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whisper-medium-vn-v6

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

• Loss: 1.2458

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: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: tpu
• num_devices: 8
• total_train_batch_size: 64
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 500

Training results

Framework versions

• Transformers 4.26.1
• Pytorch 2.0.0a0+gitd677432
• Datasets 2.10.0
• Tokenizers 0.13.2