julie200 commited on
Commit
9d5217f
1 Parent(s): 030bb9f

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +10 -9
README.md CHANGED
@@ -1,38 +1,39 @@
1
  ---
2
  license: apache-2.0
3
  tags:
 
4
  - generated_from_trainer
5
  datasets:
6
- - fleurs
7
  metrics:
8
  - wer
9
  model-index:
10
- - name: openai/whisper-small
11
  results:
12
  - task:
13
  name: Automatic Speech Recognition
14
  type: automatic-speech-recognition
15
  dataset:
16
- name: fleurs
17
- type: fleurs
18
  config: mi_nz
19
  split: test
20
  args: mi_nz
21
  metrics:
22
  - name: Wer
23
  type: wer
24
- value: 31.516343240281092
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
28
  should probably proofread and complete it, then remove this comment. -->
29
 
30
- # openai/whisper-small
31
 
32
- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the fleurs dataset.
33
  It achieves the following results on the evaluation set:
34
- - Loss: 0.8372
35
- - Wer: 31.5163
36
 
37
  ## Model description
38
 
 
1
  ---
2
  license: apache-2.0
3
  tags:
4
+ - whisper-event
5
  - generated_from_trainer
6
  datasets:
7
+ - google/fleurs
8
  metrics:
9
  - wer
10
  model-index:
11
+ - name: Whisper Small Maori
12
  results:
13
  - task:
14
  name: Automatic Speech Recognition
15
  type: automatic-speech-recognition
16
  dataset:
17
+ name: google/fleurs mi_nz
18
+ type: google/fleurs
19
  config: mi_nz
20
  split: test
21
  args: mi_nz
22
  metrics:
23
  - name: Wer
24
  type: wer
25
+ value: 30.481593707691317
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
  should probably proofread and complete it, then remove this comment. -->
30
 
31
+ # Whisper Small Maori
32
 
33
+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the google/fleurs mi_nz dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.7756
36
+ - Wer: 30.4816
37
 
38
  ## Model description
39