501Good/whisper-tiny-tt

Whisper Tiny Tatar - Kirill Milintsevich

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5106
• Wer: 49.2285

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: 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
0.4268	2.49	500	0.6232	63.6537
0.2331	4.98	1000	0.5044	52.3818
0.1332	7.46	1500	0.4927	50.2300
0.09	9.95	2000	0.5106	49.2285
0.048	12.44	2500	0.5526	49.7806
0.0346	14.93	3000	0.5850	50.0319
0.0181	17.41	3500	0.6276	50.5592
0.0122	19.9	4000	0.6494	50.3327
0.0086	22.39	4500	0.6737	50.6688
0.0077	24.88	5000	0.6777	50.6724