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finetuned-whisper-mr – AI Model by simran14 | AlphaNeural AI
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simran14
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finetuned-whisper-mr
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
mr
mozilla-foundation/common_voice_17_0
simran14/mr-model-h
finetune
apache-2.0
model-index
endpoints_compatible
us
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simrank14 Whisper small val i
This model is a fine-tuned version of
simran14/mr-model-h
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.0002
Wer: 0.0323
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: 5e-07
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
step
Validation Loss
Wer
0.0002
1000
0.0003
0.0646
0.0001
2000
0.0002
0.0323
Framework versions
Transformers 4.45.0.dev0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
