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whisper-small-dadirri – AI Model by dadirri | AlphaNeural AI
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whisper-small-dadirri
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
chris_W/dataset
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper-Small-dadirri
This model is a fine-tuned version of
openai/whisper-small
on the hearing voice dataset. It achieves the following results on the evaluation set:
Loss: 0.0231
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: 100
training_steps: 400
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.52
50
3.0035
4.521
1.03
100
1.4394
4.521
1.55
150
2.7847
1.8786
2.06
200
0.4913
1.8786
2.58
250
0.0458
0.0755
3.09
300
0.0379
0.0755
3.61
350
0.0285
0.0126
4.12
400
0.0231
Framework versions
Transformers 4.38.0
Pytorch 2.0.1+cu118
Datasets 2.19.1
Tokenizers 0.15.2
