You can deploy this model and start earning money today!

AMoustakis/
trained_model

pytorch

tensorboard

generated_from_trainer

AMoustakis/test-dataset

Views

No views yet

Whisper Base Greek

This model is a fine-tuned version of openai/whisper-base on the Test Dataset for greek language dataset. It achieves the following results on the evaluation set:

Loss: 0.2675
Wer: 61.7778

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: 0.001
train_batch_size: 3
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.9014	1.0	4	0.5733	74.5185
0.4829	2.0	8	0.4158	64.4444
0.5963	3.0	12	0.3257	65.0370
0.3399	4.0	16	0.2857	61.7778
0.4436	5.0	20	0.2675	61.7778

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

AMoustakis/trained_model

Whisper Base Greek

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AMoustakis/
trained_model