metadata
license: apache-2.0
base_model: openai/whisper-medium.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium.en-atco2-asr
results: []
whisper-medium.en-atco2-asr
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: 0.9216
- Wer: 29.5819
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: 128
- eval_batch_size: 128
- 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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.9851 | 12.5 | 50 | 1.0968 | 24.1103 |
| 0.1295 | 25.0 | 100 | 0.9019 | 82.4288 |
| 0.0379 | 37.5 | 150 | 0.8000 | 26.4680 |
| 0.008 | 50.0 | 200 | 0.8494 | 27.2687 |
| 0.0052 | 62.5 | 250 | 0.8890 | 34.2527 |
| 0.0032 | 75.0 | 300 | 0.9108 | 28.4253 |
| 0.0027 | 87.5 | 350 | 0.9191 | 29.2260 |
| 0.0023 | 100.0 | 400 | 0.9216 | 29.5819 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0