marie434 commited on
Commit
e7f627a
1 Parent(s): 8a49092

End of training

Browse files
README.md ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: facebook/detr-resnet-50
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: detr
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # detr
15
+
16
+ This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 0.9999
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 0.0002
38
+ - train_batch_size: 16
39
+ - eval_batch_size: 8
40
+ - seed: 42
41
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
+ - lr_scheduler_type: linear
43
+ - num_epochs: 1
44
+ - mixed_precision_training: Native AMP
45
+
46
+ ### Training results
47
+
48
+ | Training Loss | Epoch | Step | Validation Loss |
49
+ |:-------------:|:-----:|:----:|:---------------:|
50
+ | 1.6319 | 0.16 | 100 | 1.5387 |
51
+ | 1.4285 | 0.32 | 200 | 1.3564 |
52
+ | 1.2693 | 0.48 | 300 | 1.2122 |
53
+ | 1.1804 | 0.64 | 400 | 1.1028 |
54
+ | 1.0703 | 0.8 | 500 | 1.0369 |
55
+ | 1.0584 | 0.96 | 600 | 0.9999 |
56
+
57
+
58
+ ### Framework versions
59
+
60
+ - Transformers 4.40.0
61
+ - Pytorch 2.2.1+cu121
62
+ - Datasets 2.19.0
63
+ - Tokenizers 0.19.1
config.json ADDED
@@ -0,0 +1,150 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/detr-resnet-50",
3
+ "activation_dropout": 0.0,
4
+ "activation_function": "relu",
5
+ "architectures": [
6
+ "DetrForObjectDetection"
7
+ ],
8
+ "attention_dropout": 0.0,
9
+ "auxiliary_loss": false,
10
+ "backbone": null,
11
+ "backbone_config": {
12
+ "_name_or_path": "",
13
+ "add_cross_attention": false,
14
+ "architectures": null,
15
+ "bad_words_ids": null,
16
+ "begin_suppress_tokens": null,
17
+ "bos_token_id": null,
18
+ "chunk_size_feed_forward": 0,
19
+ "cross_attention_hidden_size": null,
20
+ "decoder_start_token_id": null,
21
+ "depths": [
22
+ 3,
23
+ 4,
24
+ 6,
25
+ 3
26
+ ],
27
+ "diversity_penalty": 0.0,
28
+ "do_sample": false,
29
+ "downsample_in_bottleneck": false,
30
+ "downsample_in_first_stage": false,
31
+ "early_stopping": false,
32
+ "embedding_size": 64,
33
+ "encoder_no_repeat_ngram_size": 0,
34
+ "eos_token_id": null,
35
+ "exponential_decay_length_penalty": null,
36
+ "finetuning_task": null,
37
+ "forced_bos_token_id": null,
38
+ "forced_eos_token_id": null,
39
+ "hidden_act": "relu",
40
+ "hidden_sizes": [
41
+ 256,
42
+ 512,
43
+ 1024,
44
+ 2048
45
+ ],
46
+ "id2label": {
47
+ "0": "LABEL_0",
48
+ "1": "LABEL_1"
49
+ },
50
+ "is_decoder": false,
51
+ "is_encoder_decoder": false,
52
+ "label2id": {
53
+ "LABEL_0": 0,
54
+ "LABEL_1": 1
55
+ },
56
+ "layer_type": "bottleneck",
57
+ "length_penalty": 1.0,
58
+ "max_length": 20,
59
+ "min_length": 0,
60
+ "model_type": "resnet",
61
+ "no_repeat_ngram_size": 0,
62
+ "num_beam_groups": 1,
63
+ "num_beams": 1,
64
+ "num_channels": 3,
65
+ "num_return_sequences": 1,
66
+ "out_features": [
67
+ "stage4"
68
+ ],
69
+ "out_indices": [
70
+ 4
71
+ ],
72
+ "output_attentions": false,
73
+ "output_hidden_states": false,
74
+ "output_scores": false,
75
+ "pad_token_id": null,
76
+ "prefix": null,
77
+ "problem_type": null,
78
+ "pruned_heads": {},
79
+ "remove_invalid_values": false,
80
+ "repetition_penalty": 1.0,
81
+ "return_dict": true,
82
+ "return_dict_in_generate": false,
83
+ "sep_token_id": null,
84
+ "stage_names": [
85
+ "stem",
86
+ "stage1",
87
+ "stage2",
88
+ "stage3",
89
+ "stage4"
90
+ ],
91
+ "suppress_tokens": null,
92
+ "task_specific_params": null,
93
+ "temperature": 1.0,
94
+ "tf_legacy_loss": false,
95
+ "tie_encoder_decoder": false,
96
+ "tie_word_embeddings": true,
97
+ "tokenizer_class": null,
98
+ "top_k": 50,
99
+ "top_p": 1.0,
100
+ "torch_dtype": null,
101
+ "torchscript": false,
102
+ "typical_p": 1.0,
103
+ "use_bfloat16": false
104
+ },
105
+ "backbone_kwargs": null,
106
+ "bbox_cost": 5,
107
+ "bbox_loss_coefficient": 5,
108
+ "class_cost": 1,
109
+ "d_model": 256,
110
+ "decoder_attention_heads": 8,
111
+ "decoder_ffn_dim": 2048,
112
+ "decoder_layerdrop": 0.0,
113
+ "decoder_layers": 6,
114
+ "dice_loss_coefficient": 1,
115
+ "dilation": null,
116
+ "dropout": 0.1,
117
+ "encoder_attention_heads": 8,
118
+ "encoder_ffn_dim": 2048,
119
+ "encoder_layerdrop": 0.0,
120
+ "encoder_layers": 6,
121
+ "eos_coefficient": 0.1,
122
+ "giou_cost": 2,
123
+ "giou_loss_coefficient": 2,
124
+ "id2label": {
125
+ "0": "Class_0",
126
+ "1": "Class_1",
127
+ "2": "Class_2",
128
+ "3": "Class_3"
129
+ },
130
+ "init_std": 0.02,
131
+ "init_xavier_std": 1.0,
132
+ "is_encoder_decoder": true,
133
+ "label2id": {
134
+ "Class_0": 0,
135
+ "Class_1": 1,
136
+ "Class_2": 2,
137
+ "Class_3": 3
138
+ },
139
+ "mask_loss_coefficient": 1,
140
+ "model_type": "detr",
141
+ "num_channels": 3,
142
+ "num_hidden_layers": 6,
143
+ "num_queries": 100,
144
+ "position_embedding_type": "sine",
145
+ "scale_embedding": false,
146
+ "torch_dtype": "float32",
147
+ "transformers_version": "4.40.0",
148
+ "use_pretrained_backbone": null,
149
+ "use_timm_backbone": false
150
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e68c2df0d5a0f7bd88627a1d1e44f4389429f97283d81ca1b9fa9c0d5ebdab48
3
+ size 166506812
preprocessor_config.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_valid_processor_keys": [
3
+ "images",
4
+ "annotations",
5
+ "return_segmentation_masks",
6
+ "masks_path",
7
+ "do_resize",
8
+ "size",
9
+ "resample",
10
+ "do_rescale",
11
+ "rescale_factor",
12
+ "do_normalize",
13
+ "do_convert_annotations",
14
+ "image_mean",
15
+ "image_std",
16
+ "do_pad",
17
+ "format",
18
+ "return_tensors",
19
+ "data_format",
20
+ "input_data_format"
21
+ ],
22
+ "do_convert_annotations": true,
23
+ "do_normalize": true,
24
+ "do_pad": true,
25
+ "do_rescale": true,
26
+ "do_resize": true,
27
+ "format": "coco_detection",
28
+ "image_mean": [
29
+ 0.485,
30
+ 0.456,
31
+ 0.406
32
+ ],
33
+ "image_processor_type": "DetrImageProcessor",
34
+ "image_std": [
35
+ 0.229,
36
+ 0.224,
37
+ 0.225
38
+ ],
39
+ "resample": 2,
40
+ "rescale_factor": 0.00392156862745098,
41
+ "size": {
42
+ "longest_edge": 1333,
43
+ "shortest_edge": 800
44
+ }
45
+ }
runs/Apr23_14-16-45_6ebd8435e3ff/events.out.tfevents.1713881806.6ebd8435e3ff.7120.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c8d7781bcf3f7a8830800a185f0c46ce09351ef8329d550fb5e280b507673555
3
+ size 22491
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:915cbed1afd5d5ff863c13bdd3fb4333f90856627bd2015166558739301c822f
3
+ size 4920