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whisper-base-nl-3 – AI Model by SuperKogito | AlphaNeural AI

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SuperKogito/
whisper-base-nl-3

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whisper-base-nl-3

This model is a fine-tuned version of openai/whisper-base on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 5.4060
eval_wer: 97.0715
eval_cer: 88.7687
eval_runtime: 95.6691
eval_samples_per_second: 1.233
eval_steps_per_second: 0.617
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: 1
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 50000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.1.dev0
Tokenizers 0.13.2