Whisper large-v2 CV18 Hu

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whispe r-large-v2) on the fsicoli/common_voice_18_0 dataset. It achieves the following results on the evaluation google/fleurs set:

• Loss: 0.3493
• Wer Ortho: 21.9936
• Wer: 16.0057

Összesített Metrikák

google/fleurs_hu_hu_test:

• Átlagos WER: 21.75%
• Átlagos CER: 6.10%
• Átlagos Normalizált WER: 14.73%
• Átlagos Normalizált CER: 4.73%

common_voice_17_0_hu_test (it's a fals test (test split was in training)):

• Átlagos WER: 1.16%
• Átlagos CER: 0.22%
• Átlagos Normalizált WER: 0.79%
• Átlagos Normalizált CER: 0.16%

Kvantált modellek eredményei:

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: 5e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• 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: 250
• num_epochs: 3

Training results

Framework versions

• Transformers 4.34.1
• Pytorch 2.3.0+cu121
• Datasets 2.14.6
• Tokenizers 0.14.1