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whisper-finetuned-bial2 – AI Model by bhattasp | AlphaNeural AI
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bhattasp
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whisper-finetuned-bial2
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tensorboard
safetensors
whisper
generated_from_trainer
en
openai/whisper-tiny
finetune
apache-2.0
us
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bhattasp/whisper-finetuned-bial2
This model is a fine-tuned version of
openai/whisper-tiny
on the bial2 dataset. It achieves the following results on the evaluation set:
Loss: 0.3088
Wer: 29.3953
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: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1482
4.3290
1000
0.3253
31.3301
0.0563
8.6580
2000
0.3088
29.3953
Framework versions
Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
