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---
language:
- hu
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
datasets:
- fleurs
metrics:
- wer
model-index:
- name: Whisper Base Hu CV18
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 18.0
type: fleurs
config: hu_hu
split: None
args: hu_hu
metrics:
- name: Wer
type: wer
value: 36.61815521981487
---
<!-- 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 Hu CV18
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 18.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9673
- Wer Ortho: 43.0437
- Wer: 36.6182
## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 0.4737 | 0.1723 | 250 | 0.9877 | 61.4013 | 58.1242 |
| 0.3609 | 0.3446 | 500 | 0.9450 | 56.6701 | 52.1893 |
| 0.2894 | 0.5169 | 750 | 0.9007 | 53.2487 | 48.7805 |
| 0.2652 | 0.6892 | 1000 | 0.8833 | 52.5755 | 47.6039 |
| 0.225 | 0.8615 | 1250 | 0.8573 | 49.4478 | 45.3212 |
| 0.1414 | 1.0338 | 1500 | 0.8702 | 48.7835 | 43.8570 |
| 0.1361 | 1.2061 | 1750 | 0.8836 | 48.6700 | 43.0146 |
| 0.1297 | 1.3784 | 2000 | 0.8782 | 48.1922 | 42.8923 |
| 0.1285 | 1.5507 | 2250 | 0.8695 | 47.0576 | 41.8178 |
| 0.1241 | 1.7229 | 2500 | 0.8498 | 46.3403 | 40.9186 |
| 0.1198 | 1.8952 | 2750 | 0.8658 | 46.1928 | 40.0787 |
| 0.0552 | 2.0675 | 3000 | 0.8843 | 45.9684 | 39.5667 |
| 0.0608 | 2.2398 | 3250 | 0.8747 | 45.2347 | 39.5112 |
| 0.0576 | 2.4121 | 3500 | 0.8752 | 45.0557 | 39.7067 |
| 0.0629 | 2.5844 | 3750 | 0.8949 | 45.2297 | 39.2073 |
| 0.0613 | 2.7567 | 4000 | 0.9124 | 45.4137 | 39.0811 |
| 0.0542 | 2.9290 | 4250 | 0.8890 | 44.1443 | 38.4127 |
| 0.0248 | 3.1013 | 4500 | 0.9102 | 44.2388 | 37.9159 |
| 0.0253 | 3.2736 | 4750 | 0.9119 | 43.5908 | 37.3130 |
| 0.0248 | 3.4459 | 5000 | 0.9342 | 44.2325 | 37.8515 |
| 0.0238 | 3.6182 | 5250 | 0.9300 | 44.0018 | 37.6712 |
| 0.0241 | 3.7905 | 5500 | 0.9281 | 43.6614 | 37.3710 |
| 0.0231 | 3.9628 | 5750 | 0.9352 | 43.6715 | 37.7469 |
| 0.0101 | 4.1351 | 6000 | 0.9549 | 43.3387 | 37.2046 |
| 0.0083 | 4.3074 | 6250 | 0.9580 | 43.2795 | 36.9889 |
| 0.0082 | 4.4797 | 6500 | 0.9571 | 43.2152 | 37.0759 |
| 0.0087 | 4.6520 | 6750 | 0.9592 | 42.6290 | 36.3912 |
| 0.0077 | 4.8243 | 7000 | 0.9675 | 42.9139 | 36.5437 |
| 0.0076 | 4.9966 | 7250 | 0.9673 | 43.0437 | 36.6182 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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