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---
language:
- hr
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- parlaSmall
metrics:
- wer
model-index:
- name: Whisper Small Croatian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: parlaSmall_subset
type: parlaSmall
config: default
split: None
args: 'config: hr, split: test'
metrics:
- name: Wer
type: wer
value: 25.440806045340054
---
<!-- 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 Small Croatian
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the parlaSmall_subset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5739
- Wer: 25.4408
## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0003 | 32.52 | 1000 | 0.5073 | 25.0630 |
| 0.0001 | 65.04 | 2000 | 0.5470 | 25.5668 |
| 0.0001 | 97.56 | 3000 | 0.5668 | 25.0630 |
| 0.0 | 130.08 | 4000 | 0.5739 | 25.4408 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.0.0
- Datasets 2.19.1
- Tokenizers 0.15.1
|