This model is a fine-tuned version of openai/whisper-medium on the odpovidajici nazvu modelu dataset. It achieves the following results on the evaluation set:

Loss: 1.5807
Wer: 1195.9954

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4162	3.06	125	1.4030	431.0069
0.0691	7.05	250	1.5075	1301.4874
0.0118	11.05	375	1.5467	1338.4439
0.0062	15.04	500	1.5807	1195.9954

Framework versions

Transformers 4.37.2
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.15.2

xbilek25/TESTMODEL_500_moving_reverb

model trenovan na en_de_en simi setu, nastaveni jazyka en overeni3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

xbilek25/
TESTMODEL_500_moving_reverb