hippopotam commited on
Commit
d0c7f21
1 Parent(s): 6c974fc

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +9 -5
README.md CHANGED
@@ -1,6 +1,10 @@
1
  ---
 
 
2
  license: apache-2.0
3
  tags:
 
 
4
  - generated_from_trainer
5
  datasets:
6
  - common_voice_13_0
@@ -13,15 +17,15 @@ model-index:
13
  name: Automatic Speech Recognition
14
  type: automatic-speech-recognition
15
  dataset:
16
- name: common_voice_13_0
17
  type: common_voice_13_0
18
  config: tr
19
  split: test
20
- args: tr
21
  metrics:
22
  - name: Wer
23
  type: wer
24
- value: 0.2934764687562973
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
29
 
30
  # wav2vec2-common_voice13
31
 
32
- 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.
33
  It achieves the following results on the evaluation set:
34
  - Loss: 0.3366
35
- - Wer: 0.2935
36
 
37
  ## Model description
38
 
 
1
  ---
2
+ language:
3
+ - tr
4
  license: apache-2.0
5
  tags:
6
+ - automatic-speech-recognition
7
+ - mozilla-foundation/common_voice_13_0
8
  - generated_from_trainer
9
  datasets:
10
  - common_voice_13_0
 
17
  name: Automatic Speech Recognition
18
  type: automatic-speech-recognition
19
  dataset:
20
+ name: MOZILLA-FOUNDATION/COMMON_VOICE_13_0 - TR
21
  type: common_voice_13_0
22
  config: tr
23
  split: test
24
+ args: 'Config: tr, Training split: train+validation, Eval split: test'
25
  metrics:
26
  - name: Wer
27
  type: wer
28
+ value: 0.2936963013171634
29
  ---
30
 
31
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
33
 
34
  # wav2vec2-common_voice13
35
 
36
+ This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the MOZILLA-FOUNDATION/COMMON_VOICE_13_0 - TR dataset.
37
  It achieves the following results on the evaluation set:
38
  - Loss: 0.3366
39
+ - Wer: 0.2937
40
 
41
  ## Model description
42