Librarian Bot: Add base_model information to model
#1
by
librarian-bot
- opened
README.md
CHANGED
|
@@ -1,8 +1,7 @@
|
|
| 1 |
---
|
| 2 |
-
license: apache-2.0
|
| 3 |
language: fr
|
|
|
|
| 4 |
library_name: transformers
|
| 5 |
-
thumbnail: null
|
| 6 |
tags:
|
| 7 |
- automatic-speech-recognition
|
| 8 |
- hf-asr-leaderboard
|
|
@@ -15,12 +14,13 @@ datasets:
|
|
| 15 |
- gigant/african_accented_french
|
| 16 |
metrics:
|
| 17 |
- wer
|
|
|
|
| 18 |
model-index:
|
| 19 |
- name: Fine-tuned whisper-large-v2 model for ASR in French
|
| 20 |
results:
|
| 21 |
- task:
|
| 22 |
-
name: Automatic Speech Recognition
|
| 23 |
type: automatic-speech-recognition
|
|
|
|
| 24 |
dataset:
|
| 25 |
name: Common Voice 11.0
|
| 26 |
type: mozilla-foundation/common_voice_11_0
|
|
@@ -28,15 +28,15 @@ model-index:
|
|
| 28 |
split: test
|
| 29 |
args: fr
|
| 30 |
metrics:
|
| 31 |
-
-
|
| 32 |
-
type: wer
|
| 33 |
value: 8.15
|
| 34 |
-
|
| 35 |
-
|
| 36 |
value: 7.83
|
|
|
|
| 37 |
- task:
|
| 38 |
-
name: Automatic Speech Recognition
|
| 39 |
type: automatic-speech-recognition
|
|
|
|
| 40 |
dataset:
|
| 41 |
name: Multilingual LibriSpeech (MLS)
|
| 42 |
type: facebook/multilingual_librispeech
|
|
@@ -44,15 +44,15 @@ model-index:
|
|
| 44 |
split: test
|
| 45 |
args: french
|
| 46 |
metrics:
|
| 47 |
-
-
|
| 48 |
-
|
| 49 |
-
|
| 50 |
-
-
|
| 51 |
-
type: wer
|
| 52 |
value: 4.03
|
|
|
|
| 53 |
- task:
|
| 54 |
-
name: Automatic Speech Recognition
|
| 55 |
type: automatic-speech-recognition
|
|
|
|
| 56 |
dataset:
|
| 57 |
name: VoxPopuli
|
| 58 |
type: facebook/voxpopuli
|
|
@@ -60,15 +60,15 @@ model-index:
|
|
| 60 |
split: test
|
| 61 |
args: fr
|
| 62 |
metrics:
|
| 63 |
-
-
|
| 64 |
-
|
| 65 |
-
|
| 66 |
-
-
|
| 67 |
-
type: wer
|
| 68 |
value: 8.66
|
|
|
|
| 69 |
- task:
|
| 70 |
-
name: Automatic Speech Recognition
|
| 71 |
type: automatic-speech-recognition
|
|
|
|
| 72 |
dataset:
|
| 73 |
name: Fleurs
|
| 74 |
type: google/fleurs
|
|
@@ -76,15 +76,15 @@ model-index:
|
|
| 76 |
split: test
|
| 77 |
args: fr_fr
|
| 78 |
metrics:
|
| 79 |
-
-
|
| 80 |
-
type: wer
|
| 81 |
value: 5.22
|
| 82 |
-
|
| 83 |
-
|
| 84 |
value: 4.98
|
|
|
|
| 85 |
- task:
|
| 86 |
-
name: Automatic Speech Recognition
|
| 87 |
type: automatic-speech-recognition
|
|
|
|
| 88 |
dataset:
|
| 89 |
name: African Accented French
|
| 90 |
type: gigant/african_accented_french
|
|
@@ -92,12 +92,12 @@ model-index:
|
|
| 92 |
split: test
|
| 93 |
args: fr
|
| 94 |
metrics:
|
| 95 |
-
-
|
| 96 |
-
type: wer
|
| 97 |
value: 4.58
|
| 98 |
-
|
| 99 |
-
|
| 100 |
value: 4.31
|
|
|
|
| 101 |
---
|
| 102 |
|
| 103 |
<style>
|
|
|
|
| 1 |
---
|
|
|
|
| 2 |
language: fr
|
| 3 |
+
license: apache-2.0
|
| 4 |
library_name: transformers
|
|
|
|
| 5 |
tags:
|
| 6 |
- automatic-speech-recognition
|
| 7 |
- hf-asr-leaderboard
|
|
|
|
| 14 |
- gigant/african_accented_french
|
| 15 |
metrics:
|
| 16 |
- wer
|
| 17 |
+
base_model: openai/whisper-large-v2
|
| 18 |
model-index:
|
| 19 |
- name: Fine-tuned whisper-large-v2 model for ASR in French
|
| 20 |
results:
|
| 21 |
- task:
|
|
|
|
| 22 |
type: automatic-speech-recognition
|
| 23 |
+
name: Automatic Speech Recognition
|
| 24 |
dataset:
|
| 25 |
name: Common Voice 11.0
|
| 26 |
type: mozilla-foundation/common_voice_11_0
|
|
|
|
| 28 |
split: test
|
| 29 |
args: fr
|
| 30 |
metrics:
|
| 31 |
+
- type: wer
|
|
|
|
| 32 |
value: 8.15
|
| 33 |
+
name: WER (Greedy)
|
| 34 |
+
- type: wer
|
| 35 |
value: 7.83
|
| 36 |
+
name: WER (Beam 5)
|
| 37 |
- task:
|
|
|
|
| 38 |
type: automatic-speech-recognition
|
| 39 |
+
name: Automatic Speech Recognition
|
| 40 |
dataset:
|
| 41 |
name: Multilingual LibriSpeech (MLS)
|
| 42 |
type: facebook/multilingual_librispeech
|
|
|
|
| 44 |
split: test
|
| 45 |
args: french
|
| 46 |
metrics:
|
| 47 |
+
- type: wer
|
| 48 |
+
value: 4.2
|
| 49 |
+
name: WER (Greedy)
|
| 50 |
+
- type: wer
|
|
|
|
| 51 |
value: 4.03
|
| 52 |
+
name: WER (Beam 5)
|
| 53 |
- task:
|
|
|
|
| 54 |
type: automatic-speech-recognition
|
| 55 |
+
name: Automatic Speech Recognition
|
| 56 |
dataset:
|
| 57 |
name: VoxPopuli
|
| 58 |
type: facebook/voxpopuli
|
|
|
|
| 60 |
split: test
|
| 61 |
args: fr
|
| 62 |
metrics:
|
| 63 |
+
- type: wer
|
| 64 |
+
value: 9.1
|
| 65 |
+
name: WER (Greedy)
|
| 66 |
+
- type: wer
|
|
|
|
| 67 |
value: 8.66
|
| 68 |
+
name: WER (Beam 5)
|
| 69 |
- task:
|
|
|
|
| 70 |
type: automatic-speech-recognition
|
| 71 |
+
name: Automatic Speech Recognition
|
| 72 |
dataset:
|
| 73 |
name: Fleurs
|
| 74 |
type: google/fleurs
|
|
|
|
| 76 |
split: test
|
| 77 |
args: fr_fr
|
| 78 |
metrics:
|
| 79 |
+
- type: wer
|
|
|
|
| 80 |
value: 5.22
|
| 81 |
+
name: WER (Greedy)
|
| 82 |
+
- type: wer
|
| 83 |
value: 4.98
|
| 84 |
+
name: WER (Beam 5)
|
| 85 |
- task:
|
|
|
|
| 86 |
type: automatic-speech-recognition
|
| 87 |
+
name: Automatic Speech Recognition
|
| 88 |
dataset:
|
| 89 |
name: African Accented French
|
| 90 |
type: gigant/african_accented_french
|
|
|
|
| 92 |
split: test
|
| 93 |
args: fr
|
| 94 |
metrics:
|
| 95 |
+
- type: wer
|
|
|
|
| 96 |
value: 4.58
|
| 97 |
+
name: WER (Greedy)
|
| 98 |
+
- type: wer
|
| 99 |
value: 4.31
|
| 100 |
+
name: WER (Beam 5)
|
| 101 |
---
|
| 102 |
|
| 103 |
<style>
|