This model is a fine-tuned version of arun100/whisper-base-fa-1 on the google/fleurs fa_ir dataset. It achieves the following results on the evaluation set:

Loss: 0.5030
Wer: 41.2338

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-06
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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
0.1284	86.0	1000	0.5030	41.2338
0.0179	173.0	2000	0.5767	41.6119
0.0074	260.0	3000	0.6171	41.4478
0.0047	347.0	4000	0.6419	42.1791
0.0039	434.0	5000	0.6517	41.9751

Framework versions

Transformers 4.37.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.2.dev0
Tokenizers 0.15.0

arun100/whisper-base-fa-2

Whisper Base Persian Iranian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

arun100/
whisper-base-fa-2