|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: wav2vec2-large-xls-r-300m-korean-g |
|
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-korean-g |
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.9226 |
|
- Cer: 0.1638 |
|
|
|
## 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: 8 |
|
- 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: 30 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 4.8333 | 3.25 | 500 | 3.4624 | 0.9560 | |
|
| 1.243 | 6.49 | 1000 | 1.0049 | 0.2488 | |
|
| 0.3657 | 9.74 | 1500 | 0.8749 | 0.2087 | |
|
| 0.2104 | 12.99 | 2000 | 0.8799 | 0.1909 | |
|
| 0.1508 | 16.23 | 2500 | 0.9321 | 0.1845 | |
|
| 0.1245 | 19.48 | 3000 | 0.8778 | 0.1744 | |
|
| 0.1048 | 22.73 | 3500 | 0.9793 | 0.1808 | |
|
| 0.0922 | 25.97 | 4000 | 0.9464 | 0.1697 | |
|
| 0.0801 | 29.22 | 4500 | 0.9226 | 0.1638 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.17.0 |
|
- Pytorch 1.10.0+cu113 |
|
- Datasets 1.18.3 |
|
- Tokenizers 0.13.0 |
|
|