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whisper-small-ps – AI Model by amin1123 | AlphaNeural AI
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whisper-small-ps
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ps
pairsys/open_asr
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Pashto
This model is a fine-tuned version of
openai/whisper-small
on the Open ASR dataset. It achieves the following results on the evaluation set:
Loss: 0.7846
Wer: 34.4754
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: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0112
17.8571
1000
0.6265
38.1462
0.0023
35.7143
2000
0.7230
35.0260
0.0006
53.5714
3000
0.7555
34.7201
0.0001
71.4286
4000
0.7708
34.9342
0.0001
89.2857
5000
0.7846
34.4754
Framework versions
Transformers 4.46.2
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.3
