Model save
Browse files- README.md +18 -9
- model.safetensors +1 -1
README.md
CHANGED
@@ -22,7 +22,7 @@ model-index:
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
-
value: 0
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
32 |
|
33 |
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss: 1.
|
36 |
-
- Accuracy: 0
|
37 |
|
38 |
## Model description
|
39 |
|
@@ -52,23 +52,32 @@ More information needed
|
|
52 |
### Training hyperparameters
|
53 |
|
54 |
The following hyperparameters were used during training:
|
55 |
-
- learning_rate: 1e-
|
56 |
- train_batch_size: 8
|
57 |
- eval_batch_size: 8
|
58 |
- seed: 42
|
59 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
60 |
- lr_scheduler_type: linear
|
61 |
-
- lr_scheduler_warmup_ratio: 0.01
|
62 |
- num_epochs: 16
|
63 |
|
64 |
### Training results
|
65 |
|
66 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
67 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
68 |
-
| 1.
|
69 |
-
| 1.
|
70 |
-
| 1.
|
71 |
-
| 1.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
72 |
|
73 |
|
74 |
### Framework versions
|
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
+
value: 1.0
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
32 |
|
33 |
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 1.4420
|
36 |
+
- Accuracy: 1.0
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
52 |
### Training hyperparameters
|
53 |
|
54 |
The following hyperparameters were used during training:
|
55 |
+
- learning_rate: 1e-06
|
56 |
- train_batch_size: 8
|
57 |
- eval_batch_size: 8
|
58 |
- seed: 42
|
59 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
60 |
- lr_scheduler_type: linear
|
|
|
61 |
- num_epochs: 16
|
62 |
|
63 |
### Training results
|
64 |
|
65 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
66 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
67 |
+
| 1.6017 | 1.0 | 8 | 1.5921 | 0.1481 |
|
68 |
+
| 1.582 | 2.0 | 16 | 1.5723 | 0.4444 |
|
69 |
+
| 1.5626 | 3.0 | 24 | 1.5543 | 0.7778 |
|
70 |
+
| 1.5442 | 4.0 | 32 | 1.5375 | 0.8148 |
|
71 |
+
| 1.5278 | 5.0 | 40 | 1.5220 | 0.8889 |
|
72 |
+
| 1.512 | 6.0 | 48 | 1.5077 | 0.9259 |
|
73 |
+
| 1.4977 | 7.0 | 56 | 1.4947 | 0.9259 |
|
74 |
+
| 1.4872 | 8.0 | 64 | 1.4832 | 0.9630 |
|
75 |
+
| 1.4741 | 9.0 | 72 | 1.4729 | 0.9630 |
|
76 |
+
| 1.4657 | 10.0 | 80 | 1.4640 | 0.9630 |
|
77 |
+
| 1.457 | 11.0 | 88 | 1.4564 | 1.0 |
|
78 |
+
| 1.4504 | 12.0 | 96 | 1.4502 | 1.0 |
|
79 |
+
| 1.4445 | 13.0 | 104 | 1.4454 | 1.0 |
|
80 |
+
| 1.4393 | 14.0 | 112 | 1.4420 | 1.0 |
|
81 |
|
82 |
|
83 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 94766588
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:41e7d75fe27b73fdf2dfc9e33eb3e9113a69ef8bb43ddfae7db175f4352be6e1
|
3 |
size 94766588
|