metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
model-index:
- name: test-whisper-tiny-th
results: []
test-whisper-tiny-th
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8297
- Cer: 33.9718
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| No log | 1.0 | 7 | 0.8606 | 33.9718 |
| 0.6839 | 2.0 | 14 | 0.8408 | 34.4758 |
| 0.5734 | 3.0 | 21 | 0.8370 | 33.2661 |
| 0.5734 | 4.0 | 28 | 0.8336 | 34.1734 |
| 0.5218 | 5.0 | 35 | 0.8297 | 33.9718 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1