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whisper-small-ASR-EN – AI Model by enankobh1 | AlphaNeural AI
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whisper-small-ASR-EN
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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-small-ASR-EN
This model is a fine-tuned version of
openai/whisper-small.en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7014
Wer: 20.6492
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: 32
eval_batch_size: 16
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0389
5.95
1000
0.4354
24.2479
0.0015
11.9
2000
0.6301
21.1699
0.0003
17.86
3000
0.6822
20.5739
0.0002
23.81
4000
0.7014
20.6492
Framework versions
Transformers 4.27.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
