metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
model-index:
- name: whisper-tiny-th-4
results: []
whisper-tiny-th-4
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: 0.7699
- Cer: 31.3508
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 |
|---|---|---|---|---|
| 0.9187 | 1.0 | 38 | 0.8350 | 35.2823 |
| 0.5349 | 2.0 | 76 | 0.7711 | 31.5524 |
| 0.3241 | 3.0 | 114 | 0.7630 | 31.9556 |
| 0.2342 | 4.0 | 152 | 0.7662 | 36.0887 |
| 0.2037 | 5.0 | 190 | 0.7699 | 31.3508 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1