metadata
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-ur
results: []
whisper-small-ur
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0029
- Wer: 76.1310
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: 100
- training_steps: 700
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.1678 | 2.27 | 100 | 1.0347 | 110.8789 |
| 0.3171 | 4.55 | 200 | 0.2896 | 54.6101 |
| 0.1408 | 6.82 | 300 | 0.0993 | 98.5782 |
| 0.0447 | 9.09 | 400 | 0.0261 | 38.4102 |
| 0.0101 | 11.36 | 500 | 0.0083 | 74.2783 |
| 0.004 | 13.64 | 600 | 0.0035 | 72.9642 |
| 0.0031 | 15.91 | 700 | 0.0029 | 76.1310 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3