This model is a fine-tuned version of openai/whisper-large-v3 on the Old_People_Talk_Dataset_Ko_Train dataset. It achieves the following results on the evaluation set:

Loss: 0.1054
Cer: 7.3499

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: 100
training_steps: 600
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.3369	0.0221	100	0.2803	7.3760
0.1671	0.0443	200	0.1688	5.1938
0.1268	0.0664	300	0.1358	5.9881
0.1288	0.0885	400	0.1224	6.1016
0.0951	0.1107	500	0.1106	6.3809
0.1026	0.1328	600	0.1054	7.3499

Framework versions

Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0

sikaro/repo_name

Whisper_Old_People_Talk_check

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sikaro/
repo_name