metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-fr-1h
results: []
wav2vec2-xls-r-300m-fr-1h
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5292
- Wer: 0.3512
- Cer: 0.1108
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: 7e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.0018 | 11.3636 | 500 | 2.9956 | 1.0 | 1.0 |
| 2.879 | 22.7273 | 1000 | 2.9314 | 0.9958 | 0.9427 |
| 1.2342 | 34.0909 | 1500 | 0.8271 | 0.6077 | 0.1944 |
| 0.8487 | 45.4545 | 2000 | 0.5908 | 0.4622 | 0.1393 |
| 0.7073 | 56.8182 | 2500 | 0.5337 | 0.4119 | 0.1257 |
| 0.5277 | 68.1818 | 3000 | 0.5089 | 0.3837 | 0.1171 |
| 0.4473 | 79.5455 | 3500 | 0.5158 | 0.3666 | 0.1120 |
| 0.4438 | 90.9091 | 4000 | 0.5199 | 0.3610 | 0.1122 |
| 0.4289 | 102.2727 | 4500 | 0.5246 | 0.3496 | 0.1106 |
| 0.4218 | 113.6364 | 5000 | 0.5292 | 0.3512 | 0.1108 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1