metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: xls-r-1b-bem-sv-female
results: []
xls-r-1b-bem-sv-female
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3307
- Wer: 0.7996
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6184 | 0.9606 | 500 | 0.5192 | 0.9459 |
| 0.1841 | 1.9212 | 1000 | 0.3375 | 0.8397 |
| 0.1244 | 2.8818 | 1500 | 0.3158 | 0.8397 |
| 0.0757 | 3.8425 | 2000 | 0.3019 | 0.8036 |
| 0.0419 | 4.8031 | 2500 | 0.3307 | 0.7996 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1