xuliu15/FT-Frisian-10m

Whisper Small Frisian 10m

This model is a fine-tuned version of openai/whisper-small on the Common Voice 6.1 dataset. It achieves the following results on the evaluation set:

• Loss: 1.6643
• Wer: 64.6266

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-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.0562	6.6667	100	2.2740	83.4860
0.9187	13.3333	200	1.7749	76.7385
0.4133	20.0	300	1.6576	69.3317
0.1671	26.6667	400	1.6334	67.2679
0.0603	33.3333	500	1.6319	66.2770
0.0245	40.0	600	1.6433	65.6496
0.0138	46.6667	700	1.6522	64.6730
0.0104	53.3333	800	1.6591	64.5019
0.0089	60.0	900	1.6632	64.4876
0.0083	66.6667	1000	1.6643	64.6266

Framework versions

• Transformers 4.40.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1