ayameRushia
commited on
Commit
•
81eccf0
1
Parent(s):
a056ea0
model-test-v1
Browse files
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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss: 2.
|
36 |
-
- Accuracy: 0.
|
37 |
|
38 |
## Model description
|
39 |
|
@@ -53,35 +53,24 @@ More information needed
|
|
53 |
|
54 |
The following hyperparameters were used during training:
|
55 |
- learning_rate: 3e-05
|
56 |
-
- train_batch_size:
|
57 |
-
- eval_batch_size:
|
58 |
- seed: 42
|
59 |
-
- gradient_accumulation_steps: 4
|
60 |
-
- total_train_batch_size: 64
|
61 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
62 |
- lr_scheduler_type: linear
|
63 |
-
-
|
64 |
-
- num_epochs: 10
|
65 |
|
66 |
### Training results
|
67 |
|
68 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
69 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
70 |
-
| No log | 0
|
71 |
-
|
|
72 |
-
| 2.6336 | 2.9 | 21 | 2.6535 | 0.0265 |
|
73 |
-
| 2.6336 | 4.0 | 29 | 2.6682 | 0.0354 |
|
74 |
-
| 2.6235 | 4.97 | 36 | 2.6785 | 0.0442 |
|
75 |
-
| 2.6126 | 5.93 | 43 | 2.6889 | 0.0354 |
|
76 |
-
| 2.6126 | 6.9 | 50 | 2.6868 | 0.0177 |
|
77 |
-
| 2.6126 | 8.0 | 58 | 2.6888 | 0.0177 |
|
78 |
-
| 2.6085 | 8.97 | 65 | 2.6882 | 0.0265 |
|
79 |
-
| 2.6086 | 9.66 | 70 | 2.6887 | 0.0354 |
|
80 |
|
81 |
|
82 |
### Framework versions
|
83 |
|
84 |
-
- Transformers 4.
|
85 |
-
- Pytorch 2.0
|
86 |
-
- Datasets 2.
|
87 |
-
- Tokenizers 0.
|
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
+
value: 0.08849557522123894
|
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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 2.6431
|
36 |
+
- Accuracy: 0.0885
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
53 |
|
54 |
The following hyperparameters were used during training:
|
55 |
- learning_rate: 3e-05
|
56 |
+
- train_batch_size: 32
|
57 |
+
- eval_batch_size: 32
|
58 |
- seed: 42
|
|
|
|
|
59 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
60 |
- lr_scheduler_type: linear
|
61 |
+
- num_epochs: 2
|
|
|
62 |
|
63 |
### Training results
|
64 |
|
65 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
66 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
67 |
+
| No log | 1.0 | 15 | 2.6414 | 0.0708 |
|
68 |
+
| No log | 2.0 | 30 | 2.6431 | 0.0885 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
69 |
|
70 |
|
71 |
### Framework versions
|
72 |
|
73 |
+
- Transformers 4.35.2
|
74 |
+
- Pytorch 2.1.0+cu121
|
75 |
+
- Datasets 2.16.1
|
76 |
+
- Tokenizers 0.15.1
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 378314704
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:038bd6aaffe94896c1ff19e4e6026f529d29f8a68fca52fafc4c714e8ef335f8
|
3 |
size 378314704
|
runs/Feb02_10-05-09_78dd0ea6363c/events.out.tfevents.1706868310.78dd0ea6363c.377.0
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 sha256:6c6b9b4240565916c84c4c79a18741da58f7efaf49a21a6fbd80be9e8d40f973
|
3 |
+
size 7641
|