polejowska commited on
Commit
2ca2601
1 Parent(s): a16eb88

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +77 -0
README.md ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ datasets:
5
+ - cd45rb_nan_xywh
6
+ model-index:
7
+ - name: detr-r101-cd45rb-8ah-6l-256d-4096ffn-correcetd
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-r101-cd45rb-8ah-6l-256d-4096ffn-correcetd
15
+
16
+ This model is a fine-tuned version of [](https://huggingface.co/) on the cd45rb_nan_xywh dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 1.5943
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: 1e-05
38
+ - train_batch_size: 4
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: 20
44
+ - mixed_precision_training: Native AMP
45
+
46
+ ### Training results
47
+
48
+ | Training Loss | Epoch | Step | Validation Loss |
49
+ |:-------------:|:-----:|:-----:|:---------------:|
50
+ | 2.3194 | 1.0 | 4606 | 1.7874 |
51
+ | 2.3461 | 2.0 | 9212 | 1.8376 |
52
+ | 2.3028 | 3.0 | 13818 | 1.9087 |
53
+ | 2.2979 | 4.0 | 18424 | 1.9066 |
54
+ | 2.273 | 5.0 | 23030 | 1.7689 |
55
+ | 2.2372 | 6.0 | 27636 | 1.8501 |
56
+ | 2.2429 | 7.0 | 32242 | 1.7625 |
57
+ | 2.2066 | 8.0 | 36848 | 1.7588 |
58
+ | 2.1914 | 9.0 | 41454 | 1.7062 |
59
+ | 2.1553 | 10.0 | 46060 | 1.7069 |
60
+ | 2.1302 | 11.0 | 50666 | 1.6863 |
61
+ | 2.1321 | 12.0 | 55272 | 1.7722 |
62
+ | 2.1227 | 13.0 | 59878 | 1.6639 |
63
+ | 2.087 | 14.0 | 64484 | 1.6486 |
64
+ | 2.0676 | 15.0 | 69090 | 1.6632 |
65
+ | 2.0604 | 16.0 | 73696 | 1.6429 |
66
+ | 2.0435 | 17.0 | 78302 | 1.6224 |
67
+ | 2.0241 | 18.0 | 82908 | 1.6321 |
68
+ | 2.0041 | 19.0 | 87514 | 1.5970 |
69
+ | 1.9966 | 20.0 | 92120 | 1.5943 |
70
+
71
+
72
+ ### Framework versions
73
+
74
+ - Transformers 4.28.0
75
+ - Pytorch 2.0.1
76
+ - Datasets 2.12.0
77
+ - Tokenizers 0.13.3