|
--- |
|
library_name: transformers |
|
language: |
|
- hr |
|
license: apache-2.0 |
|
base_model: openai/whisper-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-base.hr |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# whisper-base.hr |
|
|
|
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the GoranS/stt-croatian_99k_265_2 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3545 |
|
- Wer: 0.2541 |
|
|
|
## 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: 6.25e-06 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 800 |
|
- num_epochs: 5 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:------:| |
|
| 0.6206 | 0.5450 | 1000 | 0.5805 | 0.4175 | |
|
| 0.4639 | 1.0899 | 2000 | 0.4649 | 0.3324 | |
|
| 0.3994 | 1.6349 | 3000 | 0.4169 | 0.2988 | |
|
| 0.3571 | 2.1798 | 4000 | 0.3907 | 0.2884 | |
|
| 0.3248 | 2.7248 | 5000 | 0.3748 | 0.2790 | |
|
| 0.2987 | 3.2698 | 6000 | 0.3660 | 0.2726 | |
|
| 0.3133 | 3.8147 | 7000 | 0.3589 | 0.2544 | |
|
| 0.2829 | 4.3597 | 8000 | 0.3565 | 0.2629 | |
|
| 0.2688 | 4.9046 | 9000 | 0.3545 | 0.2541 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.47.0 |
|
- Pytorch 2.5.1+cu124 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.21.0 |
|
|
