metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: xls-r-asr_af-run7
results: []
xls-r-asr_af-run7
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: 0.5110
- Wer: 0.3826
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: 0.0003
- 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
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.3239 | 1.47 | 250 | 2.9818 | 1.0 |
| 2.0745 | 2.93 | 500 | 0.9755 | 0.7501 |
| 0.6289 | 4.4 | 750 | 0.5517 | 0.4898 |
| 0.3532 | 5.87 | 1000 | 0.4420 | 0.4183 |
| 0.2247 | 7.33 | 1250 | 0.4679 | 0.3955 |
| 0.165 | 8.8 | 1500 | 0.5110 | 0.3826 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3