Test-Code-Lightning-T4
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5354
- eval_wer: 45.0044
- eval_cer: 0.0142
- eval_runtime: 174.8378
- eval_samples_per_second: 0.589
- eval_steps_per_second: 0.589
- epoch: 0.0198
- step: 50
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: 4
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_bnb_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 200
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.48.2
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for o0dimplz0o/Test-Code-Lightning-T4
Base model
openai/whisper-medium