Hugging Face's logo

mozilla-ai
/
whisper-small-fr

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
French
whisper
Eval Results
Model card Files Metrics Community
kostissz commited on
Commit
55a3c03
·
verified ·
1 Parent(s): de65a6b

End of training

Browse files
Files changed (3) hide show
  1. README.md +48 -9
  2. model.safetensors +1 -1
  3. runs/Feb27_13-12-56_gpu-pod/events.out.tfevents.1740745941.gpu-pod.38579.1 +3 -0
README.md CHANGED
@@ -18,12 +18,12 @@ model-index:
18
  name: common_voice_17_0
19
  type: common_voice_17_0
20
  config: fr
21
- split: None
22
  args: fr
23
  metrics:
24
  - name: Wer
25
  type: wer
26
- value: 25.925925925925924
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
33
 
34
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
35
  It achieves the following results on the evaluation set:
36
- - Loss: 0.5422
37
- - Model Preparation Time: 0.0046
38
- - Wer: 25.9259
39
 
40
  ## Model description
41
 
@@ -61,14 +61,53 @@ The following hyperparameters were used during training:
61
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
62
  - lr_scheduler_type: linear
63
  - lr_scheduler_warmup_steps: 50
64
- - training_steps: 50
65
  - mixed_precision_training: Native AMP
66
 
67
  ### Training results
68
 
69
- | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer |
70
- |:-------------:|:-----:|:----:|:---------------:|:----------------------:|:-------:|
71
- | 0.2611 | 50.0 | 50 | 0.5422 | 0.0046 | 25.9259 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
72
 
73
 
74
  ### Framework versions
 
18
  name: common_voice_17_0
19
  type: common_voice_17_0
20
  config: fr
21
+ split: test
22
  args: fr
23
  metrics:
24
  - name: Wer
25
  type: wer
26
+ value: 23.51069802258125
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
33
 
34
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
35
  It achieves the following results on the evaluation set:
36
+ - Loss: 0.4490
37
+ - Model Preparation Time: 0.0042
38
+ - Wer: 23.5107
39
 
40
  ## Model description
41
 
 
61
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
62
  - lr_scheduler_type: linear
63
  - lr_scheduler_warmup_steps: 50
64
+ - training_steps: 2000
65
  - mixed_precision_training: Native AMP
66
 
67
  ### Training results
68
 
69
+ | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer |
70
+ |:-------------:|:-------:|:----:|:---------------:|:----------------------:|:-------:|
71
+ | 0.6515 | 0.6410 | 50 | 0.4803 | 0.0042 | 25.5359 |
72
+ | 0.3297 | 1.2821 | 100 | 0.4457 | 0.0042 | 23.9349 |
73
+ | 0.2733 | 1.9231 | 150 | 0.4333 | 0.0042 | 23.5294 |
74
+ | 0.2003 | 2.5641 | 200 | 0.4395 | 0.0042 | 23.5419 |
75
+ | 0.1763 | 3.2051 | 250 | 0.4479 | 0.0042 | 23.7748 |
76
+ | 0.1354 | 3.8462 | 300 | 0.4490 | 0.0042 | 23.5107 |
77
+ | 0.105 | 4.4872 | 350 | 0.4650 | 0.0042 | 23.8871 |
78
+ | 0.089 | 5.1282 | 400 | 0.4833 | 0.0042 | 24.1844 |
79
+ | 0.0629 | 5.7692 | 450 | 0.4929 | 0.0042 | 24.3882 |
80
+ | 0.0499 | 6.4103 | 500 | 0.5136 | 0.0042 | 24.6647 |
81
+ | 0.0406 | 7.0513 | 550 | 0.5226 | 0.0042 | 24.5878 |
82
+ | 0.0276 | 7.6923 | 600 | 0.5368 | 0.0042 | 25.3197 |
83
+ | 0.0238 | 8.3333 | 650 | 0.5504 | 0.0042 | 24.6003 |
84
+ | 0.0193 | 8.9744 | 700 | 0.5593 | 0.0042 | 25.0140 |
85
+ | 0.0146 | 9.6154 | 750 | 0.5718 | 0.0042 | 25.0203 |
86
+ | 0.0133 | 10.2564 | 800 | 0.5816 | 0.0042 | 25.0556 |
87
+ | 0.0115 | 10.8974 | 850 | 0.5867 | 0.0042 | 24.9849 |
88
+ | 0.0099 | 11.5385 | 900 | 0.5946 | 0.0042 | 25.0120 |
89
+ | 0.0091 | 12.1795 | 950 | 0.6006 | 0.0042 | 24.9787 |
90
+ | 0.0081 | 12.8205 | 1000 | 0.6056 | 0.0042 | 25.1471 |
91
+ | 0.0075 | 13.4615 | 1050 | 0.6114 | 0.0042 | 25.0972 |
92
+ | 0.0072 | 14.1026 | 1100 | 0.6166 | 0.0042 | 25.0993 |
93
+ | 0.0065 | 14.7436 | 1150 | 0.6198 | 0.0042 | 25.1430 |
94
+ | 0.0062 | 15.3846 | 1200 | 0.6249 | 0.0042 | 25.2968 |
95
+ | 0.006 | 16.0256 | 1250 | 0.6270 | 0.0042 | 25.1637 |
96
+ | 0.0055 | 16.6667 | 1300 | 0.6311 | 0.0042 | 25.1741 |
97
+ | 0.0053 | 17.3077 | 1350 | 0.6344 | 0.0042 | 25.2428 |
98
+ | 0.0051 | 17.9487 | 1400 | 0.6371 | 0.0042 | 25.2677 |
99
+ | 0.0048 | 18.5897 | 1450 | 0.6397 | 0.0042 | 25.3072 |
100
+ | 0.0048 | 19.2308 | 1500 | 0.6418 | 0.0042 | 25.2532 |
101
+ | 0.0046 | 19.8718 | 1550 | 0.6443 | 0.0042 | 25.3093 |
102
+ | 0.0044 | 20.5128 | 1600 | 0.6460 | 0.0042 | 25.2344 |
103
+ | 0.0043 | 21.1538 | 1650 | 0.6479 | 0.0042 | 25.2739 |
104
+ | 0.0042 | 21.7949 | 1700 | 0.6493 | 0.0042 | 25.2802 |
105
+ | 0.0042 | 22.4359 | 1750 | 0.6506 | 0.0042 | 25.3155 |
106
+ | 0.0041 | 23.0769 | 1800 | 0.6519 | 0.0042 | 25.2864 |
107
+ | 0.004 | 23.7179 | 1850 | 0.6528 | 0.0042 | 25.2719 |
108
+ | 0.004 | 24.3590 | 1900 | 0.6531 | 0.0042 | 25.2677 |
109
+ | 0.0039 | 25.0 | 1950 | 0.6538 | 0.0042 | 25.2781 |
110
+ | 0.0039 | 25.6410 | 2000 | 0.6540 | 0.0042 | 25.2802 |
111
 
112
 
113
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:161ef2e2a7d90ae81f29a223e84442c36daf2ecae8323dfafb46d03c1ad71ce4
3
  size 966995080
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5057b469dc59be54bca600aacb1039ae79282388489b19d7d18c3e581e7597fb
3
  size 966995080
runs/Feb27_13-12-56_gpu-pod/events.out.tfevents.1740745941.gpu-pod.38579.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed01f0d4bd216695df4577bd431454473faf7a6b04724133a6965e46a941a975
3
+ size 472