metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- automatic-speech-recognition
- natbed
- generated_from_trainer
metrics:
- wer
model-index:
- name: xls-r-1b-bem-natbed-non-native-model
results: []
xls-r-1b-bem-natbed-non-native-model
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the NATBED - BEM dataset. It achieves the following results on the evaluation set:
- Loss: 0.6818
- Wer: 0.7142
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: 100
- num_epochs: 30.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.8975 | 0.4515 | 100 | 1.1343 | 0.9316 |
| 1.0247 | 0.9029 | 200 | 0.9811 | 0.8826 |
| 0.9631 | 1.3544 | 300 | 0.8108 | 0.7524 |
| 0.8711 | 1.8059 | 400 | 0.7749 | 0.7638 |
| 0.7935 | 2.2573 | 500 | 0.8008 | 0.8232 |
| 0.7869 | 2.7088 | 600 | 0.7334 | 0.7262 |
| 0.7265 | 3.1603 | 700 | 0.7239 | 0.6950 |
| 0.7011 | 3.6117 | 800 | 0.7077 | 0.6807 |
| 0.7343 | 4.0632 | 900 | 0.6985 | 0.6914 |
| 0.6624 | 4.5147 | 1000 | 0.6818 | 0.7142 |
| 0.6642 | 4.9661 | 1100 | 0.7097 | 0.6968 |
| 0.6064 | 5.4176 | 1200 | 0.7195 | 0.6856 |
| 0.5867 | 5.8691 | 1300 | 0.6899 | 0.6880 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0