metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- automatic-speech-recognition
- abdouaziiz/fula_without_num
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-fula
results: []
wav2vec2-xls-r-300m-fula
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the ABDOUAZIIZ/FULA_WITHOUT_NUM - NA dataset. It achieves the following results on the evaluation set:
- Loss: 0.4631
- Wer: 1.0057
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: 12
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 30.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4752 | 1.0309 | 2000 | 0.5954 | 1.0 |
| 0.3858 | 2.0619 | 4000 | 0.4631 | 1.0057 |
| 0.3571 | 3.0928 | 6000 | 0.4864 | 1.0073 |
| 0.2857 | 4.1237 | 8000 | 0.4647 | 1.0008 |
| 0.2628 | 5.1546 | 10000 | 0.5844 | 1.0065 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1