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whisper-tiny-en2 – AI Model by noeinatha | AlphaNeural AI
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noeinatha
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whisper-tiny-en2
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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-en2
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: 1.7646
Wer: 200.0
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: 500
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0
1000.0
1000
1.9557
200.0
0.0
2000.0
2000
1.7736
200.0
0.0
3000.0
3000
1.7677
200.0
0.0
4000.0
4000
1.7646
200.0
Framework versions
Transformers 4.27.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.10.0
Tokenizers 0.11.0
