whisper-tiny-ga2en-v1.4

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Whisper Tiny GA-EN Speech Translation v.1.4

This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. The best model (this version) is at checkpoint 500, epoch 7.35, and it achieves the following results on the evaluation set:

• Loss: 2.5784
• Bleu: 17.0
• Chrf: 30.42
• Wer: 85.8622

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Experiment

As this is a translation task into English, use language="English"

tokenizer = WhisperTokenizer.from_pretrained("openai/whisper-tiny",
                                             cache_dir=cache_dir,
                                             language="english",
                                             task="translate")

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 0.03
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.39.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2