egujr001/egujr001-AquaAnalyser-model
Browse files- README.md +137 -0
- all_results.json +13 -0
- config.json +54 -0
- preprocessor_config.json +23 -0
- pytorch_model.bin +3 -0
- test_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
- val_results.json +8 -0
README.md
ADDED
@@ -0,0 +1,137 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: microsoft/swinv2-tiny-patch4-window8-256
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
metrics:
|
7 |
+
- accuracy
|
8 |
+
model-index:
|
9 |
+
- name: egujr001-swim2-base-model
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# egujr001-swim2-base-model
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.1969
|
21 |
+
- Accuracy: 0.9457
|
22 |
+
|
23 |
+
## Model description
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Intended uses & limitations
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- learning_rate: 5e-05
|
41 |
+
- train_batch_size: 64
|
42 |
+
- eval_batch_size: 64
|
43 |
+
- seed: 56
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: linear
|
46 |
+
- lr_scheduler_warmup_ratio: 0.1
|
47 |
+
- num_epochs: 3
|
48 |
+
|
49 |
+
### Training results
|
50 |
+
|
51 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
52 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
53 |
+
| 0.6254 | 0.04 | 100 | 0.5840 | 0.7050 |
|
54 |
+
| 0.3998 | 0.08 | 200 | 0.3525 | 0.8507 |
|
55 |
+
| 0.2796 | 0.12 | 300 | 0.2710 | 0.8975 |
|
56 |
+
| 0.23 | 0.15 | 400 | 0.2660 | 0.9012 |
|
57 |
+
| 0.2372 | 0.19 | 500 | 0.1678 | 0.9401 |
|
58 |
+
| 0.1944 | 0.23 | 600 | 0.1437 | 0.9437 |
|
59 |
+
| 0.1635 | 0.27 | 700 | 0.1231 | 0.9503 |
|
60 |
+
| 0.1463 | 0.31 | 800 | 0.1353 | 0.9551 |
|
61 |
+
| 0.1287 | 0.35 | 900 | 0.1216 | 0.9523 |
|
62 |
+
| 0.1208 | 0.39 | 1000 | 0.1695 | 0.9351 |
|
63 |
+
| 0.1204 | 0.42 | 1100 | 0.1221 | 0.9557 |
|
64 |
+
| 0.1064 | 0.46 | 1200 | 0.1605 | 0.9432 |
|
65 |
+
| 0.1114 | 0.5 | 1300 | 0.0998 | 0.9613 |
|
66 |
+
| 0.1324 | 0.54 | 1400 | 0.0888 | 0.9650 |
|
67 |
+
| 0.0997 | 0.58 | 1500 | 0.0810 | 0.9686 |
|
68 |
+
| 0.0904 | 0.62 | 1600 | 0.0945 | 0.9655 |
|
69 |
+
| 0.0975 | 0.66 | 1700 | 0.0978 | 0.9635 |
|
70 |
+
| 0.0859 | 0.69 | 1800 | 0.0858 | 0.9696 |
|
71 |
+
| 0.0785 | 0.73 | 1900 | 0.0749 | 0.9722 |
|
72 |
+
| 0.0743 | 0.77 | 2000 | 0.0763 | 0.9727 |
|
73 |
+
| 0.0815 | 0.81 | 2100 | 0.0765 | 0.9728 |
|
74 |
+
| 0.0674 | 0.85 | 2200 | 0.0881 | 0.9703 |
|
75 |
+
| 0.0726 | 0.89 | 2300 | 0.0875 | 0.9716 |
|
76 |
+
| 0.0633 | 0.93 | 2400 | 0.0912 | 0.9721 |
|
77 |
+
| 0.0501 | 0.96 | 2500 | 0.0743 | 0.9750 |
|
78 |
+
| 0.0927 | 1.0 | 2600 | 0.0695 | 0.9759 |
|
79 |
+
| 0.0766 | 1.04 | 2700 | 0.0788 | 0.9733 |
|
80 |
+
| 0.0934 | 1.08 | 2800 | 0.0699 | 0.9753 |
|
81 |
+
| 0.0714 | 1.12 | 2900 | 0.0756 | 0.9762 |
|
82 |
+
| 0.069 | 1.16 | 3000 | 0.0859 | 0.9706 |
|
83 |
+
| 0.0702 | 1.2 | 3100 | 0.1001 | 0.9658 |
|
84 |
+
| 0.0633 | 1.23 | 3200 | 0.0724 | 0.9756 |
|
85 |
+
| 0.0756 | 1.27 | 3300 | 0.0734 | 0.9745 |
|
86 |
+
| 0.0617 | 1.31 | 3400 | 0.0704 | 0.9747 |
|
87 |
+
| 0.0498 | 1.35 | 3500 | 0.0651 | 0.9788 |
|
88 |
+
| 0.0668 | 1.39 | 3600 | 0.0625 | 0.9791 |
|
89 |
+
| 0.0441 | 1.43 | 3700 | 0.0714 | 0.9774 |
|
90 |
+
| 0.0789 | 1.46 | 3800 | 0.0880 | 0.9722 |
|
91 |
+
| 0.0464 | 1.5 | 3900 | 0.0720 | 0.9749 |
|
92 |
+
| 0.0532 | 1.54 | 4000 | 0.0681 | 0.9782 |
|
93 |
+
| 0.0677 | 1.58 | 4100 | 0.0733 | 0.9736 |
|
94 |
+
| 0.0654 | 1.62 | 4200 | 0.0610 | 0.9802 |
|
95 |
+
| 0.0554 | 1.66 | 4300 | 0.0825 | 0.9740 |
|
96 |
+
| 0.0836 | 1.7 | 4400 | 0.0694 | 0.9780 |
|
97 |
+
| 0.0688 | 1.73 | 4500 | 0.0599 | 0.9813 |
|
98 |
+
| 0.052 | 1.77 | 4600 | 0.0932 | 0.9673 |
|
99 |
+
| 0.0515 | 1.81 | 4700 | 0.0785 | 0.9759 |
|
100 |
+
| 0.0586 | 1.85 | 4800 | 0.0660 | 0.9787 |
|
101 |
+
| 0.056 | 1.89 | 4900 | 0.0612 | 0.9783 |
|
102 |
+
| 0.037 | 1.93 | 5000 | 0.0645 | 0.9795 |
|
103 |
+
| 0.0541 | 1.97 | 5100 | 0.0600 | 0.9809 |
|
104 |
+
| 0.0521 | 2.0 | 5200 | 0.0876 | 0.9737 |
|
105 |
+
| 0.0352 | 2.04 | 5300 | 0.0709 | 0.9780 |
|
106 |
+
| 0.0498 | 2.08 | 5400 | 0.0610 | 0.9809 |
|
107 |
+
| 0.0424 | 2.12 | 5500 | 0.0569 | 0.9830 |
|
108 |
+
| 0.0532 | 2.16 | 5600 | 0.0625 | 0.9820 |
|
109 |
+
| 0.046 | 2.2 | 5700 | 0.0512 | 0.9842 |
|
110 |
+
| 0.0453 | 2.24 | 5800 | 0.0608 | 0.9813 |
|
111 |
+
| 0.0577 | 2.27 | 5900 | 0.0697 | 0.9811 |
|
112 |
+
| 0.0397 | 2.31 | 6000 | 0.0688 | 0.9816 |
|
113 |
+
| 0.0494 | 2.35 | 6100 | 0.0534 | 0.9834 |
|
114 |
+
| 0.0158 | 2.39 | 6200 | 0.0860 | 0.9774 |
|
115 |
+
| 0.0297 | 2.43 | 6300 | 0.0593 | 0.9836 |
|
116 |
+
| 0.055 | 2.47 | 6400 | 0.0579 | 0.9821 |
|
117 |
+
| 0.0368 | 2.51 | 6500 | 0.0729 | 0.9796 |
|
118 |
+
| 0.0754 | 2.54 | 6600 | 0.0601 | 0.9827 |
|
119 |
+
| 0.0523 | 2.58 | 6700 | 0.0597 | 0.9824 |
|
120 |
+
| 0.0433 | 2.62 | 6800 | 0.0547 | 0.9841 |
|
121 |
+
| 0.0164 | 2.66 | 6900 | 0.0620 | 0.9827 |
|
122 |
+
| 0.015 | 2.7 | 7000 | 0.0639 | 0.9822 |
|
123 |
+
| 0.0415 | 2.74 | 7100 | 0.0576 | 0.9837 |
|
124 |
+
| 0.0257 | 2.78 | 7200 | 0.0620 | 0.9820 |
|
125 |
+
| 0.0268 | 2.81 | 7300 | 0.0568 | 0.9837 |
|
126 |
+
| 0.043 | 2.85 | 7400 | 0.0558 | 0.9836 |
|
127 |
+
| 0.0339 | 2.89 | 7500 | 0.0554 | 0.9839 |
|
128 |
+
| 0.0263 | 2.93 | 7600 | 0.0552 | 0.9837 |
|
129 |
+
| 0.0428 | 2.97 | 7700 | 0.0535 | 0.9842 |
|
130 |
+
|
131 |
+
|
132 |
+
### Framework versions
|
133 |
+
|
134 |
+
- Transformers 4.33.0
|
135 |
+
- Pytorch 2.0.0+cu117
|
136 |
+
- Datasets 2.19.1
|
137 |
+
- Tokenizers 0.13.3
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9456576375314159,
|
4 |
+
"eval_loss": 0.19686463475227356,
|
5 |
+
"eval_runtime": 99.3891,
|
6 |
+
"eval_samples_per_second": 180.151,
|
7 |
+
"eval_steps_per_second": 2.817,
|
8 |
+
"total_flos": 1.6202290803162218e+19,
|
9 |
+
"train_loss": 0.0875718877881773,
|
10 |
+
"train_runtime": 10188.5801,
|
11 |
+
"train_samples_per_second": 48.879,
|
12 |
+
"train_steps_per_second": 0.764
|
13 |
+
}
|
config.json
ADDED
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/swinv2-tiny-patch4-window8-256",
|
3 |
+
"architectures": [
|
4 |
+
"Swinv2ForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"depths": [
|
8 |
+
2,
|
9 |
+
2,
|
10 |
+
6,
|
11 |
+
2
|
12 |
+
],
|
13 |
+
"drop_path_rate": 0.1,
|
14 |
+
"embed_dim": 96,
|
15 |
+
"encoder_stride": 32,
|
16 |
+
"hidden_act": "gelu",
|
17 |
+
"hidden_dropout_prob": 0.0,
|
18 |
+
"hidden_size": 768,
|
19 |
+
"id2label": {
|
20 |
+
"0": "Fake",
|
21 |
+
"1": "Real"
|
22 |
+
},
|
23 |
+
"image_size": 256,
|
24 |
+
"initializer_range": 0.02,
|
25 |
+
"label2id": {
|
26 |
+
"Fake": "0",
|
27 |
+
"Real": "1"
|
28 |
+
},
|
29 |
+
"layer_norm_eps": 1e-05,
|
30 |
+
"mlp_ratio": 4.0,
|
31 |
+
"model_type": "swinv2",
|
32 |
+
"num_channels": 3,
|
33 |
+
"num_heads": [
|
34 |
+
3,
|
35 |
+
6,
|
36 |
+
12,
|
37 |
+
24
|
38 |
+
],
|
39 |
+
"num_layers": 4,
|
40 |
+
"patch_size": 4,
|
41 |
+
"path_norm": true,
|
42 |
+
"pretrained_window_sizes": [
|
43 |
+
0,
|
44 |
+
0,
|
45 |
+
0,
|
46 |
+
0
|
47 |
+
],
|
48 |
+
"problem_type": "single_label_classification",
|
49 |
+
"qkv_bias": true,
|
50 |
+
"torch_dtype": "float32",
|
51 |
+
"transformers_version": "4.33.0",
|
52 |
+
"use_absolute_embeddings": false,
|
53 |
+
"window_size": 8
|
54 |
+
}
|
preprocessor_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": false,
|
4 |
+
"do_resize": true,
|
5 |
+
"feature_extractor_type": "ViTFeatureExtractor",
|
6 |
+
"image_mean": [
|
7 |
+
0.485,
|
8 |
+
0.456,
|
9 |
+
0.406
|
10 |
+
],
|
11 |
+
"image_processor_type": "ViTImageProcessor",
|
12 |
+
"image_std": [
|
13 |
+
0.229,
|
14 |
+
0.224,
|
15 |
+
0.225
|
16 |
+
],
|
17 |
+
"resample": 3,
|
18 |
+
"rescale_factor": 0.00392156862745098,
|
19 |
+
"size": {
|
20 |
+
"height": 256,
|
21 |
+
"width": 256
|
22 |
+
}
|
23 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8e33eaf22dd690db2fea474241c529eac64d05a5b0895f84302891ed4152c880
|
3 |
+
size 110405153
|
test_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9456576375314159,
|
4 |
+
"eval_loss": 0.19686463475227356,
|
5 |
+
"eval_runtime": 99.3891,
|
6 |
+
"eval_samples_per_second": 180.151,
|
7 |
+
"eval_steps_per_second": 2.817
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9919278080986976,
|
4 |
+
"eval_loss": 0.021632272750139236,
|
5 |
+
"eval_runtime": 587.4856,
|
6 |
+
"eval_samples_per_second": 282.564,
|
7 |
+
"eval_steps_per_second": 4.415
|
8 |
+
}
|
trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8729d54942960ecd06b9936519e9947be5bd500635de81e5f9cb330e67af4517
|
3 |
+
size 4027
|
val_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9842183540817451,
|
4 |
+
"eval_loss": 0.051206715404987335,
|
5 |
+
"eval_runtime": 82.4005,
|
6 |
+
"eval_samples_per_second": 440.628,
|
7 |
+
"eval_steps_per_second": 6.893
|
8 |
+
}
|