kpriyanshu256/whisper-medium-ne-NP-10-16-1e-05-pretrain-hi

openai/whisper-medium-nepali

This model is a fine-tuned version of shripadbhat/whisper-medium-hi on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• Loss: 1.2050
• Wer: 26.8293

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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 40
• training_steps: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	10.0	10	1.2050	26.8293

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.11.0
• Datasets 2.8.1.dev0
• Tokenizers 0.12.1