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---
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
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