MohammedNasri commited on
Commit
50c0550
1 Parent(s): fd2486f

End of training

Browse files
.ipynb_checkpoints/README-checkpoint.md ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
3
+ - ar
4
+ license: apache-2.0
5
+ tags:
6
+ - hf-asr-leaderboard
7
+ - generated_from_trainer
8
+ datasets:
9
+ - mozilla-foundation/common_voice_11_0
10
+ metrics:
11
+ - wer
12
+ model-index:
13
+ - name: Whisper Small ar - Mohammed
14
+ results:
15
+ - task:
16
+ name: Automatic Speech Recognition
17
+ type: automatic-speech-recognition
18
+ dataset:
19
+ name: Common Voice 11.0
20
+ type: mozilla-foundation/common_voice_11_0
21
+ config: ar
22
+ split: test
23
+ args: 'config: ar, split: test'
24
+ metrics:
25
+ - name: Wer
26
+ type: wer
27
+ value: 42.703149389404096
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 ar - Mohammed
34
+
35
+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
36
+ It achieves the following results on the evaluation set:
37
+ - Loss: 0.3103
38
+ - Wer: 42.7031
39
+
40
+ ## Model description
41
+
42
+ More information needed
43
+
44
+ ## Intended uses & limitations
45
+
46
+ More information needed
47
+
48
+ ## Training and evaluation data
49
+
50
+ More information needed
51
+
52
+ ## Training procedure
53
+
54
+ ### Training hyperparameters
55
+
56
+ The following hyperparameters were used during training:
57
+ - learning_rate: 1e-05
58
+ - train_batch_size: 8
59
+ - eval_batch_size: 8
60
+ - seed: 42
61
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
+ - lr_scheduler_type: linear
63
+ - lr_scheduler_warmup_steps: 500
64
+ - training_steps: 2000
65
+ - mixed_precision_training: Native AMP
66
+
67
+ ### Training results
68
+
69
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
70
+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
71
+ | 0.1726 | 0.1 | 1000 | 0.3479 | 47.0994 |
72
+ | 0.2511 | 0.2 | 2000 | 0.3103 | 42.7031 |
73
+
74
+
75
+ ### Framework versions
76
+
77
+ - Transformers 4.26.0
78
+ - Pytorch 1.12.1
79
+ - Datasets 2.7.0
80
+ - Tokenizers 0.13.2
README.md CHANGED
@@ -18,7 +18,7 @@ model-index:
18
  dataset:
19
  name: Common Voice 11.0
20
  type: mozilla-foundation/common_voice_11_0
21
- config: null
22
  split: test
23
  args: 'config: ar, split: test'
24
  metrics:
 
18
  dataset:
19
  name: Common Voice 11.0
20
  type: mozilla-foundation/common_voice_11_0
21
+ config: ar
22
  split: test
23
  args: 'config: ar, split: test'
24
  metrics: