metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-loz
results: []
whisper-medium-loz
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0237
- Wer: 38.4907
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: 8
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.2252 | 3.11 | 500 | 1.6491 | 50.4707 |
0.0815 | 6.21 | 1000 | 1.8170 | 48.7246 |
0.0417 | 9.32 | 1500 | 1.8765 | 43.2129 |
0.0218 | 12.42 | 2000 | 1.8995 | 40.6316 |
0.0062 | 15.53 | 2500 | 1.9751 | 38.6578 |
0.0024 | 18.63 | 3000 | 2.0062 | 38.5667 |
0.0001 | 21.74 | 3500 | 2.0141 | 38.6274 |
0.0001 | 24.84 | 4000 | 2.0237 | 38.4907 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2