This model is a fine-tuned version of kpriyanshu256/whisper-large-v2-cy-500-32-1e-05 on the Common Voice 11.0 and the FLEURS datasets. It achieves the following results on the evaluation set:

Loss: 0.7879
Wer: 34.2625

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: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3768	0.25	250	0.7143	39.4890
0.1498	1.15	500	0.7663	35.8014
0.0907	2.05	750	0.7730	35.2497
0.045	2.3	1000	0.7879	34.2625

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

kpriyanshu256/whisper-large-v2-ga-IE-1000-32-1e-05-cy-multi

whisper-large-v2-Irish

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kpriyanshu256/
whisper-large-v2-ga-IE-1000-32-1e-05-cy-multi