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--- |
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language: |
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- sl |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Small Sl - samolego |
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results: [] |
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--- |
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# Whisper Small Sl - samolego |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the |
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ASR database [ARTUR 1.0 (audio) dataset](https://www.clarin.si/repository/xmlui/handle/11356/1776#). It was trained on `Artur-B-brani` and `Artur-B-Studio`. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1226 |
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- Wer: 11.0097 |
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## Model description |
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**Both** `ggml` and `safetensors` formats are available. |
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If you're not familiar with ggml, I'd suggest checking out [whisper.cpp](https://github.com/ggerganov/whisper.cpp). |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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Verdonik, Darinka; et al., 2023, |
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ASR database ARTUR 1.0 (audio), Slovenian language resource repository CLARIN.SI, ISSN 2820-4042, |
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http://hdl.handle.net/11356/1776. |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.2778 | 0.07 | 500 | 0.2748 | 23.0421 | |
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| 0.2009 | 0.14 | 1000 | 0.1972 | 17.3073 | |
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| 0.1643 | 0.21 | 1500 | 0.1658 | 14.5195 | |
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| 0.1569 | 0.28 | 2000 | 0.1495 | 13.1550 | |
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| 0.1344 | 0.36 | 2500 | 0.1380 | 12.2945 | |
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| 0.1295 | 0.43 | 3000 | 0.1302 | 11.6237 | |
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| 0.1239 | 0.5 | 3500 | 0.1249 | 11.2128 | |
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| 0.1178 | 0.57 | 4000 | 0.1226 | 11.0097 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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