whisper-medium-catalan

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Whisper Medium Catalan

This model is a fine-tuned version of openai/whisper-Medium on the 10 hrs of Catalan Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• eval_loss: 4.9217
• eval_wer: 132.1947
• eval_runtime: 3848.0596
• eval_samples_per_second: 0.78
• eval_steps_per_second: 0.78
• epoch: 1.14
• step: 2000

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: 0.001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• 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 4.27.0.dev0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2