metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-1b-faroese-100h-5k-steps
results: []
wav2vec2-xls-r-1b-faroese-100h-5k-steps
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: 0.2200
- Wer: 38.3783
- Cer: 11.6507
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.006 | 0.4640 | 1000 | 0.6140 | 71.3811 | 22.6529 |
| 0.7219 | 0.9281 | 2000 | 0.4564 | 60.0262 | 18.6149 |
| 0.6682 | 1.3921 | 3000 | 0.3286 | 47.9666 | 14.9048 |
| 0.3491 | 1.8561 | 4000 | 0.2586 | 42.2237 | 12.8636 |
| 0.2501 | 2.3202 | 5000 | 0.2200 | 38.3783 | 11.6507 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0