ALM/whisper-lv-small-augmented

Whisper Small Latvian - Robust

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

• Loss: 0.5621
• Wer: 33.1120

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: 5e-05
• train_batch_size: 64
• eval_batch_size: 32
• seed: 42
• 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
0.0219	16.67	1000	0.6129	41.1575
0.0029	33.33	2000	0.5975	36.1480
0.0003	50.0	3000	0.5626	33.6812
0.0004	66.67	4000	0.5608	33.2827
0.0001	83.33	5000	0.5715	33.8046

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.8.0
• Tokenizers 0.13.2