warmestman/whisper-large-v3-mn-cv-fleurs

Whisper Large MN - Ankhbayasgalan Davaadorj

This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 16.1 & FLEURS dataset. It achieves the following results on the evaluation set:

• Loss: 0.3245
• Wer: 37.0497

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: 8
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 40
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4691	0.3	100	0.5472	57.2191
0.3191	0.6	200	0.4417	49.0237
0.2677	0.9	300	0.3791	43.3530
0.1486	1.2	400	0.3560	40.1188
0.1387	1.5	500	0.3430	37.8912
0.1396	1.8	600	0.3245	37.0497

Framework versions

• Transformers 4.38.0.dev0
• Pytorch 2.2.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2