|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice |
|
model-index: |
|
- name: wav2vec2-large-xls-r-300m-turkish-colab |
|
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. --> |
|
|
|
# wav2vec2-large-xls-r-300m-turkish-colab |
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_6.1 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4380 |
|
- Wer: 0.3508 |
|
|
|
## 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 |
|
- num_epochs: 30 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 3.8764 | 3.67 | 400 | 0.7239 | 0.7221 | |
|
| 0.4526 | 7.34 | 800 | 0.5009 | 0.5345 | |
|
| 0.2169 | 11.01 | 1200 | 0.4728 | 0.4693 | |
|
| 0.1438 | 14.68 | 1600 | 0.4648 | 0.4669 | |
|
| 0.1095 | 18.35 | 2000 | 0.4642 | 0.4094 | |
|
| 0.0893 | 22.02 | 2400 | 0.4749 | 0.3879 | |
|
| 0.0701 | 25.69 | 2800 | 0.4410 | 0.3665 | |
|
| 0.056 | 29.36 | 3200 | 0.4380 | 0.3508 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.11.3 |
|
- Pytorch 1.10.0+cu111 |
|
- Datasets 1.18.3 |
|
- Tokenizers 0.10.3 |
|
|