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whisper-tiny-id – AI Model by Dhaniahmad | AlphaNeural AI
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whisper-tiny-id
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
id
mozilla-foundation/common_voice_11_0
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper tiny Id - Dhani
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5239
Wer: 36.1645
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.5362
1.9305
1000
0.5488
38.4111
0.2848
3.8610
2000
0.5154
36.7087
0.1704
5.7915
3000
0.5182
36.2622
0.1217
7.7220
4000
0.5239
36.1645
Framework versions
Transformers 4.41.0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
