metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: ft_0126_kor_eng-1
results: []
ft_0126_kor_eng-1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0609
- Cer: 0.2143
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: 100
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 9.5689 | 2.44 | 100 | 6.7682 | 1.0 |
| 3.0585 | 4.88 | 200 | 4.9715 | 1.0 |
| 2.9664 | 7.32 | 300 | 4.7381 | 1.0 |
| 2.9563 | 9.76 | 400 | 4.3435 | 1.0 |
| 2.9441 | 12.2 | 500 | 3.8964 | 1.0 |
| 2.927 | 14.63 | 600 | 3.7284 | 1.0 |
| 2.9019 | 17.07 | 700 | 3.4735 | 1.0 |
| 2.7333 | 19.51 | 800 | 2.8455 | 0.9113 |
| 2.1073 | 21.95 | 900 | 1.8594 | 0.5217 |
| 1.488 | 24.39 | 1000 | 1.4387 | 0.3741 |
| 1.1468 | 26.83 | 1100 | 1.1822 | 0.2872 |
| 0.9639 | 29.27 | 1200 | 1.1472 | 0.2511 |
| 0.8441 | 31.71 | 1300 | 1.0706 | 0.2275 |
| 0.808 | 34.15 | 1400 | 1.0858 | 0.2239 |
| 0.6775 | 36.59 | 1500 | 1.0570 | 0.2136 |
| 0.6496 | 39.02 | 1600 | 1.0609 | 0.2143 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.13.0
- Tokenizers 0.15.0