|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_8_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: wav2vec2-large-xls-r-1b-frisian-cv-8-10m |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_8_0 |
|
type: common_voice_8_0 |
|
config: fy-NL |
|
split: validation |
|
args: fy-NL |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.7612841022711041 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# wav2vec2-large-xls-r-1b-frisian-cv-8-10m |
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the common_voice_8_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1618 |
|
- Wer: 0.7613 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 80 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 8.7106 | 6.25 | 50 | 4.0034 | 1.0 | |
|
| 3.4036 | 12.5 | 100 | 3.1030 | 1.0 | |
|
| 3.7265 | 18.75 | 150 | 3.0466 | 1.0 | |
|
| 3.2292 | 25.0 | 200 | 3.0166 | 1.0 | |
|
| 3.1305 | 31.25 | 250 | 2.9699 | 1.0 | |
|
| 3.0447 | 37.5 | 300 | 2.9144 | 1.0 | |
|
| 2.9037 | 43.75 | 350 | 2.2919 | 0.9998 | |
|
| 2.1115 | 50.0 | 400 | 1.3995 | 0.9429 | |
|
| 1.3456 | 56.25 | 450 | 1.1093 | 0.8435 | |
|
| 1.3206 | 62.5 | 500 | 1.1573 | 0.8112 | |
|
| 1.0078 | 68.75 | 550 | 1.1746 | 0.7757 | |
|
| 1.0674 | 75.0 | 600 | 1.1618 | 0.7613 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.28.1 |
|
- Pytorch 2.0.0+cu117 |
|
- Datasets 2.11.0 |
|
- Tokenizers 0.13.3 |
|
|