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whisper-tiny-fo – AI Model by lukespeech | AlphaNeural AI
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lukespeech
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whisper-tiny-fo
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ravnursson_asr
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-tiny-fo
This model is a fine-tuned version of
openai/whisper-tiny
on the ravnursson_asr dataset. It achieves the following results on the evaluation set:
Loss: 2.3908
Wer: 97.4000
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: 5
training_steps: 40
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
1.43
10
3.7140
118.4000
No log
2.86
20
2.6041
100.2
2.8026
4.29
30
2.4362
97.6
2.8026
5.71
40
2.3908
97.4000
Framework versions
Transformers 4.38.2
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.1
