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--- |
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language: |
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- fr |
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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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model-index: |
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- name: XLS-R-1B - French |
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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: fr |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 18.33 |
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- name: Test CER |
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type: cer |
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value: 5.60 |
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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: Robust Speech Event - Dev Data |
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type: speech-recognition-community-v2/dev_data |
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args: fr |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 31.33 |
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- name: Test CER |
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type: cer |
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value: 13.20 |
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--- |
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## Model description |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - FR dataset. |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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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: 6.0 |
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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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| 0.9827 | 0.29 | 1000 | inf | 0.2937 | |
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| 1.0203 | 0.57 | 2000 | inf | 0.2711 | |
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| 1.0048 | 0.86 | 3000 | inf | 0.2620 | |
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| 0.9858 | 1.15 | 4000 | inf | 0.2522 | |
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| 0.9709 | 1.43 | 5000 | inf | 0.2365 | |
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| 0.9347 | 1.72 | 6000 | inf | 0.2332 | |
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| 0.9256 | 2.01 | 7000 | inf | 0.2261 | |
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| 0.8936 | 2.29 | 8000 | inf | 0.2203 | |
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| 0.877 | 2.58 | 9000 | inf | 0.2096 | |
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| 0.8393 | 2.87 | 10000 | inf | 0.2017 | |
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| 0.8156 | 3.15 | 11000 | inf | 0.1936 | |
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| 0.8015 | 3.44 | 12000 | inf | 0.1880 | |
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| 0.774 | 3.73 | 13000 | inf | 0.1834 | |
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| 0.8372 | 4.01 | 14000 | inf | 0.1934 | |
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| 0.8075 | 4.3 | 15000 | inf | 0.1923 | |
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| 0.8069 | 4.59 | 16000 | inf | 0.1877 | |
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| 0.8064 | 4.87 | 17000 | inf | 0.1955 | |
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| 0.801 | 5.16 | 18000 | inf | 0.1891 | |
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| 0.8022 | 5.45 | 19000 | inf | 0.1895 | |
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| 0.792 | 5.73 | 20000 | inf | 0.1854 | |
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It achieves the best result on the validation set on STEP 13000: |
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- Wer: 0.1834 |
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Some problem occurs when calculating the validation loss. |
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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 1.18.3.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` with split `test` |
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```bash |
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python eval.py --model_id Plim/xls-r-1b-cv_8-fr --dataset mozilla-foundation/common_voice_8_0 --config fr --split test |
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``` |
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2. To evaluate on `speech-recognition-community-v2/dev_data` |
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```bash |
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python eval.py --model_id Plim/xls-r-1b-cv_8-fr --dataset speech-recognition-community-v2/dev_data --config fr --split validation --chunk_length_s 5.0 --stride_length_s 1.0 |
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``` |
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### Evaluation Results |
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Without LM: |
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| Dataset | WER | CER | |
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|:----------:|:-----:|:-----:| |
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| TEST CV | 18.33 | 5.60 | |
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| DEV audio | 31.33 | 13.20 | |
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| TEST audio | / | / | |
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With LM: |
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| Dataset | WER | CER | |
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|:----------:|:-----:|:-----:| |
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| TEST CV | / | / | |
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| DEV audio | / | / | |
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| TEST audio | / | / | |
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