End of training
Browse files- README.md +80 -0
- model.safetensors +1 -1
README.md
ADDED
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: gianlab/swin-tiny-patch4-window7-224-finetuned-plantdisease
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
metrics:
|
7 |
+
- accuracy
|
8 |
+
model-index:
|
9 |
+
- name: CGIAR-Crop-disease
|
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 |
+
# CGIAR-Crop-disease
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [gianlab/swin-tiny-patch4-window7-224-finetuned-plantdisease](https://huggingface.co/gianlab/swin-tiny-patch4-window7-224-finetuned-plantdisease) on the None dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.7668
|
21 |
+
- Accuracy: 0.6726
|
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: 0.001
|
41 |
+
- train_batch_size: 32
|
42 |
+
- eval_batch_size: 8
|
43 |
+
- seed: 42
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: linear
|
46 |
+
- lr_scheduler_warmup_steps: 50
|
47 |
+
- num_epochs: 20
|
48 |
+
|
49 |
+
### Training results
|
50 |
+
|
51 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
52 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
|
53 |
+
| 1.047 | 1.0 | 652 | 0.9302 | 0.5817 |
|
54 |
+
| 0.899 | 2.0 | 1304 | 0.8669 | 0.6285 |
|
55 |
+
| 0.8656 | 3.0 | 1956 | 0.8434 | 0.6385 |
|
56 |
+
| 0.8514 | 4.0 | 2608 | 0.8421 | 0.6277 |
|
57 |
+
| 0.8395 | 5.0 | 3260 | 0.8275 | 0.6506 |
|
58 |
+
| 0.832 | 6.0 | 3912 | 0.8444 | 0.6415 |
|
59 |
+
| 0.8065 | 7.0 | 4564 | 0.8204 | 0.6494 |
|
60 |
+
| 0.8031 | 8.0 | 5216 | 0.8271 | 0.6438 |
|
61 |
+
| 0.7954 | 9.0 | 5868 | 0.8025 | 0.6632 |
|
62 |
+
| 0.7939 | 10.0 | 6520 | 0.7917 | 0.6592 |
|
63 |
+
| 0.7893 | 11.0 | 7172 | 0.8043 | 0.6515 |
|
64 |
+
| 0.7731 | 12.0 | 7824 | 0.7878 | 0.6695 |
|
65 |
+
| 0.7759 | 13.0 | 8476 | 0.7806 | 0.6657 |
|
66 |
+
| 0.7676 | 14.0 | 9128 | 0.7816 | 0.6653 |
|
67 |
+
| 0.7605 | 15.0 | 9780 | 0.7882 | 0.6550 |
|
68 |
+
| 0.7566 | 16.0 | 10432 | 0.7881 | 0.6548 |
|
69 |
+
| 0.7554 | 17.0 | 11084 | 0.7824 | 0.6619 |
|
70 |
+
| 0.7384 | 18.0 | 11736 | 0.7668 | 0.6726 |
|
71 |
+
| 0.7442 | 19.0 | 12388 | 0.7830 | 0.6594 |
|
72 |
+
| 0.7296 | 20.0 | 13040 | 0.7709 | 0.6667 |
|
73 |
+
|
74 |
+
|
75 |
+
### Framework versions
|
76 |
+
|
77 |
+
- Transformers 4.37.1
|
78 |
+
- Pytorch 2.0.0
|
79 |
+
- Datasets 2.16.1
|
80 |
+
- Tokenizers 0.15.0
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 110382828
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5220490c8128e1ec5ec2603ccd9f4c3cba614cce10d762e813768bde7ff0058a
|
3 |
size 110382828
|