Upload folder using huggingface_hub
Browse files- README.md +45 -0
- checkpoint-339/config.json +61 -0
- checkpoint-339/model.safetensors +3 -0
- checkpoint-339/optimizer.pt +3 -0
- checkpoint-339/preprocessor_config.json +44 -0
- checkpoint-339/rng_state.pth +3 -0
- checkpoint-339/scheduler.pt +3 -0
- checkpoint-339/trainer_state.json +1291 -0
- checkpoint-339/training_args.bin +3 -0
- config.json +61 -0
- model.safetensors +3 -0
- preprocessor_config.json +44 -0
- runs/May24_15-26-14_r-rileybol-face-detection-v1-m1cjgjqo-4d503-pcn86/events.out.tfevents.1716564375.r-rileybol-face-detection-v1-m1cjgjqo-4d503-pcn86.158.0 +2 -2
- runs/May24_15-26-14_r-rileybol-face-detection-v1-m1cjgjqo-4d503-pcn86/events.out.tfevents.1716564659.r-rileybol-face-detection-v1-m1cjgjqo-4d503-pcn86.158.1 +3 -0
- training_args.bin +3 -0
- training_params.json +30 -0
README.md
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---
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tags:
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- autotrain
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- object-detection
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- vision
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widget:
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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example_title: Tiger
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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example_title: Teapot
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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example_title: Palace
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---
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# Model Trained Using AutoTrain
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- Problem type: Object Detection
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## Validation Metrics
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loss: 0.8856489658355713
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map: 0.1595
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map_50: 0.2552
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map_75: 0.1847
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map_small: 0.0
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map_medium: 0.0755
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map_large: 0.1961
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mar_1: 0.2338
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mar_10: 0.5162
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mar_100: 0.6897
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| 40 |
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mar_small: 0.0
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mar_medium: 0.5297
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mar_large: 0.7544
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checkpoint-339/config.json
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{
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"_name_or_path": "facebook/detr-resnet-101",
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| 3 |
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"activation_dropout": 0.0,
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| 4 |
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"activation_function": "relu",
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| 5 |
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"architectures": [
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"DetrForObjectDetection"
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| 7 |
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],
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| 8 |
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"attention_dropout": 0.0,
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| 9 |
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"auxiliary_loss": false,
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| 10 |
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"backbone": "resnet101",
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| 11 |
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"backbone_config": null,
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| 12 |
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"backbone_kwargs": {
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| 13 |
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"in_chans": 3,
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| 14 |
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"out_indices": [
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1,
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2,
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3,
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4
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]
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},
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| 21 |
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"bbox_cost": 5,
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| 22 |
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"bbox_loss_coefficient": 5,
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| 23 |
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"class_cost": 1,
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| 24 |
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"classifier_dropout": 0.0,
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| 25 |
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"d_model": 256,
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| 26 |
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"decoder_attention_heads": 8,
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| 27 |
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"decoder_ffn_dim": 2048,
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| 28 |
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"decoder_layerdrop": 0.0,
|
| 29 |
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"decoder_layers": 6,
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| 30 |
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"dice_loss_coefficient": 1,
|
| 31 |
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"dilation": false,
|
| 32 |
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"dropout": 0.1,
|
| 33 |
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"encoder_attention_heads": 8,
|
| 34 |
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"encoder_ffn_dim": 2048,
|
| 35 |
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"encoder_layerdrop": 0.0,
|
| 36 |
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"encoder_layers": 6,
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| 37 |
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"eos_coefficient": 0.1,
|
| 38 |
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"giou_cost": 2,
|
| 39 |
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"giou_loss_coefficient": 2,
|
| 40 |
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"id2label": {
|
| 41 |
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"0": "Face"
|
| 42 |
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},
|
| 43 |
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"init_std": 0.02,
|
| 44 |
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"init_xavier_std": 1.0,
|
| 45 |
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"is_encoder_decoder": true,
|
| 46 |
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"label2id": {
|
| 47 |
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"Face": 0
|
| 48 |
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},
|
| 49 |
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"mask_loss_coefficient": 1,
|
| 50 |
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"max_position_embeddings": 1024,
|
| 51 |
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"model_type": "detr",
|
| 52 |
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"num_channels": 3,
|
| 53 |
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"num_hidden_layers": 6,
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| 54 |
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"num_queries": 100,
|
| 55 |
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"position_embedding_type": "sine",
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| 56 |
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"scale_embedding": false,
|
| 57 |
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"torch_dtype": "float32",
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| 58 |
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"transformers_version": "4.41.0",
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| 59 |
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"use_pretrained_backbone": true,
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"use_timm_backbone": true
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}
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checkpoint-339/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:659494bcede8bf5d6bc7b89639fa453c833c85798404c46ee240c337cf6a4702
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| 3 |
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size 242704552
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checkpoint-339/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ebca2363dead62135a9a4907b791291fbc1e1a654e8ec726aa8125c0946f405b
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| 3 |
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size 482055300
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checkpoint-339/preprocessor_config.json
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{
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| 2 |
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"_valid_processor_keys": [
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| 3 |
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"images",
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| 4 |
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"annotations",
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| 5 |
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"return_segmentation_masks",
|
| 6 |
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"masks_path",
|
| 7 |
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"do_resize",
|
| 8 |
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"size",
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| 9 |
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"resample",
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| 10 |
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"do_rescale",
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| 11 |
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"rescale_factor",
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| 12 |
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"do_normalize",
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| 13 |
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"do_convert_annotations",
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| 14 |
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"image_mean",
|
| 15 |
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"image_std",
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| 16 |
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"do_pad",
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| 17 |
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"format",
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| 18 |
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"return_tensors",
|
| 19 |
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"data_format",
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| 20 |
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"input_data_format"
|
| 21 |
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],
|
| 22 |
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"do_convert_annotations": true,
|
| 23 |
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"do_normalize": true,
|
| 24 |
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"do_pad": false,
|
| 25 |
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"do_rescale": true,
|
| 26 |
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"do_resize": false,
|
| 27 |
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"format": "coco_detection",
|
| 28 |
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"image_mean": [
|
| 29 |
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0.485,
|
| 30 |
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0.456,
|
| 31 |
+
0.406
|
| 32 |
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],
|
| 33 |
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"image_processor_type": "DetrImageProcessor",
|
| 34 |
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"image_std": [
|
| 35 |
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0.229,
|
| 36 |
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0.224,
|
| 37 |
+
0.225
|
| 38 |
+
],
|
| 39 |
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"resample": 2,
|
| 40 |
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"rescale_factor": 0.00392156862745098,
|
| 41 |
+
"size": {
|
| 42 |
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"longest_edge": 600
|
| 43 |
+
}
|
| 44 |
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}
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checkpoint-339/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:0cb8d84f201c4d310d01d391c8db647098d5210a2e526a0d0f5e426ce270412e
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| 3 |
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size 14244
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checkpoint-339/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:b2f5e05de16c989d52ed1d2926d42e3e6d436b7c6bfe0cc6c5ee82f8b2e2bda7
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| 3 |
+
size 1064
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checkpoint-339/trainer_state.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:2fa0287b79f9e132c0008e70765ad115f5b5931118867fdc8e15e33762477fe8
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size 44307
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runs/May24_15-26-14_r-rileybol-face-detection-v1-m1cjgjqo-4d503-pcn86/events.out.tfevents.1716564659.r-rileybol-face-detection-v1-m1cjgjqo-4d503-pcn86.158.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:9baca0204ec61d808019137a46b5aa916bf1fd2bdb52a91fcc532c3287b682cd
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size 1094
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7cfe85f8088a851a046fa82abe8f86e125d3ad222308954b0b4b23b7e307e4c9
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size 5176
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training_params.json
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{
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"data_path": "autotrain-1hkeo-o33ms/autotrain-data",
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| 3 |
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"model": "facebook/detr-resnet-101",
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"username": "rileybol",
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"lr": 5e-05,
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"epochs": 3,
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"batch_size": 8,
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| 8 |
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"warmup_ratio": 0.1,
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| 9 |
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"gradient_accumulation": 1,
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"optimizer": "adamw_torch",
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"scheduler": "linear",
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"weight_decay": 0.0,
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| 13 |
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"max_grad_norm": 1.0,
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"seed": 42,
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| 15 |
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"train_split": "train",
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| 16 |
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"valid_split": "validation",
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| 17 |
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"logging_steps": -1,
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"project_name": "autotrain-1hkeo-o33ms",
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| 19 |
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"auto_find_batch_size": false,
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"mixed_precision": "fp16",
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"save_total_limit": 1,
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| 22 |
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"push_to_hub": true,
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"evaluation_strategy": "epoch",
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| 24 |
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"image_column": "autotrain_image",
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| 25 |
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"objects_column": "autotrain_objects",
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"log": "tensorboard",
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| 27 |
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"image_square_size": 600,
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| 28 |
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"early_stopping_patience": 5,
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| 29 |
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"early_stopping_threshold": 0.01
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| 30 |
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}
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