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UrduWhisper – AI Model by 2DamnWav | AlphaNeural AI
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UrduWhisper
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ur
common_voice_16_1
openai/whisper-base
finetune
apache-2.0
endpoints_compatible
us
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Model card
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This model is a fine-tuned version of
openai/whisper-base
on the common_voice dataset. It achieves the following results on the evaluation set:
Loss: 0.6109
Cer: 16.9926
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.3246
0.25
500
0.6696
18.6400
0.3243
0.5
1000
0.6509
18.5784
0.2622
0.75
1500
0.6245
17.5366
0.3307
1.0
2000
0.6109
16.9926
Framework versions
Transformers 4.38.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
