metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-medium.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium.en
results: []
whisper-medium.en
This model is a fine-tuned version of openai/whisper-medium.en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7011
- Wer: 0.0
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.8998 | 1.25 | 5 | 2.2823 | 0.0 |
| 2.608 | 2.5 | 10 | 2.0390 | 0.0 |
| 2.2464 | 3.75 | 15 | 1.9019 | 0.0 |
| 1.8177 | 5.0 | 20 | 1.7011 | 0.0 |
Framework versions
- Transformers 4.50.1
- Pytorch 2.6.0
- Datasets 3.6.0
- Tokenizers 0.21.1