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--- |
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language: |
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- ja |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_8_0 |
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- generated_from_trainer |
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- robust-speech-event |
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- ja |
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datasets: |
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- common_voice |
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model-index: |
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- name: 'XLS-R-300-m' |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 8 |
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type: mozilla-foundation/common_voice_8_0 |
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args: ja |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 94.91 |
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- name: Test CER |
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type: cer |
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value: 23.32 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - JA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5351 |
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- Wer: 2.6188 |
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Kanji are converted into Hiragana using the [pykakasi](https://pykakasi.readthedocs.io/en/latest/index.html) library during training and evaluation. The model can output both Hiragana and Katakana characters. |
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## Model description |
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More information needed |
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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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More information needed |
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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: 7.5e-05 |
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- train_batch_size: 48 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 2000 |
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- num_epochs: 50.0 |
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- mixed_precision_training: Native AMP |
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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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| 4.221 | 4.5 | 1000 | 4.1195 | 2.4024 | |
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| 2.3597 | 9.01 | 2000 | 1.1024 | 2.7618 | |
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| 1.8795 | 13.51 | 3000 | 0.7498 | 2.5885 | |
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| 1.7143 | 18.02 | 4000 | 0.6539 | 2.5976 | |
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| 1.6025 | 22.52 | 5000 | 0.5989 | 2.6034 | |
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| 1.5403 | 27.03 | 6000 | 0.6035 | 2.6946 | |
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| 1.4773 | 31.53 | 7000 | 0.5647 | 2.5558 | |
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| 1.4228 | 36.04 | 8000 | 0.5477 | 2.5676 | |
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| 1.3801 | 40.54 | 9000 | 0.5413 | 2.6192 | |
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| 1.3558 | 45.05 | 10000 | 0.5343 | 2.6575 | |
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| 1.3298 | 49.55 | 11000 | 0.5349 | 2.6274 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.2.dev0 |
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- Tokenizers 0.11.0 |
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#### Evaluation Commands |
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1. To evaluate on `mozilla-foundation/common_voice_8_0` with split `test` |
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```bash |
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python ./eval.py --model_id AndrewMcDowell/wav2vec2-xls-r-300m-japanese --dataset mozilla-foundation/common_voice_8_0 --config ja --split test --log_outputs |
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``` |
