anuragshas/whisper-large-v2-ka

Whisper Large-v2 Georgian

This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_11_0 ka dataset. It achieves the following results on the evaluation set:

• Loss: 0.1187
• Wer: 31.8548

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: 32
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• 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: 100
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0413	2.06	200	0.0712	36.6296
0.006	5.04	400	0.0899	33.7467
0.0008	8.02	600	0.1039	32.2311
0.0002	11.01	800	0.1141	31.9290
0.0001	13.06	1000	0.1187	31.8548

Framework versions

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