metadata
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-for-maltese
results: []
whisper-for-maltese
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: 3.3026
- Wer: 120.5033
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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.2456 | 3.57 | 500 | 2.5059 | 99.2583 |
| 1.346 | 7.14 | 1000 | 2.4891 | 421.1391 |
| 0.7287 | 10.71 | 1500 | 2.7307 | 121.1921 |
| 0.3432 | 14.29 | 2000 | 2.9824 | 131.7086 |
| 0.2834 | 17.86 | 2500 | 3.1282 | 122.0397 |
| 0.2239 | 21.43 | 3000 | 3.2050 | 113.4040 |
| 0.1978 | 25.0 | 3500 | 3.2739 | 118.5695 |
| 0.1476 | 28.57 | 4000 | 3.3026 | 120.5033 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3