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whisper-tiny-minds14-en – AI Model by b-koopman | AlphaNeural AI

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b-koopman/
whisper-tiny-minds14-en

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whisper-tiny-minds14-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:

eval_loss: 0.6529
eval_wer_ortho: 0.3621
eval_wer: 0.3418
eval_runtime: 22.2394
eval_samples_per_second: 5.081
eval_steps_per_second: 0.36
step: 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: 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: 500

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3