metadata
library_name: transformers
license: apache-2.0
base_model: biodatlab/whisper-th-medium-combined
tags:
- generated_from_trainer
model-index:
- name: outs
results: []
outs
This model is a fine-tuned version of biodatlab/whisper-th-medium-combined on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0878
- Cer: 5.4469
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 5000
- num_epochs: 15.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.0275 | 0.9926 | 67 | 0.0804 | 4.9648 |
| 0.0359 | 2.0 | 135 | 0.0807 | 6.0688 |
| 0.0317 | 2.9926 | 202 | 0.0813 | 5.8626 |
| 0.0196 | 4.0 | 270 | 0.0819 | 4.9681 |
| 0.021 | 4.9926 | 337 | 0.0823 | 4.8683 |
| 0.0209 | 6.0 | 405 | 0.0831 | 4.8783 |
| 0.0223 | 6.9926 | 472 | 0.0866 | 5.0080 |
| 0.0173 | 8.0 | 540 | 0.0864 | 5.2541 |
| 0.0231 | 8.9926 | 607 | 0.0839 | 4.6422 |
| 0.0131 | 10.0 | 675 | 0.0860 | 5.3405 |
| 0.0134 | 10.9926 | 742 | 0.0899 | 5.2674 |
| 0.0183 | 12.0 | 810 | 0.0873 | 5.8094 |
| 0.0172 | 12.9926 | 877 | 0.0893 | 4.9215 |
| 0.0178 | 14.0 | 945 | 0.0855 | 5.7096 |
| 0.0127 | 14.8889 | 1005 | 0.0878 | 5.4469 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1