glenn2 commited on
Commit
a131771
1 Parent(s): 3d368b9

End of training

Browse files
Files changed (1) hide show
  1. README.md +32 -4
README.md CHANGED
@@ -7,17 +7,35 @@ tags:
7
  - generated_from_trainer
8
  datasets:
9
  - mozilla-foundation/common_voice_11_0
 
 
10
  model-index:
11
- - name: Whisper Small En 2
12
- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
13
  ---
14
 
15
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
16
  should probably proofread and complete it, then remove this comment. -->
17
 
18
- # Whisper Small En 2
19
 
20
- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 
 
 
21
 
22
  ## Model description
23
 
@@ -46,6 +64,16 @@ The following hyperparameters were used during training:
46
  - training_steps: 4000
47
  - mixed_precision_training: Native AMP
48
 
 
 
 
 
 
 
 
 
 
 
49
  ### Framework versions
50
 
51
  - Transformers 4.39.3
 
7
  - generated_from_trainer
8
  datasets:
9
  - mozilla-foundation/common_voice_11_0
10
+ metrics:
11
+ - wer
12
  model-index:
13
+ - name: Whisper Small En 3
14
+ results:
15
+ - task:
16
+ name: Automatic Speech Recognition
17
+ type: automatic-speech-recognition
18
+ dataset:
19
+ name: Common Voice 3.0
20
+ type: mozilla-foundation/common_voice_11_0
21
+ config: en
22
+ split: None
23
+ args: 'config: hi, split: test'
24
+ metrics:
25
+ - name: Wer
26
+ type: wer
27
+ value: 361.776131866536
28
  ---
29
 
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 Small En 3
34
 
35
+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 3.0 dataset.
36
+ It achieves the following results on the evaluation set:
37
+ - Loss: 0.3916
38
+ - Wer: 361.7761
39
 
40
  ## Model description
41
 
 
64
  - training_steps: 4000
65
  - mixed_precision_training: Native AMP
66
 
67
+ ### Training results
68
+
69
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
70
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
71
+ | 0.5756 | 1.34 | 1000 | 0.2520 | 187.0784 |
72
+ | 0.3595 | 2.67 | 2000 | 0.2722 | 359.6159 |
73
+ | 0.3034 | 4.01 | 3000 | 0.3342 | 304.8905 |
74
+ | 0.1605 | 5.34 | 4000 | 0.3916 | 361.7761 |
75
+
76
+
77
  ### Framework versions
78
 
79
  - Transformers 4.39.3