This model is a fine-tuned version of openai/whisper-large-v3 on the rishabhjain16/owr_cv_albanian default dataset. It achieves the following results on the evaluation set:

Loss: 0.7039
Wer: 29.7352

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0341	9.0	500	0.5451	34.7454
0.0107	18.01	1000	0.5565	31.4868
0.0012	27.01	1500	0.5967	30.5092
0.0001	37.0	2000	0.6311	30.7128
0.0001	46.0	2500	0.6630	30.0611
0.0	55.01	3000	0.6787	29.8167
0.0	64.01	3500	0.6894	29.6538
0.0	74.0	4000	0.6970	29.6538
0.0	83.0	4500	0.7019	29.6945
0.0	92.01	5000	0.7039	29.7352

Framework versions

Transformers 4.37.2
Pytorch 1.14.0a0+44dac51
Datasets 2.17.1
Tokenizers 0.15.2

rishabhjain16/whisper_l3_to_cv_sq

Whisper large V3 to CV Albanian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rishabhjain16/
whisper_l3_to_cv_sq