| --- |
| language: |
| - fr |
| tags: |
| - automatic-speech-recognition |
| - mozilla-foundation/common_voice_7_0 |
| - generated_from_trainer |
| model-index: |
| - name: '' |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # |
|
|
| This model is a fine-tuned version of [./checkpoint-6000](https://huggingface.co/./checkpoint-6000) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - FR dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2619 |
| - Wer: 0.2457 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## 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: 2.0 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 3.495 | 0.16 | 500 | 3.3883 | 1.0 | |
| | 2.9095 | 0.32 | 1000 | 2.9152 | 1.0000 | |
| | 1.8434 | 0.49 | 1500 | 1.0473 | 0.7446 | |
| | 1.4298 | 0.65 | 2000 | 0.5729 | 0.5130 | |
| | 1.1937 | 0.81 | 2500 | 0.3795 | 0.3450 | |
| | 1.1248 | 0.97 | 3000 | 0.3321 | 0.3052 | |
| | 1.0835 | 1.13 | 3500 | 0.3038 | 0.2805 | |
| | 1.0479 | 1.3 | 4000 | 0.2910 | 0.2689 | |
| | 1.0413 | 1.46 | 4500 | 0.2798 | 0.2593 | |
| | 1.014 | 1.62 | 5000 | 0.2727 | 0.2512 | |
| | 1.004 | 1.78 | 5500 | 0.2646 | 0.2471 | |
| | 0.9949 | 1.94 | 6000 | 0.2619 | 0.2457 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.17.0.dev0 |
| - Pytorch 1.10.2+cu102 |
| - Datasets 1.18.2.dev0 |
| - Tokenizers 0.11.0 |
| |
