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whisper-small-ur – AI Model by aosaf | AlphaNeural AI
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whisper-small-ur
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-ur
This model is a fine-tuned version of
openai/whisper-small
on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.6126
Wer: 73.5323
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1822
2.15
1000
0.5155
83.0527
0.0936
4.3
2000
0.5396
83.3353
0.0166
6.46
3000
0.6126
73.5323
0.0039
8.6
4000
0.6600
100.6153
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
