HEFL poc
This model is a fine-tuned version of openai/whisper-small.en on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6771
- eval_model_preparation_time: 0.011
- eval_wer: 25.6383
- eval_runtime: 25.0785
- eval_samples_per_second: 1.954
- eval_steps_per_second: 0.279
- step: 0
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 25
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for Helf/helf-poc
Base model
openai/whisper-small.en