sgangireddy/whisper-medium-cv-fi-3k

Whisper medium Finnish CV 4K

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

• Loss: 0.3412
• Wer: 15.7369

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: 64
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0014	19.0	1000	0.3029	16.3117
0.0002	38.01	2000	0.3412	15.7369
0.0001	57.01	3000	0.3592	15.8783
0.0001	76.01	4000	0.3655	15.8594

Framework versions

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