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IoanaLivia/
200-real-voices

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200-real-voices

This model is a fine-tuned version of openai/whisper-small on the 200-real-voices 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: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0	0	0.6890	41.0325
0.398	1.0	25	0.3067	19.6131
0.0985	2.0	50	0.2828	17.6403
0.0366	3.0	75	0.2957	17.1919
0.0209	4.0	100	0.3042	16.5129
0.0082	5.0	125	0.3147	16.4105
0.0048	6.0	150	0.3252	16.3976
0.0038	7.0	175	0.3309	16.4105
0.0028	8.0	200	0.3333	16.5257
0.0024	9.0	225	0.3351	16.3848
0.0022	10.0	250	0.3355	16.4105