tjohanne commited on
Commit
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1 Parent(s): 70dc63c

End of training

Browse files
README.md CHANGED
@@ -1,80 +1,82 @@
1
- ---
2
- language:
3
- - hin
4
- license: apache-2.0
5
- base_model: openai/whisper-small
6
- tags:
7
- - generated_from_trainer
8
- datasets:
9
- - mozilla-foundation/common_voice_11_0
10
- metrics:
11
- - wer
12
- model-index:
13
- - name: whisper-small-hi
14
- results:
15
- - task:
16
- name: Automatic Speech Recognition
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- type: automatic-speech-recognition
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- dataset:
19
- name: Common Voice 11.0
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- type: mozilla-foundation/common_voice_11_0
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- config: hi
22
- split: None
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- args: 'config: hi, split: test'
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- metrics:
25
- - name: Wer
26
- type: wer
27
- value: 57.901085645355856
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-hi
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: 0.8101
38
- - Wer: 57.9011
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: 16
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: 100
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- - training_steps: 200
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- - mixed_precision_training: Native AMP
66
-
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- ### Training results
68
-
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-------:|:----:|:---------------:|:-------:|
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- | 0.0677 | 7.6923 | 100 | 0.7070 | 58.7455 |
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- | 0.0025 | 15.3846 | 200 | 0.8101 | 57.9011 |
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-
74
-
75
- ### Framework versions
76
-
77
- - Transformers 4.40.2
78
- - Pytorch 2.1.0+cu118
79
- - Datasets 2.19.1
80
- - Tokenizers 0.19.1
 
 
 
1
+ ---
2
+ language:
3
+ - hin
4
+ license: apache-2.0
5
+ base_model: openai/whisper-small
6
+ tags:
7
+ - generated_from_trainer
8
+ datasets:
9
+ - mozilla-foundation/common_voice_11_0
10
+ metrics:
11
+ - wer
12
+ model-index:
13
+ - name: whisper-small-hi
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: hi
22
+ split: test
23
+ args: 'config: hi, split: test'
24
+ metrics:
25
+ - name: Wer
26
+ type: wer
27
+ value: 32.65893507153137
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-hi
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: 0.4409
38
+ - Wer: 32.6589
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: 16
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: 4000
65
+ - mixed_precision_training: Native AMP
66
+
67
+ ### Training results
68
+
69
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
70
+ |:-------------:|:------:|:----:|:---------------:|:-------:|
71
+ | 0.0918 | 2.4450 | 1000 | 0.2990 | 35.1816 |
72
+ | 0.0205 | 4.8900 | 2000 | 0.3532 | 33.4504 |
73
+ | 0.0016 | 7.3350 | 3000 | 0.4120 | 32.5489 |
74
+ | 0.0004 | 9.7800 | 4000 | 0.4409 | 32.6589 |
75
+
76
+
77
+ ### Framework versions
78
+
79
+ - Transformers 4.40.2
80
+ - Pytorch 2.3.0+cu121
81
+ - Datasets 2.19.1
82
+ - Tokenizers 0.19.1
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