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whisper-tiny-fo-100h-5k-steps_v2 – AI Model by davidilag | AlphaNeural AI
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davidilag
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whisper-tiny-fo-100h-5k-steps_v2
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-fo-100h-5k-steps_v2
This model is a fine-tuned version of
openai/whisper-tiny
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4496
Wer: 71.2805
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
0.7688
0.2320
1000
0.7930
93.5524
0.5536
0.4640
2000
0.5865
77.9042
0.4716
0.6961
3000
0.5056
76.4043
0.4447
0.9281
4000
0.4647
72.0958
0.3585
1.1601
5000
0.4496
71.2805
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
