| --- |
| language: |
| - fr |
| license: apache-2.0 |
| tags: |
| - automatic-speech-recognition |
| - mozilla-foundation/common_voice_8_0 |
| - generated_from_trainer |
| model-index: |
| - name: XLS-R-300m - 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: to recompute with STEP 24000 |
| - name: Test CER |
| type: cer |
| value: to recompute with STEP 24000 |
| - 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: 35.29 |
| - name: Test CER |
| type: cer |
| value: 13.94 |
|
|
| --- |
| |
| ## Model description |
|
|
| 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 - 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: 5.0 (extended to 7.0 with training with checkpoint) |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:| |
| | 2.9114 | 0.29 | 1000 | inf | 0.9997 | |
| | 1.2436 | 0.57 | 2000 | inf | 0.4310 | |
| | 1.0552 | 0.86 | 3000 | inf | 0.3144 | |
| | 1.0044 | 1.15 | 4000 | inf | 0.2814 | |
| | 0.9718 | 1.43 | 5000 | inf | 0.2658 | |
| | 0.9502 | 1.72 | 6000 | inf | 0.2566 | |
| | 0.9418 | 2.01 | 7000 | inf | 0.2476 | |
| | 0.9215 | 2.29 | 8000 | inf | 0.2420 | |
| | 0.9236 | 2.58 | 9000 | inf | 0.2388 | |
| | 0.9014 | 2.87 | 10000 | inf | 0.2354 | |
| | 0.8814 | 3.15 | 11000 | inf | 0.2312 | |
| | 0.8809 | 3.44 | 12000 | inf | 0.2285 | |
| | 0.8717 | 3.73 | 13000 | inf | 0.2263 | |
| | 0.8787 | 4.01 | 14000 | inf | 0.2218 | |
| | 0.8567 | 4.3 | 15000 | inf | 0.2193 | |
| | 0.8488 | 4.59 | 16000 | inf | 0.2187 | |
| | 0.8359 | 4.87 | 17000 | inf | 0.2172 | |
| |
| Training continued with checkpoint from STEP 17000: |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:| |
| | / | 5.16 | 18000 | inf | 0.2176 | |
| | / | 5.45 | 19000 | inf | 0.2181 | |
| | / | 5.73 | 20000 | inf | 0.2155 | |
| | / | 6.02 | 21000 | inf | 0.2140 | |
| | / | 6.31 | 22000 | inf | 0.2124 | |
| | / | 6.59 | 23000 | inf | 0.2117 | |
| | / | 6.88 | 24000 | inf | 0.2116 | |
| |
| |
| It achieves the best result on the validation set on Step 24000: |
| - Wer: 0.2116 |
| |
| Got some issue with validation loss calculation. |
| |
| ### 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-300m-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-300m-cv_8-fr --dataset speech-recognition-community-v2/dev_data --config fr --split validation --chunk_length_s 5.0 --stride_length_s 1.0 |
| ``` |
| |
