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whisper-small-or – AI Model by Mark-X | AlphaNeural AI
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tensorboard
safetensors
whisper
generated_from_trainer
or
mozilla-foundation/common_voice_17_0
openai/whisper-small
finetune
apache-2.0
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Whisper Small Or- Mudit Sharma
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3656
Wer: 52.4265
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.0192
7.8125
1000
0.2476
56.1209
0.0011
15.625
2000
0.2956
52.8128
0.0001
23.4375
3000
0.3320
52.6616
0.0
31.25
4000
0.3582
52.6280
0.0
39.0625
5000
0.3656
52.4265
Framework versions
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
