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whisper-tiny-dv – AI Model by naorm | AlphaNeural AI

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naorm/
whisper-tiny-dv

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automatic-speech-recognition

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openai/whisper-tiny

endpoints_compatible

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whisper-tiny-dv

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:

eval_loss: 0.7148
eval_wer_ortho: 36.6440
eval_wer: 36.4817
eval_runtime: 37.3199
eval_samples_per_second: 3.028
eval_steps_per_second: 0.214
epoch: 35.71
step: 1000

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: 4000

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0