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whisper-medium3-vivos – AI Model by hts98 | AlphaNeural AI

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hts98/
whisper-medium3-vivos

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Whisper Small Vietnamese ver1.1 - Son Huynh

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

eval_loss: 0.1925
eval_wer: 15.6566
eval_runtime: 498.9405
eval_samples_per_second: 1.523
eval_steps_per_second: 0.19
epoch: 0.27
step: 200

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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 300
training_steps: 800
mixed_precision_training: Native AMP

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.11.0
Datasets 2.7.1
Tokenizers 0.12.1