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whisper-medium-1113 – AI Model by hts98 | AlphaNeural AI

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hts98/
whisper-medium-1113

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whisper-medium-1113

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

eval_loss: 0.4282
eval_wer: 100.0222
eval_runtime: 126.5405
eval_samples_per_second: 4.678
eval_steps_per_second: 0.395
epoch: 6.06
step: 1200

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: 12
eval_batch_size: 12
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: 4000

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.12.1