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Badri0510/
whisper-tanglish-voice-generalized-5000

Name: whisper-tanglish-voice-generalized-5000
Availability: InStock

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whisper-tanglish-voice-generalized-5000

This model is a fine-tuned version of Badri0510/whisper-tanglish-5e5-8000-experiment on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 200
training_steps: 10000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.0782	0.05	500	0.0422	0.2990
0.1172	0.1	1000	0.0463	0.2849
0.0989	1.0372	1500	0.0302	0.2789
0.1372	1.0872	2000	0.0286	0.2632
0.0617	2.0244	2500	0.0181	0.2471
0.0990	2.0744	3000	0.0197	0.2850
0.0499	3.0124	3500	0.0230	0.2724
0.0536	3.0624	4000	0.0160	0.2547
0.0455	4.0013	4500	0.0099	0.2417
0.0264	4.0513	5000	0.0087	0.2301
0.0317	4.1013	5500	0.0050	0.2236
0.0127	5.0388	6000	0.0045	0.2206
0.0155	5.0888	6500	0.0037	0.2223
0.0070	6.0272	7000	0.0022	0.2174
0.0058	6.0772	7500	0.0018	0.2164
0.0023	7.0135	8000	0.0013	0.2148
0.0029	7.0635	8500	0.0006	0.2141
0.0027	8.0025	9000	0.0006	0.2141
0.0024	8.0525	9500	0.0006	0.2142
0.0098	8.1025	10000	0.0006	0.2142