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whisper-small-finetuned – AI Model by MNickii | AlphaNeural AI

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MNickii/
whisper-small-finetuned

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common_voice_16_1

openai/whisper-small

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whisper-small-finetuned

This model is a fine-tuned version of openai/whisper-small on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

eval_loss: 2.0582
eval_wer: 100.0
eval_runtime: 470.8577
eval_samples_per_second: 1.062
eval_steps_per_second: 0.068
epoch: 1.0
step: 100

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: 0.0001
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: linear
training_steps: 100
mixed_precision_training: Native AMP

Framework versions

Transformers 4.42.3
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1