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whispertiny_buah25sil_v1_6 – AI Model by albertuspekerti | AlphaNeural AI
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whispertiny_buah25sil_v1_6
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tensorboard
safetensors
whisper
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
us
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whispertiny_buah25sil_v1_6
This model is a fine-tuned version of
openai/whisper-tiny
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0698
Wer: 5.5820
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
0.0383
0.2286
1000
0.0742
8.8113
0.0287
0.4571
2000
0.0605
6.2125
0.0219
0.6857
3000
0.0548
5.2745
0.0135
0.9143
4000
0.0696
5.6205
0.0069
1.1429
5000
0.0698
5.5820
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 4.0.0
Tokenizers 0.19.1
