This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_11_0 el dataset. It achieves the following results on the evaluation set:

Loss: 0.5615
Wer: 45.6538

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: 3e-06
train_batch_size: 32
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3389	8.33	1000	0.5659	49.1363
0.1562	16.67	2000	0.5615	45.6538
0.0616	25.0	3000	0.6440	46.9632
0.0116	33.33	4000	0.7578	47.9569
0.0046	41.67	5000	0.8374	48.6999

Framework versions

Transformers 4.26.0.dev0
Pytorch 2.0.0.dev20221216+cu116
Datasets 2.7.1.dev0
Tokenizers 0.13.2

emilios/whisper-tn-el-e1

Whisper tiny Greek El Greco

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

emilios/
whisper-tn-el-e1