This model is a fine-tuned version of emilios/whisper-sm-el-farsipal-e3 on the mozilla-foundation/common_voice_11_0 el dataset. It achieves the following results on the evaluation set:

Loss: 0.5430
Wer: 17.1898

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
0.0015	9.35	1000	0.5405	17.6913
0.001	18.69	2000	0.5396	17.5613
0.0009	28.04	3000	0.5620	17.4963
0.001	37.38	4000	0.5454	17.4591
0.0015	46.73	5000	0.5430	17.1898

Framework versions

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

emilios/whisper-sm-el-farsipal-e4

Whisper Small Farsipal and El Greco

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

emilios/
whisper-sm-el-farsipal-e4