This model is a fine-tuned version of openai/whisper-small on the horoscope_standard_a_400_19_20_5_03 dataset. It achieves the following results on the evaluation set:

Loss: 0.5064
Wer: 27.4148

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
0.1722	1.0	50	0.4912	30.1563
0.0365	2.0	100	0.4825	28.5678
0.0134	3.0	150	0.4958	27.7479
0.0065	4.0	200	0.5046	28.3500
0.0042	5.0	250	0.5026	27.6326
0.0027	6.0	300	0.5018	27.5045
0.0019	7.0	350	0.5035	27.4789
0.0017	8.0	400	0.5048	27.3123
0.0015	9.0	450	0.5060	27.4276
0.0015	10.0	500	0.5064	27.4148

Framework versions

Transformers 4.49.0
Pytorch 2.5.1+cu121
Datasets 3.4.0
Tokenizers 0.21.0

IoanaLivia/whisper-small-finetuned-400-standard-A-epochs-10

whisper-small-finetuned-400-standard-A-epochs-10

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

IoanaLivia/
whisper-small-finetuned-400-standard-A-epochs-10