update model card README.md
Browse files
README.md
CHANGED
@@ -7,16 +7,6 @@ metrics:
|
|
7 |
model-index:
|
8 |
- name: wav2vec2-base-finetune-vi-v2
|
9 |
results: []
|
10 |
-
widget:
|
11 |
-
- example_title: SOICT 2023 - SLU public test 1
|
12 |
-
src: >-
|
13 |
-
https://huggingface.co/foxxy-hm/wav2vec2-base-finetune-vi/raw/main/audio-test/055R7BruAa333g9teFfamQH.wav
|
14 |
-
- example_title: SOICT 2023 - SLU public test 2
|
15 |
-
src: >-
|
16 |
-
https://huggingface.co/foxxy-hm/wav2vec2-base-finetune-vi/raw/main/audio-test/0BLHhoJexE8THB8BrsZxWbh.wav
|
17 |
-
- example_title: SOICT 2023 - SLU public test 3
|
18 |
-
src: >-
|
19 |
-
https://huggingface.co/foxxy-hm/wav2vec2-base-finetune-vi/raw/main/audio-test/1ArUTGWJQ9YALH2xaNhU6GV.wav
|
20 |
---
|
21 |
|
22 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -26,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
26 |
|
27 |
This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) on the None dataset.
|
28 |
It achieves the following results on the evaluation set:
|
29 |
-
- Loss:
|
30 |
-
- Wer:
|
31 |
|
32 |
## Model description
|
33 |
|
@@ -46,20 +36,23 @@ More information needed
|
|
46 |
### Training hyperparameters
|
47 |
|
48 |
The following hyperparameters were used during training:
|
49 |
-
- learning_rate:
|
50 |
- train_batch_size: 8
|
51 |
- eval_batch_size: 8
|
52 |
- seed: 42
|
53 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
54 |
- lr_scheduler_type: linear
|
55 |
- lr_scheduler_warmup_steps: 1000
|
56 |
-
- num_epochs:
|
57 |
|
58 |
### Training results
|
59 |
|
60 |
-
| Training Loss | Epoch | Step | Validation Loss | Wer
|
61 |
-
|
62 |
-
|
|
|
|
|
|
|
|
63 |
|
64 |
|
65 |
### Framework versions
|
|
|
7 |
model-index:
|
8 |
- name: wav2vec2-base-finetune-vi-v2
|
9 |
results: []
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
10 |
---
|
11 |
|
12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
16 |
|
17 |
This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) on the None dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 4.6968
|
20 |
+
- Wer: 0.9698
|
21 |
|
22 |
## Model description
|
23 |
|
|
|
36 |
### Training hyperparameters
|
37 |
|
38 |
The following hyperparameters were used during training:
|
39 |
+
- learning_rate: 3e-05
|
40 |
- train_batch_size: 8
|
41 |
- eval_batch_size: 8
|
42 |
- seed: 42
|
43 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
44 |
- lr_scheduler_type: linear
|
45 |
- lr_scheduler_warmup_steps: 1000
|
46 |
+
- num_epochs: 3
|
47 |
|
48 |
### Training results
|
49 |
|
50 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
51 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
52 |
+
| 17.4813 | 0.67 | 500 | 5.4377 | 0.9996 |
|
53 |
+
| 5.4042 | 1.34 | 1000 | 5.0291 | 0.9996 |
|
54 |
+
| 4.836 | 2.0 | 1500 | 4.9688 | 0.9694 |
|
55 |
+
| 4.7651 | 2.67 | 2000 | 4.6968 | 0.9698 |
|
56 |
|
57 |
|
58 |
### Framework versions
|