anuragshas/whisper-large-v2-hy

Whisper Large-v2 Armenian

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

• Loss: 0.4429
• Wer: 40.2303

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
• 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
0.0113	8.02	200	0.3501	43.7171
0.0003	17.01	400	0.3989	40.7895
0.0001	26.0	600	0.4282	40.4605
0.0001	34.02	800	0.4392	40.2632
0.0001	43.01	1000	0.4429	40.2303

Framework versions

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