wav2vec2-large-xlsr-fleurs
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the google/fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 4.6073
- Accuracy: 0.016
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 250
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.6254 | 0.8 | 50 | 4.6180 | 0.015 |
| 4.6383 | 1.61 | 100 | 4.6073 | 0.016 |
| 4.6262 | 2.42 | 150 | 4.5770 | 0.015 |
| 4.5614 | 3.22 | 200 | 4.5759 | 0.015 |
| 4.8119 | 4.03 | 250 | 4.5678 | 0.014 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2