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nurzhanit
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whisper-enhanced-ml

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
nurzhanit commited on
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End of training

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Files changed (2) hide show
  1. README.md +44 -24
  2. model.safetensors +1 -1
README.md CHANGED
@@ -60,33 +60,53 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 100
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- - training_steps: 1000
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:--------:|:----:|:---------------:|:------:|
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- | 0.0001 | 8.3333 | 50 | 0.0001 | 0.0 |
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- | 0.0121 | 16.6667 | 100 | 0.0065 | 0.6612 |
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- | 0.0056 | 25.0 | 150 | 0.0009 | 0.3306 |
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- | 0.0001 | 33.3333 | 200 | 0.0001 | 0.0 |
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- | 0.0001 | 41.6667 | 250 | 0.0001 | 0.0 |
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- | 0.0001 | 50.0 | 300 | 0.0001 | 0.0 |
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- | 0.0 | 58.3333 | 350 | 0.0000 | 0.0 |
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- | 0.0 | 66.6667 | 400 | 0.0000 | 0.0 |
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- | 0.0 | 75.0 | 450 | 0.0000 | 0.0 |
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- | 0.0 | 83.3333 | 500 | 0.0000 | 0.0 |
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- | 0.0 | 91.6667 | 550 | 0.0000 | 0.0 |
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- | 0.0 | 100.0 | 600 | 0.0000 | 0.0 |
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- | 0.0 | 108.3333 | 650 | 0.0000 | 0.0 |
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- | 0.0 | 116.6667 | 700 | 0.0000 | 0.0 |
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- | 0.0 | 125.0 | 750 | 0.0000 | 0.0 |
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- | 0.0 | 133.3333 | 800 | 0.0000 | 0.0 |
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- | 0.0 | 141.6667 | 850 | 0.0000 | 0.0 |
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- | 0.0 | 150.0 | 900 | 0.0000 | 0.0 |
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- | 0.0 | 158.3333 | 950 | 0.0000 | 0.0 |
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- | 0.0 | 166.6667 | 1000 | 0.0000 | 0.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 200
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+ - training_steps: 4000
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:--------:|:----:|:---------------:|:---:|
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+ | 0.0 | 16.6667 | 100 | 0.0000 | 0.0 |
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+ | 0.0 | 33.3333 | 200 | 0.0000 | 0.0 |
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+ | 0.0 | 50.0 | 300 | 0.0000 | 0.0 |
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+ | 0.0 | 66.6667 | 400 | 0.0000 | 0.0 |
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+ | 0.0 | 83.3333 | 500 | 0.0000 | 0.0 |
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+ | 0.0 | 100.0 | 600 | 0.0000 | 0.0 |
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+ | 0.0 | 116.6667 | 700 | 0.0000 | 0.0 |
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+ | 0.0 | 133.3333 | 800 | 0.0000 | 0.0 |
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+ | 0.0 | 150.0 | 900 | 0.0000 | 0.0 |
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+ | 0.0 | 166.6667 | 1000 | 0.0000 | 0.0 |
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+ | 0.0 | 183.3333 | 1100 | 0.0000 | 0.0 |
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+ | 0.0 | 200.0 | 1200 | 0.0000 | 0.0 |
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+ | 0.0 | 216.6667 | 1300 | 0.0000 | 0.0 |
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+ | 0.0 | 233.3333 | 1400 | 0.0000 | 0.0 |
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+ | 0.0 | 250.0 | 1500 | 0.0000 | 0.0 |
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+ | 0.0 | 266.6667 | 1600 | 0.0000 | 0.0 |
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+ | 0.0 | 283.3333 | 1700 | 0.0000 | 0.0 |
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+ | 0.0 | 300.0 | 1800 | 0.0000 | 0.0 |
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+ | 0.0 | 316.6667 | 1900 | 0.0000 | 0.0 |
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+ | 0.0 | 333.3333 | 2000 | 0.0000 | 0.0 |
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+ | 0.0 | 350.0 | 2100 | 0.0000 | 0.0 |
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+ | 0.0 | 366.6667 | 2200 | 0.0000 | 0.0 |
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+ | 0.0 | 383.3333 | 2300 | 0.0000 | 0.0 |
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+ | 0.0 | 400.0 | 2400 | 0.0000 | 0.0 |
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+ | 0.0 | 416.6667 | 2500 | 0.0000 | 0.0 |
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+ | 0.0 | 433.3333 | 2600 | 0.0000 | 0.0 |
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+ | 0.0 | 450.0 | 2700 | 0.0000 | 0.0 |
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+ | 0.0 | 466.6667 | 2800 | 0.0000 | 0.0 |
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+ | 0.0 | 483.3333 | 2900 | 0.0000 | 0.0 |
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+ | 0.0 | 500.0 | 3000 | 0.0000 | 0.0 |
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+ | 0.0 | 516.6667 | 3100 | 0.0000 | 0.0 |
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+ | 0.0 | 533.3333 | 3200 | 0.0000 | 0.0 |
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+ | 0.0 | 550.0 | 3300 | 0.0000 | 0.0 |
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+ | 0.0 | 566.6667 | 3400 | 0.0000 | 0.0 |
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+ | 0.0 | 583.3333 | 3500 | 0.0000 | 0.0 |
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+ | 0.0 | 600.0 | 3600 | 0.0000 | 0.0 |
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+ | 0.0 | 616.6667 | 3700 | 0.0000 | 0.0 |
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+ | 0.0 | 633.3333 | 3800 | 0.0000 | 0.0 |
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+ | 0.0 | 650.0 | 3900 | 0.0000 | 0.0 |
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+ | 0.0 | 666.6667 | 4000 | 0.0000 | 0.0 |
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  ### Framework versions
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