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whisper-tiny-en – AI Model by mory91 | AlphaNeural AI
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mory91
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whisper-tiny-en
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
PolyAI/minds14
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-tiny-en
This model is a fine-tuned version of
openai/whisper-tiny
on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
Loss: 0.6966
Wer Ortho: 0.2806
Wer: 0.2828
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 2000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.0008
17.24
500
0.5855
0.2740
0.2758
0.0002
34.48
1000
0.6411
0.2780
0.2809
0.0001
51.72
1500
0.6713
0.2793
0.2815
0.0001
68.97
2000
0.6966
0.2806
0.2828
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
