cawoylel/fula-whisper-medium

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

windanam-whisper-medium

This model is a fine-tuned version of openai/whisper-medium on the cawoylel/FulaSpeechCorpora-splited-noise_augmented dataset. The finetuning was done on the train and test splits of the dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1407
• —Wer: 0.2006

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 10000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.35.0.dev0
• —Pytorch 2.1.0+cu121
• —Datasets 2.14.6
• —Tokenizers 0.14.1