|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: wolof |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# wolof |
|
|
|
This model is a fine-tuned version of [LeBenchmark/wav2vec2-FR-2.6K-base](https://huggingface.co/LeBenchmark/wav2vec2-FR-2.6K-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2816 |
|
- Wer: 0.3897 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 20 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 1000 |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 2.9468 | 1.67 | 1500 | 0.7036 | 0.6418 | |
|
| 0.5506 | 3.33 | 3000 | 0.4129 | 0.5018 | |
|
| 0.3817 | 5.0 | 4500 | 0.3414 | 0.4519 | |
|
| 0.2885 | 6.67 | 6000 | 0.3181 | 0.4305 | |
|
| 0.2275 | 8.33 | 7500 | 0.2920 | 0.4011 | |
|
| 0.1852 | 10.0 | 9000 | 0.2816 | 0.3897 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.18.0 |
|
- Pytorch 1.11.0+cu102 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.12.1 |
|
|
