This model is a fine-tuned version of emilios/whisper-lg-v2-parsifal-el-0 on the mozilla-foundation/common_voice_11_0 el dataset. It achieves the following results on the evaluation set:

Loss: 0.2866
Wer: 9.1103

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
0.0281	9.35	1000	0.2515	9.5561
0.0131	18.69	2000	0.2866	9.1103
0.0069	28.04	3000	0.3118	9.2403
0.004	37.38	4000	0.3279	9.3796
0.0025	46.73	5000	0.3464	9.3146

Framework versions

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