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kingabzpro
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whisper-large-v3-turbo-urdu

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
urdu
mozilla-foundation/common_voice_17_0
hf-asr-leaderboard
Eval Results
Model card Files
xet
Metrics Community
kingabzpro commited on
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End of training

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  1. README.md +36 -65
  2. config.json +2 -3
  3. generation_config.json +3 -1
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README.md CHANGED
@@ -18,15 +18,12 @@ model-index:
18
  name: common_voice_17_0
19
  type: common_voice_17_0
20
  config: ur
21
- split: test[:400]
22
  args: ur
23
  metrics:
24
  - name: Wer
25
  type: wer
26
- value: 0.38257142857142856
27
- language:
28
- - ur
29
- pipeline_tag: automatic-speech-recognition
30
  ---
31
 
32
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,75 +33,49 @@ should probably proofread and complete it, then remove this comment. -->
36
 
37
  This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the common_voice_17_0 dataset.
38
  It achieves the following results on the evaluation set:
39
- - Loss: 0.4630
40
- - Wer: 0.3826
41
-
42
-
43
- ## Usage
44
-
45
- ```python
46
- from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
47
- from datasets import load_dataset
48
- import torch, warnings, os
49
-
50
- device = "cuda:0"
51
- torch_dtype = torch.float16
52
- model_id = "kingabzpro/whisper-large-v3-turbo-urdu"
53
-
54
- model = AutoModelForSpeechSeq2Seq.from_pretrained(
55
- model_id, torch_dtype=torch_dtype, use_safetensors=True
56
- ).to(device)
57
- model.generation_config.forced_decoder_ids = None
58
- processor = AutoProcessor.from_pretrained(model_id)
59
-
60
- pipe = pipeline(
61
- "automatic-speech-recognition",
62
- model=model,
63
- tokenizer=processor.tokenizer,
64
- feature_extractor=processor.feature_extractor,
65
- torch_dtype=torch_dtype,
66
- device=device,
67
- )
68
-
69
- ds = load_dataset("mozilla-foundation/common_voice_17_0", "ur", split="test")
70
- audio = ds[100]["audio"]
71
-
72
- result = pipe(audio)
73
- print("Original :", ds[100]['sentence'])
74
- print("Predicted :", result["text"])
75
- ```
76
- ```sh
77
- Original : اگر عمران خان ٹھیک کر رہے ہیں۔
78
- Predicted : اگر یمران خان ٹھیک کر رہے ہیں
79
- ```
80
- It requires **1.8GiB** VRAM.
81
-
82
- ## Training hyperparameters
83
 
84
  The following hyperparameters were used during training:
85
  - learning_rate: 2e-05
86
- - train_batch_size: 2
87
- - eval_batch_size: 2
88
  - seed: 42
89
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
90
- - lr_scheduler_type: linear
91
- - lr_scheduler_warmup_steps: 200
92
- - training_steps: 2000
93
- - mixed_precision_training: Native AMP
94
 
95
- ## Training results
96
 
97
- | Training Loss | Epoch | Step | Validation Loss | Wer |
98
- |:-------------:|:------:|:----:|:---------------:|:------:|
99
- | 0.5561 | 0.1863 | 500 | 1.0707 | 0.6629 |
100
- | 0.6472 | 0.3726 | 1000 | 0.7007 | 0.508 |
101
- | 0.5162 | 0.5589 | 1500 | 0.5460 | 0.4263 |
102
- | 0.3663 | 0.7452 | 2000 | 0.4630 | 0.3826 |
 
103
 
104
 
105
- ## Framework versions
106
 
107
- - Transformers 4.53.0
108
  - Pytorch 2.8.0.dev20250319+cu128
109
  - Datasets 3.6.0
110
- - Tokenizers 0.21.2
 
18
  name: common_voice_17_0
19
  type: common_voice_17_0
20
  config: ur
21
+ split: test[:600]
22
  args: ur
23
  metrics:
24
  - name: Wer
25
  type: wer
26
+ value: 25.78416728902166
 
 
 
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-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the common_voice_17_0 dataset.
35
  It achieves the following results on the evaluation set:
36
+ - Loss: 0.3534
37
+ - Wer: 25.7842
38
+
39
+ ## Model description
40
+
41
+ More information needed
42
+
43
+ ## Intended uses & limitations
44
+
45
+ More information needed
46
+
47
+ ## Training and evaluation data
48
+
49
+ More information needed
50
+
51
+ ## Training procedure
52
+
53
+ ### Training hyperparameters
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
54
 
55
  The following hyperparameters were used during training:
56
  - learning_rate: 2e-05
57
+ - train_batch_size: 8
58
+ - eval_batch_size: 4
59
  - seed: 42
60
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
61
+ - lr_scheduler_type: cosine
62
+ - lr_scheduler_warmup_steps: 100
63
+ - training_steps: 1500
 
64
 
65
+ ### Training results
66
 
67
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
68
+ |:-------------:|:------:|:----:|:---------------:|:-------:|
69
+ | 0.6764 | 0.2545 | 300 | 0.6244 | 44.9776 |
70
+ | 0.5881 | 0.5089 | 600 | 0.5089 | 37.6214 |
71
+ | 0.4662 | 0.7634 | 900 | 0.4349 | 32.1322 |
72
+ | 0.3661 | 1.0178 | 1200 | 0.3634 | 26.5683 |
73
+ | 0.2293 | 1.2723 | 1500 | 0.3534 | 25.7842 |
74
 
75
 
76
+ ### Framework versions
77
 
78
+ - Transformers 4.53.1
79
  - Pytorch 2.8.0.dev20250319+cu128
80
  - Datasets 3.6.0
81
+ - Tokenizers 0.21.2
config.json CHANGED
@@ -24,7 +24,6 @@
24
  "encoder_layerdrop": 0.0,
25
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26
  "eos_token_id": 50257,
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- "forced_decoder_ids": null,
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  "init_std": 0.02,
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  "is_encoder_decoder": true,
30
  "mask_feature_length": 10,
@@ -42,8 +41,8 @@
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  "pad_token_id": 50257,
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  "scale_embedding": false,
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45
- "transformers_version": "4.53.0",
46
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47
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48
  "vocab_size": 51866
49
  }
 
24
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25
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26
  "eos_token_id": 50257,
 
27
  "init_std": 0.02,
28
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29
  "mask_feature_length": 10,
 
41
  "pad_token_id": 50257,
42
  "scale_embedding": false,
43
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44
+ "transformers_version": "4.53.1",
45
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46
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47
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48
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generation_config.json CHANGED
@@ -145,6 +145,7 @@
145
  "<|yue|>": 50358,
146
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147
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148
  "max_initial_timestamp_index": 50,
149
  "max_length": 448,
150
  "no_timestamps_token_id": 50364,
@@ -241,9 +242,10 @@
241
  50362,
242
  50363
243
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  "task_to_id": {
245
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  "translate": 50359
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248
- "transformers_version": "4.53.0"
249
  }
 
145
  "<|yue|>": 50358,
146
  "<|zh|>": 50260
147
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148
+ "language": "ur",
149
  "max_initial_timestamp_index": 50,
150
  "max_length": 448,
151
  "no_timestamps_token_id": 50364,
 
242
  50362,
243
  50363
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245
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246
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247
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