metadata
license: apache-2.0
base_model: openai/whisper-base.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-base.en-atco2-asr
results: []
whisper-base.en-atco2-asr
This model is a fine-tuned version of openai/whisper-base.en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0761
- Wer: 61.4769
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 |
|---|---|---|---|---|
| 1.9617 | 12.5 | 50 | 1.6264 | 47.3310 |
| 0.5856 | 25.0 | 100 | 1.2440 | 43.5498 |
| 0.2968 | 37.5 | 150 | 1.1000 | 55.7829 |
| 0.0977 | 50.0 | 200 | 1.0685 | 44.0391 |
| 0.0418 | 62.5 | 250 | 1.0645 | 51.2456 |
| 0.0178 | 75.0 | 300 | 1.0692 | 41.9929 |
| 0.0142 | 87.5 | 350 | 1.0742 | 61.3434 |
| 0.0124 | 100.0 | 400 | 1.0761 | 61.4769 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0