Hugging Face's logo

skit-ai
/
speechllm-2B

Feature Extraction
Transformers
Safetensors
English
custom_model
multi-modal
speech-language
custom_code
Eval Results
Model card Files Community
shangeth commited on
Commit
a1cd3c4
•
1 Parent(s): ec1851c

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +5 -5
README.md CHANGED
@@ -24,7 +24,7 @@ model-index:
24
  language: en
25
  metrics:
26
  - type: wer
27
- value: 7.3
28
  name: Test WER
29
  - task:
30
  type: automatic-speech-recognition
@@ -38,7 +38,7 @@ model-index:
38
  language: en
39
  metrics:
40
  - type: wer
41
- value: 10.47
42
  name: Test WER
43
  - task:
44
  type: automatic-speech-recognition
@@ -64,10 +64,10 @@ model-index:
64
  language: en
65
  metrics:
66
  - type: accuracy
67
- value: 60.61
68
  name: Test Age Accuracy
69
  - type: accuracy
70
- value: 61.56
71
  name: Test Accent Accuracy
72
  ---
73
 
@@ -130,5 +130,5 @@ Try the model in [Google Colab Notebook](https://colab.research.google.com/drive
130
  |:----------------------:|:----------------------:|:-------------:|:----------:|:-------------:|
131
  | librispeech-test-clean | 6.73 | 0.9536 | | |
132
  | librispeech-test-other | 9.13 | 0.9099 | | |
133
- | CommonVoice test | 24.27 | 0.8680 | 0.6251 | 0.6451 |
134
 
 
24
  language: en
25
  metrics:
26
  - type: wer
27
+ value: 6.73
28
  name: Test WER
29
  - task:
30
  type: automatic-speech-recognition
 
38
  language: en
39
  metrics:
40
  - type: wer
41
+ value: 9.13
42
  name: Test WER
43
  - task:
44
  type: automatic-speech-recognition
 
64
  language: en
65
  metrics:
66
  - type: accuracy
67
+ value: 62.51
68
  name: Test Age Accuracy
69
  - type: accuracy
70
+ value: 64.57
71
  name: Test Accent Accuracy
72
  ---
73
 
 
130
  |:----------------------:|:----------------------:|:-------------:|:----------:|:-------------:|
131
  | librispeech-test-clean | 6.73 | 0.9536 | | |
132
  | librispeech-test-other | 9.13 | 0.9099 | | |
133
+ | CommonVoice test | 24.27 | 0.8680 | 0.6251 | 0.6457 |
134