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Whisper Small Romanian

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 Romanian Dataset dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2164
• eval_wer: 94.3222
• eval_runtime: 2993.0092
• eval_samples_per_second: 1.289
• eval_steps_per_second: 0.161
• epoch: 1.8
• step: 1000

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: 16
• eval_batch_size: 8
• 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
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.28.0.dev0
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3