ihanif commited on
Commit
dc52708
·
1 Parent(s): 5ea2ca4

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +9 -10
README.md CHANGED
@@ -1,39 +1,38 @@
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 Tiny Pashto
12
  results:
13
  - task:
14
  name: Automatic Speech Recognition
15
  type: automatic-speech-recognition
16
  dataset:
17
- name: google/fleurs ps_af
18
- type: google/fleurs
19
  config: ps_af
20
  split: test
21
  args: ps_af
22
  metrics:
23
  - name: Wer
24
  type: wer
25
- value: 60.05599273607748
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 Tiny Pashto
32
 
33
- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the google/fleurs ps_af dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.8710
36
- - Wer: 60.0560
37
 
38
  ## Model description
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-base
11
  results:
12
  - task:
13
  name: Automatic Speech Recognition
14
  type: automatic-speech-recognition
15
  dataset:
16
+ name: fleurs
17
+ type: fleurs
18
  config: ps_af
19
  split: test
20
  args: ps_af
21
  metrics:
22
  - name: Wer
23
  type: wer
24
+ value: 59.042070217917676
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-base
31
 
32
+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the fleurs dataset.
33
  It achieves the following results on the evaluation set:
34
+ - Loss: 0.9485
35
+ - Wer: 59.0421
36
 
37
  ## Model description
38