| --- |
| language: |
| - fr |
| license: apache-2.0 |
| tags: |
| - automatic-speech-recognition |
| - mozilla-foundation/common_voice_8_0 |
| - generated_from_trainer |
| model-index: |
| - name: XLS-R-1B - French |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 8 |
| type: mozilla-foundation/common_voice_8_0 |
| args: fr |
| metrics: |
| - name: Test WER |
| type: wer |
| value: 18.33 |
| - name: Test CER |
| type: cer |
| value: 5.60 |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Robust Speech Event - Dev Data |
| type: speech-recognition-community-v2/dev_data |
| args: fr |
| metrics: |
| - name: Test WER |
| type: wer |
| value: 60.25 |
| - name: Test CER |
| type: cer |
| value: 15.68 |
| --- |
| |
| ## Model description |
|
|
| 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. |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 7.5e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 2000 |
| - num_epochs: 4.0 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:| |
| | 0.9827 | 0.29 | 1000 | inf | 0.2937 | |
| | 1.0203 | 0.57 | 2000 | inf | 0.2711 | |
| | 1.0048 | 0.86 | 3000 | inf | 0.2620 | |
| | 0.9858 | 1.15 | 4000 | inf | 0.2522 | |
| | 0.9709 | 1.43 | 5000 | inf | 0.2365 | |
| | 0.9347 | 1.72 | 6000 | inf | 0.2332 | |
| | 0.9256 | 2.01 | 7000 | inf | 0.2261 | |
| | 0.8936 | 2.29 | 8000 | inf | 0.2203 | |
| | 0.877 | 2.58 | 9000 | inf | 0.2096 | |
| | 0.8393 | 2.87 | 10000 | inf | 0.2017 | |
| | 0.8156 | 3.15 | 11000 | inf | 0.1936 | |
| | 0.8015 | 3.44 | 12000 | inf | 0.1880 | |
| | 0.774 | 3.73 | 13000 | inf | 0.1834 | |
| |
| It achieves the best result on the validation set on STEP 13000: |
| - Wer: 0.1834 |
| |
| Some problem occurs when calculating the validation loss. |
| |
| ### Framework versions |
| |
| - Transformers 4.17.0.dev0 |
| - Pytorch 1.10.2+cu102 |
| - Datasets 1.18.3.dev0 |
| - Tokenizers 0.11.0 |
| |
| ### Evaluation Commands |
| 1. To evaluate on `mozilla-foundation/common_voice_8` with split `test` |
| |
| ```bash |
| python eval.py --model_id Plim/xls-r-1b-cv_8-fr --dataset mozilla-foundation/common_voice_8_0 --config fr --split test |
| ``` |
| |
| 2. To evaluate on `speech-recognition-community-v2/dev_data` |
| |
| ```bash |
| 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 |
| ``` |
| |
