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

Loss: 0.3189
Wer: 23.8109

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
0.2778	0.1	500	0.4945	36.9839
0.4343	0.2	1000	0.4290	35.1835
0.3523	0.3	1500	0.3780	30.6514
0.3833	0.4	2000	0.3436	28.0318
0.2029	1.09	2500	0.3360	26.5128
0.1797	1.19	3000	0.3351	25.8927
0.1687	1.29	3500	0.3249	25.8628
0.1603	1.39	4000	0.3089	23.9877
0.0762	2.08	4500	0.3345	24.5804
0.0676	2.18	5000	0.3189	23.8109

Framework versions

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

rishabhjain16/whisper_l3_to_kaggle_sq

Whisper large V3 to Kaggle Albanian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rishabhjain16/
whisper_l3_to_kaggle_sq