metadata
license: apache-2.0
base_model: openai/whisper-small.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small.en-atco2-asr
results: []
whisper-small.en-atco2-asr
This model is a fine-tuned version of openai/whisper-small.en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9789
- Wer: 44.6619
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 |
|---|---|---|---|---|
| 1.2761 | 12.5 | 50 | 1.2240 | 36.1655 |
| 0.2584 | 25.0 | 100 | 0.9577 | 37.5890 |
| 0.0796 | 37.5 | 150 | 0.9088 | 45.7295 |
| 0.0172 | 50.0 | 200 | 0.9225 | 44.2171 |
| 0.0095 | 62.5 | 250 | 0.9491 | 35.5872 |
| 0.0067 | 75.0 | 300 | 0.9658 | 45.1512 |
| 0.0061 | 87.5 | 350 | 0.9757 | 45.1068 |
| 0.0055 | 100.0 | 400 | 0.9789 | 44.6619 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0