theodullin commited on
Commit
a28bed3
1 Parent(s): 04c72fe

Training in progress, step 200

Browse files
config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "jozhang97/deta-resnet-50",
3
+ "activation_dropout": 0.0,
4
+ "activation_function": "relu",
5
+ "architectures": [
6
+ "DetaForObjectDetection"
7
+ ],
8
+ "assign_first_stage": true,
9
+ "attention_dropout": 0.0,
10
+ "auxiliary_loss": false,
11
+ "backbone_config": {
12
+ "model_type": "resnet",
13
+ "out_features": [
14
+ "stage2",
15
+ "stage3",
16
+ "stage4"
17
+ ],
18
+ "out_indices": [
19
+ 2,
20
+ 3,
21
+ 4
22
+ ]
23
+ },
24
+ "bbox_cost": 5,
25
+ "bbox_loss_coefficient": 5,
26
+ "class_cost": 1,
27
+ "d_model": 256,
28
+ "decoder_attention_heads": 8,
29
+ "decoder_ffn_dim": 2048,
30
+ "decoder_layerdrop": 0.0,
31
+ "decoder_layers": 6,
32
+ "decoder_n_points": 4,
33
+ "dice_loss_coefficient": 1,
34
+ "dropout": 0.1,
35
+ "encoder_attention_heads": 8,
36
+ "encoder_ffn_dim": 2048,
37
+ "encoder_layerdrop": 0.0,
38
+ "encoder_layers": 6,
39
+ "encoder_n_points": 4,
40
+ "eos_coefficient": 0.1,
41
+ "focal_alpha": 0.25,
42
+ "giou_cost": 2,
43
+ "giou_loss_coefficient": 2,
44
+ "id2label": {
45
+ "0": "platelets",
46
+ "1": "rbc",
47
+ "2": "wbc"
48
+ },
49
+ "init_std": 0.02,
50
+ "init_xavier_std": 1.0,
51
+ "is_encoder_decoder": true,
52
+ "label2id": {
53
+ "platelets": 0,
54
+ "rbc": 1,
55
+ "wbc": 2
56
+ },
57
+ "mask_loss_coefficient": 1,
58
+ "max_position_embeddings": 2048,
59
+ "model_type": "deta",
60
+ "num_feature_levels": 5,
61
+ "num_queries": 900,
62
+ "position_embedding_type": "sine",
63
+ "torch_dtype": "float32",
64
+ "transformers_version": "4.34.0",
65
+ "two_stage": true,
66
+ "two_stage_num_proposals": 300,
67
+ "with_box_refine": true
68
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "do_pad": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "format": "coco_detection",
7
+ "image_mean": [
8
+ 0.485,
9
+ 0.456,
10
+ 0.406
11
+ ],
12
+ "image_processor_type": "DetaImageProcessor",
13
+ "image_std": [
14
+ 0.229,
15
+ 0.224,
16
+ 0.225
17
+ ],
18
+ "resample": 2,
19
+ "rescale_factor": 0.00392156862745098,
20
+ "size": {
21
+ "longest_edge": 1333,
22
+ "shortest_edge": 800
23
+ }
24
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b242b2f02d0fa298307aba7cbafe78026d04d68e75c436c6c9464c650ca936e
3
+ size 193766469
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cdd8705759d422a6713521917e66126acb8a7e79a60782cc4361725d8ee4cdaf
3
+ size 4155