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teckedd/
gha-whisper-small-twi-v3

Name: gha-whisper-small-twi-v3
Availability: InStock

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gha-whisper-small-twi-v3

This model is a fine-tuned version of teckedd/whisper-small-waxal-round2-specaug-v1 on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 1500
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.4513	0.4747	150	0.4382	0.3044	0.1058
0.308	0.9494	300	0.3023	0.2897	0.0975
0.2678	1.4241	450	0.2996	0.2969	0.1042
0.2636	1.8987	600	0.2959	0.2807	0.0958
0.2081	2.3734	750	0.2998	0.2896	0.0994
0.2006	2.8481	900	0.2989	0.2932	0.1012
0.1614	3.3228	1050	0.3043	0.3010	0.1050
0.169	3.7975	1200	0.3035	0.2906	0.1009
0.152	4.2722	1350	0.3090	0.3004	0.1065
0.1512	4.7468	1500	0.3084	0.2984	0.1034