 Evaluation results  Evaluation was done with the [Common Voice 7.0 Finnish test split](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).  To evaluate this model, run the `eval.py` script in this repository:  ```bash python3 eval.py --model_id aapot/wav2vec2-xlsr-1b-finnish-lm --dataset mozilla-foundation/common_voice_7_0 --config fi --split test ```  This model (the second row of the table) achieves the following WER (Word Error Rate) and CER (Character Error Rate) results compared to our other models:  |                                         | WER (with LM) | WER (without LM) | CER (with LM) | CER (without LM) | |-----------------------------------------|---------------|------------------|---------------|------------------| |aapot/wav2vec2-xlsr-1b-finnish-lm-v2     |**4.09**       |**9.73**          |**0.88**       |**1.65**          | |aapot/wav2vec2-xlsr-1b-finnish-lm        |5.65           |13.11             |1.20           |2.23              | |aapot/wav2vec2-xlsr-300m-finnish-lm      |8.16           |17.92             |1.97           |3.36              |  