
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"76": "keyboard",
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"77": "cell phone",
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"78": "microwave",
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"79": "oven",
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"80": "toaster",
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"81": "sink",
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"82": "refrigerator",
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"83": "N/A",
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"84": "book",
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"85": "clock",
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"86": "vase",
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"87": "scissors",
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"88": "teddy bear",
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"89": "hair drier",
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"layer_norm_eps": 1e-12,
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"model_type": "yolos",
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"num_attention_heads": 3,
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"num_channels": 3,
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"num_detection_tokens": 100,
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"use_mid_position_embeddings": false
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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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],
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"image_processor_type": "YolosImageProcessor",
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"image_std": [
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pytorch_model.bin
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