ALM/whisper-sk-small-augmented

Whisper Small Slovak - Robust

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

• Loss: 0.7397
• Wer: 43.6221

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
0.0232	14.29	1000	0.7425	51.8801
0.0083	28.57	2000	0.7698	48.4888
0.0006	42.86	3000	0.7640	47.5964
0.0005	57.14	4000	0.7649	44.8953
0.0002	71.43	5000	0.7440	44.3598

Framework versions

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