Kleber/output_dir

Whisper Small Kinyarwanda

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 rw dataset. It achieves the following results on the evaluation set:

• Loss: 0.6424
• Wer: 43.7524

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: 20
• eval_batch_size: 20
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 40
• total_eval_batch_size: 40
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.7471	0.04	1000	0.9044	59.2903
0.5987	0.08	2000	0.7523	52.0232
0.5168	0.12	3000	0.6890	47.7610
0.5082	0.16	4000	0.6596	45.4013
0.4748	0.2	5000	0.6424	43.7524

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.1+cu116
• Datasets 2.7.1.dev0
• Tokenizers 0.13.2