Whisper Large V2 MN - Ankhbayasgalan Davaadorj
This model is a fine-tuned version of openai/whisper-large-v2 on the Common Voice 16.1 & FLEURS dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2431
- eval_wer: 19.6462
- eval_runtime: 212.4702
- eval_samples_per_second: 0.48
- eval_steps_per_second: 0.122
- epoch: 10.99
- step: 1000
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: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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