metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: efik_xlsr_asr
results: []
efik_xlsr
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: 0.2311
- Wer: 0.3078
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.138 | 0.9488 | 500 | 0.6798 | 0.6791 |
| 0.7551 | 1.8975 | 1000 | 0.4455 | 0.5362 |
| 0.594 | 2.8463 | 1500 | 0.3514 | 0.4507 |
| 0.479 | 3.7951 | 2000 | 0.3134 | 0.3993 |
| 0.4288 | 4.7438 | 2500 | 0.2846 | 0.3670 |
| 0.3749 | 5.6926 | 3000 | 0.2523 | 0.3343 |
| 0.3287 | 6.6414 | 3500 | 0.2303 | 0.3125 |
| 0.2732 | 7.5901 | 4000 | 0.2311 | 0.3078 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1