MattyB95 commited on
Commit
9086f91
1 Parent(s): 4be9f53

Model save

Browse files
Files changed (2) hide show
  1. README.md +92 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: google/vit-base-patch16-224-in21k
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - imagefolder
8
+ metrics:
9
+ - accuracy
10
+ - f1
11
+ - precision
12
+ - recall
13
+ model-index:
14
+ - name: VIT-ASVspoof5-MFCC-Synthetic-Voice-Detection
15
+ results:
16
+ - task:
17
+ name: Image Classification
18
+ type: image-classification
19
+ dataset:
20
+ name: imagefolder
21
+ type: imagefolder
22
+ config: default
23
+ split: validation
24
+ args: default
25
+ metrics:
26
+ - name: Accuracy
27
+ type: accuracy
28
+ value: 0.686952820148989
29
+ - name: F1
30
+ type: f1
31
+ value: 0.7634000386075542
32
+ - name: Precision
33
+ type: precision
34
+ value: 0.9259586867162704
35
+ - name: Recall
36
+ type: recall
37
+ value: 0.6493942490147424
38
+ ---
39
+
40
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
41
+ should probably proofread and complete it, then remove this comment. -->
42
+
43
+ # VIT-ASVspoof5-MFCC-Synthetic-Voice-Detection
44
+
45
+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
46
+ It achieves the following results on the evaluation set:
47
+ - Loss: 2.8475
48
+ - Accuracy: 0.6870
49
+ - F1: 0.7634
50
+ - Precision: 0.9260
51
+ - Recall: 0.6494
52
+
53
+ ## Model description
54
+
55
+ More information needed
56
+
57
+ ## Intended uses & limitations
58
+
59
+ More information needed
60
+
61
+ ## Training and evaluation data
62
+
63
+ More information needed
64
+
65
+ ## Training procedure
66
+
67
+ ### Training hyperparameters
68
+
69
+ The following hyperparameters were used during training:
70
+ - learning_rate: 5e-05
71
+ - train_batch_size: 8
72
+ - eval_batch_size: 8
73
+ - seed: 42
74
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
75
+ - lr_scheduler_type: linear
76
+ - num_epochs: 3.0
77
+
78
+ ### Training results
79
+
80
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
81
+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
82
+ | 0.0335 | 1.0 | 22795 | 1.1422 | 0.7655 | 0.8411 | 0.8892 | 0.7979 |
83
+ | 0.0104 | 2.0 | 45590 | 1.9972 | 0.6301 | 0.6979 | 0.9567 | 0.5493 |
84
+ | 0.0035 | 3.0 | 68385 | 2.8475 | 0.6870 | 0.7634 | 0.9260 | 0.6494 |
85
+
86
+
87
+ ### Framework versions
88
+
89
+ - Transformers 4.44.0
90
+ - Pytorch 2.4.0+cu124
91
+ - Datasets 2.20.0
92
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b36a263bcf2396817f99b4b4ad13fbb1831a75bb5a9dea2b0b4b1509c693741b
3
  size 343223968
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f9f4bf78ee64f35ef50b07ec389d7e633c26641130688d90d9e082185fd51f63
3
  size 343223968