Frorozcol commited on
Commit
c04816f
·
1 Parent(s): 5c4ecdb

End of training

Browse files
Files changed (2) hide show
  1. README.md +15 -17
  2. generation_config.json +10 -26
README.md CHANGED
@@ -1,42 +1,40 @@
1
  ---
2
- language:
3
- - dv
4
  license: apache-2.0
5
- base_model: openai/whisper-small
6
  tags:
7
  - generated_from_trainer
8
  datasets:
9
- - mozilla-foundation/common_voice_13_0
10
  metrics:
11
  - wer
12
  model-index:
13
- - name: Whisper Small Dv - Sanchit Gandhi
14
  results:
15
  - task:
16
  name: Automatic Speech Recognition
17
  type: automatic-speech-recognition
18
  dataset:
19
- name: Common Voice 13
20
- type: mozilla-foundation/common_voice_13_0
21
- config: dv
22
- split: test
23
- args: dv
24
  metrics:
25
  - name: Wer
26
  type: wer
27
- value: 12.72733595298536
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 Dv - Sanchit Gandhi
34
 
35
- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
36
  It achieves the following results on the evaluation set:
37
- - Loss: 0.1677
38
- - Wer Ortho: 62.0238
39
- - Wer: 12.7273
40
 
41
  ## Model description
42
 
@@ -68,7 +66,7 @@ The following hyperparameters were used during training:
68
 
69
  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
70
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
71
- | 0.1225 | 1.63 | 500 | 0.1677 | 62.0238 | 12.7273 |
72
 
73
 
74
  ### Framework versions
 
1
  ---
 
 
2
  license: apache-2.0
3
+ base_model: openai/whisper-tiny
4
  tags:
5
  - generated_from_trainer
6
  datasets:
7
+ - PolyAI/minds14
8
  metrics:
9
  - wer
10
  model-index:
11
+ - name: whisper-small-dv
12
  results:
13
  - task:
14
  name: Automatic Speech Recognition
15
  type: automatic-speech-recognition
16
  dataset:
17
+ name: PolyAI/minds14
18
+ type: PolyAI/minds14
19
+ config: en-US
20
+ split: train
21
+ args: en-US
22
  metrics:
23
  - name: Wer
24
  type: wer
25
+ value: 34.69072164948454
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-small-dv
32
 
33
+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.6369
36
+ - Wer Ortho: 35.1642
37
+ - Wer: 34.6907
38
 
39
  ## Model description
40
 
 
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
68
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
69
+ | 0.0007 | 17.86 | 500 | 0.6369 | 35.1642 | 34.6907 |
70
 
71
 
72
  ### Framework versions
generation_config.json CHANGED
@@ -1,43 +1,27 @@
1
  {
2
  "alignment_heads": [
3
  [
4
- 5,
5
- 3
6
- ],
7
- [
8
- 5,
9
- 9
10
  ],
11
  [
12
- 8,
13
  0
14
  ],
15
  [
16
- 8,
17
- 4
18
- ],
19
- [
20
- 8,
21
- 7
22
- ],
23
- [
24
- 8,
25
- 8
26
- ],
27
- [
28
- 9,
29
- 0
30
  ],
31
  [
32
- 9,
33
- 7
34
  ],
35
  [
36
- 9,
37
- 9
38
  ],
39
  [
40
- 10,
41
  5
42
  ]
43
  ],
 
1
  {
2
  "alignment_heads": [
3
  [
4
+ 2,
5
+ 2
 
 
 
 
6
  ],
7
  [
8
+ 3,
9
  0
10
  ],
11
  [
12
+ 3,
13
+ 2
 
 
 
 
 
 
 
 
 
 
 
 
14
  ],
15
  [
16
+ 3,
17
+ 3
18
  ],
19
  [
20
+ 3,
21
+ 4
22
  ],
23
  [
24
+ 3,
25
  5
26
  ]
27
  ],