real-voices-400-10-epochs – AI Model by IoanaLivia | AlphaNeural AI

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IoanaLivia/
real-voices-400-10-epochs

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automatic-speech-recognition

generated_from_trainer

400-real-voices

openai/whisper-small

endpoints_compatible

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real-voices-400-10-epochs

This model is a fine-tuned version of openai/whisper-small on the 400-real-voices dataset. It achieves the following results on the evaluation set:

Loss: 0.2847
Wer: 13.9764

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: 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 results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0	0	0.6890	41.0325
0.3321	1.0	50	0.2364	16.4233
0.0869	2.0	100	0.2197	14.5017
0.0354	3.0	150	0.2506	14.8604
0.0176	4.0	200	0.2449	14.0405
0.0097	5.0	250	0.2616	14.1430
0.0054	6.0	300	0.2709	14.0277
0.0027	7.0	350	0.2771	13.8611
0.0023	8.0	400	0.2836	13.9380
0.0019	9.0	450	0.2840	13.9252
0.0017	10.0	500	0.2847	13.9764

Framework versions

Transformers 4.49.0
Pytorch 2.5.1+cu121
Datasets 3.4.1
Tokenizers 0.21.0