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README.md
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The model was fine-tuned on the data from the [Lahjoita puhetta (Donate Speech) corpus](https://link.springer.com/article/10.1007/s10579-022-09606-3) so this model might have biases towards colloquial Finnish.
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## Citation
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If you use our models or scripts, please cite our article as:
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The model was fine-tuned on the data from the [Lahjoita puhetta (Donate Speech) corpus](https://link.springer.com/article/10.1007/s10579-022-09606-3) so this model might have biases towards colloquial Finnish.
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## Evaluation results
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Evaluation results in terms of WER (word error rate) and CER (character error rate) on the Lahjoita puhetta dev and test sets:
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|**System** | **Labeled training data, h** | **dev WER [%]** | **dev CER [%]** | **test WER [%]** | **test CER [%]** |
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|-----------------------------------------------------------------------------------------------------------------------------|------------------------------|-------------|--------------|---------------|---------------|
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|**Base Models**
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|[GetmanY1/wav2vec2-base-fi-voxpopuli-v2-100h](https://huggingface.co/GetmanY1/wav2vec2-base-fi-voxpopuli-v2-100h) |100 |29.35|7.94|31.90|9.05|
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|[GetmanY1/wav2vec2-base-fi-voxpopuli-v2-1500h](https://huggingface.co/GetmanY1/wav2vec2-base-fi-voxpopuli-v2-100h) |1500|22.18|5.96|24.43|6.97|
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|[GetmanY1/wav2vec2-base-fi-lp-from-scratch-100h](https://huggingface.co/GetmanY1/wav2vec2-base-fi-lp-from-scratch-100h) |100 |26.40|6.86|28.92|8.09|
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|[GetmanY1/wav2vec2-base-fi-lp-from-scratch-1500h](https://huggingface.co/GetmanY1/wav2vec2-base-fi-lp-from-scratch-1500h) |1500|21.61|5.59|24.35|6.87|
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|[GetmanY1/wav2vec2-base-fi-lp-cont-pt-100h](https://huggingface.co/GetmanY1/wav2vec2-base-fi-lp-cont-pt-100h) |100 |22.49|5.84|24.95|7.09|
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|[GetmanY1/wav2vec2-base-fi-lp-cont-pt-1500h](https://huggingface.co/GetmanY1/wav2vec2-base-fi-lp-cont-pt-1500h) |1500|**17.38**|**4.61**|**19.65**|**5.69**|
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|**Large Models**
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|[GetmanY1/wav2vec2-large-uralic-voxpopuli-v2-100h](https://huggingface.co/GetmanY1/wav2vec2-large-uralic-voxpopuli-v2-100h) |100 |21.02|5.70|22.98|6.90|
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|[GetmanY1/wav2vec2-large-uralic-voxpopuli-v2-1500h](https://huggingface.co/GetmanY1/wav2vec2-large-uralic-voxpopuli-v2-1500h)|1500|19.14|5.05|20.49|5.93|
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|[GetmanY1/wav2vec2-large-fi-lp-from-scratch-100h](https://huggingface.co/GetmanY1/wav2vec2-large-fi-lp-from-scratch-100h) |100 |21.66|5.61|23.85|6.76|
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|[GetmanY1/wav2vec2-large-fi-lp-from-scratch-1500h](https://huggingface.co/GetmanY1/wav2vec2-large-fi-lp-from-scratch-1500h) |1500|17.54|4.59|19.26|5.58|
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|[GetmanY1/wav2vec2-large-fi-lp-cont-pt-100h](https://huggingface.co/GetmanY1/wav2vec2-large-fi-lp-cont-pt-100h) |100 |20.20|5.40|22.81|6.64|
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|[GetmanY1/wav2vec2-large-fi-lp-cont-pt-1500h](https://huggingface.co/GetmanY1/wav2vec2-large-fi-lp-cont-pt-1500h) |1500|**16.24**|**4.34**|**18.04**|**5.29**|
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## Citation
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If you use our models or scripts, please cite our article as:
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