metadata
license: apache-2.0
tags:
- automatic-speech-recognition
- google/xtreme_s
- generated_from_trainer
datasets:
- xtreme_s
metrics:
- accuracy
model-index:
- name: xtreme_s_xlsr_minds14_fr
results: []
xtreme_s_xlsr_minds14_fr
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the GOOGLE/XTREME_S - MINDS14.FR-FR dataset. It achieves the following results on the evaluation set:
- Loss: 0.3922
- Accuracy: 0.9135
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 50.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9751 | 10.0 | 50 | 2.0203 | 0.3462 |
| 0.4275 | 20.0 | 100 | 0.7434 | 0.7981 |
| 0.2484 | 30.0 | 150 | 0.7686 | 0.8462 |
| 0.0263 | 40.0 | 200 | 0.3922 | 0.9135 |
| 0.0118 | 50.0 | 250 | 0.4859 | 0.9038 |
Framework versions
- Transformers 4.18.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 1.18.4.dev0
- Tokenizers 0.11.6