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whisper-tiny-ar – AI Model by evageon | AlphaNeural AI
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evageon
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whisper-tiny-ar
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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whisper-tiny-ar
This model is a fine-tuned version of
openai/whisper-tiny
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8394
Wer: 86.0500
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: 128
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.0265
1.0
122
1.0110
98.4608
0.9208
2.0
244
0.9148
88.3812
0.8169
3.0
366
0.8394
86.0500
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.12.1
Datasets 2.7.1
Tokenizers 0.13.2
