RafatK/second2
04
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second2
This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2553
- eval_cer: 3.9437
- eval_wer: 13.3115
- eval_bleu: 0.7447
- eval_runtime: 981.1698
- evalsamplesper_second: 0.936
- evalstepsper_second: 0.234
- epoch: 0.96
- step: 4500
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
- trainbatchsize: 8
- evalbatchsize: 4
- seed: 420
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 64
- optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 2
- training_steps: 10500
- mixedprecisiontraining: Native AMP
Framework versions
- Transformers 4.52.0
- Pytorch 2.9.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4