metadata
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: bhattasp/whisper-finetuned-atco2_uwb
results: []
bhattasp/whisper-finetuned-atco2_uwb
This model is a fine-tuned version of openai/whisper-tiny on the AtCO2_UWB dataset. It achieves the following results on the evaluation set:
- Loss: 0.6113
- Wer: 25.7983
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: 16
- 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: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5831 | 1.8248 | 1000 | 0.6804 | 29.0874 |
| 0.3487 | 3.6496 | 2000 | 0.6113 | 25.7983 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1