Gabi00/distil_whisper-en_students_test

Whisper Small Eng - Gabriel Mora

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

• Loss: 0.3784
• Wer: 13.1108

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: 28
• eval_batch_size: 28
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6399	0.4444	500	0.4393	13.1649
0.526	0.8889	1000	0.4070	14.4792
0.4598	1.3333	1500	0.3948	14.2654
0.4094	1.7778	2000	0.3806	14.4050
0.3556	2.2222	2500	0.3816	13.2305
0.3304	2.6667	3000	0.3784	13.1108

Framework versions

• Transformers 4.42.3
• Pytorch 2.1.0+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1