EzraWilliam
commited on
Commit
•
2511428
1
Parent(s):
725988f
End of training
Browse files
README.md
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
---
|
2 |
license: apache-2.0
|
|
|
3 |
tags:
|
4 |
- generated_from_trainer
|
5 |
-
base_model: facebook/wav2vec2-large-xlsr-53
|
6 |
datasets:
|
7 |
- common_voice_13_0
|
8 |
metrics:
|
@@ -11,8 +11,8 @@ model-index:
|
|
11 |
- name: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod14
|
12 |
results:
|
13 |
- task:
|
14 |
-
type: automatic-speech-recognition
|
15 |
name: Automatic Speech Recognition
|
|
|
16 |
dataset:
|
17 |
name: common_voice_13_0
|
18 |
type: common_voice_13_0
|
@@ -20,9 +20,9 @@ model-index:
|
|
20 |
split: test
|
21 |
args: id
|
22 |
metrics:
|
23 |
-
-
|
24 |
-
|
25 |
-
|
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-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss:
|
36 |
-
- Wer:
|
37 |
|
38 |
## Model description
|
39 |
|
@@ -52,8 +52,8 @@ More information needed
|
|
52 |
### Training hyperparameters
|
53 |
|
54 |
The following hyperparameters were used during training:
|
55 |
-
- learning_rate: 0.
|
56 |
-
- train_batch_size:
|
57 |
- eval_batch_size: 8
|
58 |
- seed: 42
|
59 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
@@ -65,23 +65,23 @@ The following hyperparameters were used during training:
|
|
65 |
|
66 |
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
67 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
68 |
-
| 2.
|
69 |
-
| 2.
|
70 |
-
|
|
71 |
-
|
|
72 |
-
|
|
73 |
-
|
|
74 |
-
|
|
75 |
-
|
|
76 |
-
|
|
77 |
-
|
|
78 |
-
|
|
79 |
-
|
|
80 |
|
81 |
|
82 |
### Framework versions
|
83 |
|
84 |
-
- Transformers 4.
|
85 |
- Pytorch 2.2.2+cu121
|
86 |
- Datasets 2.18.0
|
87 |
-
- Tokenizers 0.
|
|
|
1 |
---
|
2 |
license: apache-2.0
|
3 |
+
base_model: facebook/wav2vec2-large-xlsr-53
|
4 |
tags:
|
5 |
- generated_from_trainer
|
|
|
6 |
datasets:
|
7 |
- common_voice_13_0
|
8 |
metrics:
|
|
|
11 |
- name: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod14
|
12 |
results:
|
13 |
- task:
|
|
|
14 |
name: Automatic Speech Recognition
|
15 |
+
type: automatic-speech-recognition
|
16 |
dataset:
|
17 |
name: common_voice_13_0
|
18 |
type: common_voice_13_0
|
|
|
20 |
split: test
|
21 |
args: id
|
22 |
metrics:
|
23 |
+
- name: Wer
|
24 |
+
type: wer
|
25 |
+
value: 0.32789454277286134
|
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-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 0.3505
|
36 |
+
- Wer: 0.3279
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
52 |
### Training hyperparameters
|
53 |
|
54 |
The following hyperparameters were used during training:
|
55 |
+
- learning_rate: 0.0001
|
56 |
+
- train_batch_size: 16
|
57 |
- eval_batch_size: 8
|
58 |
- seed: 42
|
59 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
|
65 |
|
66 |
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
67 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
68 |
+
| 2.9451 | 1.0 | 278 | 2.9182 | 1.0 |
|
69 |
+
| 2.87 | 2.0 | 556 | 2.7116 | 1.0 |
|
70 |
+
| 1.1102 | 3.0 | 834 | 0.6030 | 0.5907 |
|
71 |
+
| 0.6952 | 4.0 | 1112 | 0.4691 | 0.4755 |
|
72 |
+
| 0.5976 | 5.0 | 1390 | 0.4316 | 0.4263 |
|
73 |
+
| 0.4842 | 6.0 | 1668 | 0.3887 | 0.3842 |
|
74 |
+
| 0.4444 | 7.0 | 1946 | 0.3722 | 0.3670 |
|
75 |
+
| 0.4221 | 8.0 | 2224 | 0.3721 | 0.3538 |
|
76 |
+
| 0.3929 | 9.0 | 2502 | 0.3527 | 0.3463 |
|
77 |
+
| 0.3611 | 10.0 | 2780 | 0.3538 | 0.3386 |
|
78 |
+
| 0.3669 | 11.0 | 3058 | 0.3513 | 0.3303 |
|
79 |
+
| 0.3517 | 12.0 | 3336 | 0.3505 | 0.3279 |
|
80 |
|
81 |
|
82 |
### Framework versions
|
83 |
|
84 |
+
- Transformers 4.40.0
|
85 |
- Pytorch 2.2.2+cu121
|
86 |
- Datasets 2.18.0
|
87 |
+
- Tokenizers 0.19.1
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1261991980
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0f98d6f88e04a591ed3ecccf2a3ce79285dbb9929743c9f0a858beb1ddb4ac41
|
3 |
size 1261991980
|
runs/Apr18_17-39-16_549c0851f499/events.out.tfevents.1713462074.549c0851f499.577.0
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:c8a1cc7a4a62a60c10635c829e9805a0b63398c9c05a5fbab504f05f9b54b97c
|
3 |
+
size 17594
|