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whisper-small-gurmukhi-lora – AI Model by abhi8799 | AlphaNeural AI
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whisper-small-gurmukhi-lora
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peft
tensorboard
safetensors
adapter
lora
transformers
asr
transcription
panjabi
pa
abhi8799/Punjabi-STT-Small-8H
openai/whisper-small
apache-2.0
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whisper-small-gurmukhi-lora
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8086
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_BNB 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: 100
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.0380
66.7273
200
0.4913
0.2082
133.3636
400
0.6787
0.0179
200.0
600
0.7486
0.0077
266.7273
800
0.7866
0.0056
333.3636
1000
0.8086
Framework versions
PEFT 0.19.1
Transformers 5.10.2
Pytorch 2.11.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
