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AudioSangraha-Audio_to_Text – AI Model by AqeelShafy7 | AlphaNeural AI
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AudioSangraha-Audio_to_Text
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
trnslation
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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AudioSangraha-Audio_to_Text
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3071
Wer: 52.3227
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
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1036
3.91
1000
0.2257
55.1779
0.007
7.81
2000
0.3071
52.3227
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1