CheeLi03 commited on
Commit
6427629
·
verified ·
1 Parent(s): ca5cb9b

End of training

Browse files
Files changed (2) hide show
  1. README.md +19 -19
  2. generation_config.json +10 -18
README.md CHANGED
@@ -1,21 +1,21 @@
1
  ---
2
- base_model: openai/whisper-base
3
- datasets:
4
- - fleurs
5
  language:
6
  - it
7
  license: apache-2.0
8
- metrics:
9
- - wer
10
  tags:
11
  - hf-asr-leaderboard
12
  - generated_from_trainer
 
 
 
 
13
  model-index:
14
- - name: Whisper Tiny Itlian - Chee Li
15
  results:
16
  - task:
17
- type: automatic-speech-recognition
18
  name: Automatic Speech Recognition
 
19
  dataset:
20
  name: Google Fleurs
21
  type: fleurs
@@ -23,20 +23,20 @@ model-index:
23
  split: None
24
  args: 'config: it split: test'
25
  metrics:
26
- - type: wer
27
- value: 28.895899053627762
28
- name: Wer
29
  ---
30
 
31
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
32
  should probably proofread and complete it, then remove this comment. -->
33
 
34
- # Whisper Tiny Itlian - Chee Li
35
 
36
- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Google Fleurs dataset.
37
  It achieves the following results on the evaluation set:
38
- - Loss: 0.5007
39
- - Wer: 28.8959
40
 
41
  ## Model description
42
 
@@ -69,11 +69,11 @@ The following hyperparameters were used during training:
69
 
70
  | Training Loss | Epoch | Step | Validation Loss | Wer |
71
  |:-------------:|:-------:|:----:|:---------------:|:-------:|
72
- | 0.0648 | 4.6729 | 1000 | 0.3617 | 28.7455 |
73
- | 0.0048 | 9.3458 | 2000 | 0.4424 | 26.5858 |
74
- | 0.0025 | 14.0187 | 3000 | 0.4710 | 28.1291 |
75
- | 0.0016 | 18.6916 | 4000 | 0.4928 | 28.2601 |
76
- | 0.0013 | 23.3645 | 5000 | 0.5007 | 28.8959 |
77
 
78
 
79
  ### Framework versions
 
1
  ---
 
 
 
2
  language:
3
  - it
4
  license: apache-2.0
5
+ base_model: openai/whisper-tiny
 
6
  tags:
7
  - hf-asr-leaderboard
8
  - generated_from_trainer
9
+ datasets:
10
+ - fleurs
11
+ metrics:
12
+ - wer
13
  model-index:
14
+ - name: Whisper Tiny Italian 5k - Chee Li
15
  results:
16
  - task:
 
17
  name: Automatic Speech Recognition
18
+ type: automatic-speech-recognition
19
  dataset:
20
  name: Google Fleurs
21
  type: fleurs
 
23
  split: None
24
  args: 'config: it split: test'
25
  metrics:
26
+ - name: Wer
27
+ type: wer
28
+ value: 50.93909245328804
29
  ---
30
 
31
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
32
  should probably proofread and complete it, then remove this comment. -->
33
 
34
+ # Whisper Tiny Italian 5k - Chee Li
35
 
36
+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Google Fleurs dataset.
37
  It achieves the following results on the evaluation set:
38
+ - Loss: 0.6896
39
+ - Wer: 50.9391
40
 
41
  ## Model description
42
 
 
69
 
70
  | Training Loss | Epoch | Step | Validation Loss | Wer |
71
  |:-------------:|:-------:|:----:|:---------------:|:-------:|
72
+ | 0.195 | 4.6729 | 1000 | 0.4900 | 53.7054 |
73
+ | 0.0248 | 9.3458 | 2000 | 0.5791 | 61.4365 |
74
+ | 0.0076 | 14.0187 | 3000 | 0.6469 | 54.1907 |
75
+ | 0.0044 | 18.6916 | 4000 | 0.6788 | 51.7641 |
76
+ | 0.0036 | 23.3645 | 5000 | 0.6896 | 50.9391 |
77
 
78
 
79
  ### Framework versions
generation_config.json CHANGED
@@ -1,36 +1,28 @@
1
  {
2
  "alignment_heads": [
3
  [
4
- 3,
5
- 1
6
- ],
7
- [
8
- 4,
9
  2
10
  ],
11
  [
12
- 4,
13
- 3
14
- ],
15
- [
16
- 4,
17
- 7
18
  ],
19
  [
20
- 5,
21
- 1
22
  ],
23
  [
24
- 5,
25
- 2
26
  ],
27
  [
28
- 5,
29
  4
30
  ],
31
  [
32
- 5,
33
- 6
34
  ]
35
  ],
36
  "begin_suppress_tokens": [
 
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
  ],
28
  "begin_suppress_tokens": [