Augusto777
commited on
Model save
Browse files
README.md
CHANGED
@@ -21,7 +21,7 @@ model-index:
|
|
21 |
metrics:
|
22 |
- name: Accuracy
|
23 |
type: accuracy
|
24 |
-
value: 0.
|
25 |
---
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
31 |
|
32 |
This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
|
33 |
It achieves the following results on the evaluation set:
|
34 |
-
- Loss:
|
35 |
-
- Accuracy: 0.
|
36 |
|
37 |
## Model description
|
38 |
|
@@ -51,7 +51,7 @@ More information needed
|
|
51 |
### Training hyperparameters
|
52 |
|
53 |
The following hyperparameters were used during training:
|
54 |
-
- learning_rate: 0.
|
55 |
- train_batch_size: 16
|
56 |
- eval_batch_size: 16
|
57 |
- seed: 42
|
@@ -66,41 +66,41 @@ The following hyperparameters were used during training:
|
|
66 |
|
67 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
68 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
69 |
-
| No log | 0.86 | 3 | 1.
|
70 |
-
| No log | 2.0 | 7 | 1.
|
71 |
-
| 1.
|
72 |
-
| 1.
|
73 |
-
| 1.
|
74 |
-
| 1.
|
75 |
-
| 1.
|
76 |
-
| 1.
|
77 |
-
| 1.
|
78 |
-
| 1.
|
79 |
-
| 1.
|
80 |
-
| 1.
|
81 |
-
| 1.
|
82 |
-
| 1.
|
83 |
-
| 1.
|
84 |
-
| 1.
|
85 |
-
| 1.
|
86 |
-
|
|
87 |
-
|
|
88 |
-
|
|
89 |
-
|
|
90 |
-
|
|
91 |
-
|
|
92 |
-
|
|
93 |
-
|
|
94 |
-
|
|
95 |
-
|
|
96 |
-
|
|
97 |
-
|
|
98 |
-
|
|
99 |
-
|
|
100 |
-
|
|
101 |
-
|
|
102 |
-
|
|
103 |
-
|
|
104 |
|
105 |
|
106 |
### Framework versions
|
|
|
21 |
metrics:
|
22 |
- name: Accuracy
|
23 |
type: accuracy
|
24 |
+
value: 0.45652173913043476
|
25 |
---
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
31 |
|
32 |
This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
|
33 |
It achieves the following results on the evaluation set:
|
34 |
+
- Loss: 1.2346
|
35 |
+
- Accuracy: 0.4565
|
36 |
|
37 |
## Model description
|
38 |
|
|
|
51 |
### Training hyperparameters
|
52 |
|
53 |
The following hyperparameters were used during training:
|
54 |
+
- learning_rate: 0.008
|
55 |
- train_batch_size: 16
|
56 |
- eval_batch_size: 16
|
57 |
- seed: 42
|
|
|
66 |
|
67 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
68 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
69 |
+
| No log | 0.86 | 3 | 1.3591 | 0.5435 |
|
70 |
+
| No log | 2.0 | 7 | 1.2312 | 0.5435 |
|
71 |
+
| 1.2973 | 2.86 | 10 | 2.0533 | 0.3913 |
|
72 |
+
| 1.2973 | 4.0 | 14 | 3.3852 | 0.1304 |
|
73 |
+
| 1.2973 | 4.86 | 17 | 5.4029 | 0.2826 |
|
74 |
+
| 1.3932 | 6.0 | 21 | 6.7309 | 0.1522 |
|
75 |
+
| 1.3932 | 6.86 | 24 | 1.1894 | 0.4565 |
|
76 |
+
| 1.3932 | 8.0 | 28 | 1.3668 | 0.4565 |
|
77 |
+
| 1.224 | 8.86 | 31 | 1.4738 | 0.3043 |
|
78 |
+
| 1.224 | 10.0 | 35 | 3.3027 | 0.4783 |
|
79 |
+
| 1.224 | 10.86 | 38 | 1.5452 | 0.4565 |
|
80 |
+
| 1.1773 | 12.0 | 42 | 2.5106 | 0.3261 |
|
81 |
+
| 1.1773 | 12.86 | 45 | 2.3560 | 0.4565 |
|
82 |
+
| 1.1773 | 14.0 | 49 | 1.3445 | 0.5 |
|
83 |
+
| 1.2552 | 14.86 | 52 | 1.2641 | 0.4348 |
|
84 |
+
| 1.2552 | 16.0 | 56 | 1.2810 | 0.4130 |
|
85 |
+
| 1.2552 | 16.86 | 59 | 1.2486 | 0.4348 |
|
86 |
+
| 1.1857 | 18.0 | 63 | 1.3769 | 0.4565 |
|
87 |
+
| 1.1857 | 18.86 | 66 | 1.3311 | 0.3913 |
|
88 |
+
| 1.2054 | 20.0 | 70 | 1.3728 | 0.3043 |
|
89 |
+
| 1.2054 | 20.86 | 73 | 1.2437 | 0.4565 |
|
90 |
+
| 1.2054 | 22.0 | 77 | 1.2751 | 0.4130 |
|
91 |
+
| 1.2037 | 22.86 | 80 | 1.2529 | 0.4565 |
|
92 |
+
| 1.2037 | 24.0 | 84 | 1.2354 | 0.4565 |
|
93 |
+
| 1.2037 | 24.86 | 87 | 1.2389 | 0.4348 |
|
94 |
+
| 1.1888 | 26.0 | 91 | 1.2456 | 0.4348 |
|
95 |
+
| 1.1888 | 26.86 | 94 | 1.2312 | 0.4565 |
|
96 |
+
| 1.1888 | 28.0 | 98 | 1.2453 | 0.4565 |
|
97 |
+
| 1.1872 | 28.86 | 101 | 1.2507 | 0.4565 |
|
98 |
+
| 1.1872 | 30.0 | 105 | 1.2599 | 0.4130 |
|
99 |
+
| 1.1872 | 30.86 | 108 | 1.2493 | 0.4565 |
|
100 |
+
| 1.1796 | 32.0 | 112 | 1.2411 | 0.4565 |
|
101 |
+
| 1.1796 | 32.86 | 115 | 1.2362 | 0.4565 |
|
102 |
+
| 1.1796 | 34.0 | 119 | 1.2301 | 0.4565 |
|
103 |
+
| 1.199 | 34.29 | 120 | 1.2346 | 0.4565 |
|
104 |
|
105 |
|
106 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 12203648
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3c39a99d0b7dab3bde4a74b075fb78223a89c965b64ade45b92273b7282408a3
|
3 |
size 12203648
|
runs/Dec02_13-15-11_DESKTOP-SKBE9FB/events.out.tfevents.1733166912.DESKTOP-SKBE9FB.8852.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:305966fef5a3e37ec3d446d590dce62566fa9bcdc679d6fd4204a27da8e4850e
|
3 |
+
size 17832
|