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whisper-tiny-asr – AI Model by GCYY | AlphaNeural AI
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GCYY
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whisper-tiny-asr
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transformers
pytorch
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-asr
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: 0.6674
Wer Ortho: 0.3590
Wer: 0.3377
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: 64
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
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: 100
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
1.3109
14.29
50
0.6984
0.4084
0.3684
0.0461
28.57
100
0.6674
0.3590
0.3377
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
