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Untitled – AI Model by AKAWIZ | AlphaNeural AI
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
te
apache-2.0
endpoints_compatible
us
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Whisper_Small_te
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4158
Wer: 105.7181
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-06
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: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.5803
1.75
100
1.4660
135.6383
0.7665
3.51
200
0.6849
114.4947
0.5158
5.26
300
0.4969
125.3989
0.4441
7.02
400
0.4337
109.5745
0.4234
8.77
500
0.4158
105.7181
Framework versions
Transformers 4.29.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
