MohammedNasri commited on
Commit
570759d
1 Parent(s): ff8cb13

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +6 -6
README.md CHANGED
@@ -6,18 +6,18 @@ tags:
6
  - hf-asr-leaderboard
7
  - generated_from_trainer
8
  datasets:
9
- - Seyfelislem/Cv_11_no_diacs
10
  metrics:
11
  - wer
12
  model-index:
13
- - name: openai-whisper-Large-Mohammed
14
  results:
15
  - task:
16
  name: Automatic Speech Recognition
17
  type: automatic-speech-recognition
18
  dataset:
19
- name: Common Voice 11.0 without diacs
20
- type: Seyfelislem/Cv_11_no_diacs
21
  config: null
22
  split: test
23
  args: 'config: ar, split: test'
@@ -30,9 +30,9 @@ model-index:
30
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
31
  should probably proofread and complete it, then remove this comment. -->
32
 
33
- # openai-whisper-Large-Mohammed
34
 
35
- This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the Common Voice 11.0 without diacs dataset.
36
  It achieves the following results on the evaluation set:
37
  - Loss: 0.2872
38
  - Wer: 24.8545
 
6
  - hf-asr-leaderboard
7
  - generated_from_trainer
8
  datasets:
9
+ - mozilla-foundation/common_voice_11_0
10
  metrics:
11
  - wer
12
  model-index:
13
+ - name: Whisper Large ar - MohammedNasri
14
  results:
15
  - task:
16
  name: Automatic Speech Recognition
17
  type: automatic-speech-recognition
18
  dataset:
19
+ name: Common Voice 11.0
20
+ type: mozilla-foundation/common_voice_11_0
21
  config: null
22
  split: test
23
  args: 'config: ar, split: test'
 
30
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
31
  should probably proofread and complete it, then remove this comment. -->
32
 
33
+ # Whisper Large ar - MohammedNasri
34
 
35
+ This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the Common Voice 11.0 dataset.
36
  It achieves the following results on the evaluation set:
37
  - Loss: 0.2872
38
  - Wer: 24.8545