metadata
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- whisper-event
- generated_from_trainer
datasets:
- saurabhy27-outcomes/singlish_speech_corpus
metrics:
- wer
model-index:
- name: Whisper small singlish v2
results: []
Whisper small singlish v2
This model is a fine-tuned version of openai/whisper-small on the Singlish Speech Corpus dataset. It achieves the following results on the evaluation set:
- Loss: 0.2000
- Wer: 33.7188
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: 16
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1765 | 0.7407 | 500 | 0.1531 | 9.8226 |
| 0.0711 | 1.4815 | 1000 | 0.1481 | 32.2996 |
| 0.0415 | 2.2222 | 1500 | 0.1568 | 51.1892 |
| 0.0221 | 2.9630 | 2000 | 0.1582 | 33.1932 |
| 0.0064 | 3.7037 | 2500 | 0.1750 | 37.4310 |
| 0.0024 | 4.4444 | 3000 | 0.1856 | 40.0394 |
| 0.0017 | 5.1852 | 3500 | 0.1903 | 34.0539 |
| 0.0008 | 5.9259 | 4000 | 0.1948 | 34.5269 |
| 0.0006 | 6.6667 | 4500 | 0.1996 | 33.6662 |
| 0.0005 | 7.4074 | 5000 | 0.2000 | 33.7188 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1