metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- fleurs
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-300m-kr-jw4169
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: fleurs
type: fleurs
config: ko_kr
split: train
args: ko_kr
metrics:
- name: Wer
type: wer
value: 0.519593179778642
wav2vec2-large-xls-r-300m-kr-jw4169
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.9752
- Wer: 0.5196
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
35.084 | 1.39 | 200 | 6.8536 | 1.0 |
4.853 | 2.78 | 400 | 4.6246 | 1.0 |
4.5491 | 4.17 | 600 | 4.3815 | 1.0 |
2.799 | 5.55 | 800 | 1.7402 | 0.8642 |
1.3872 | 6.94 | 1000 | 1.2019 | 0.7448 |
0.9599 | 8.33 | 1200 | 1.0594 | 0.7134 |
0.675 | 9.72 | 1400 | 0.9321 | 0.6404 |
0.4775 | 11.11 | 1600 | 0.9088 | 0.5911 |
0.3479 | 12.5 | 1800 | 0.9430 | 0.6010 |
0.2712 | 13.89 | 2000 | 0.8948 | 0.5854 |
0.2283 | 15.28 | 2200 | 0.9009 | 0.5495 |
0.1825 | 16.67 | 2400 | 0.9079 | 0.5501 |
0.161 | 18.06 | 2600 | 0.9518 | 0.5390 |
0.1394 | 19.44 | 2800 | 0.9529 | 0.5399 |
0.1266 | 20.83 | 3000 | 0.9505 | 0.5283 |
0.1102 | 22.22 | 3200 | 0.9748 | 0.5328 |
0.101 | 23.61 | 3400 | 0.9593 | 0.5316 |
0.0907 | 25.0 | 3600 | 0.9832 | 0.5292 |
0.0833 | 26.39 | 3800 | 0.9773 | 0.5181 |
0.0781 | 27.78 | 4000 | 0.9736 | 0.5163 |
0.0744 | 29.17 | 4200 | 0.9752 | 0.5196 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.10.0+cu102
- Datasets 2.6.1
- Tokenizers 0.13.1