wav2vec2-large-xls-r-300m-korean-s5
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: 0.0236
- Cer: 0.0041
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: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Cer |
---|---|---|---|---|
8.6117 | 0.39 | 800 | 3.1381 | 0.9999 |
0.6539 | 0.78 | 1600 | 0.3426 | 0.0932 |
0.3963 | 1.17 | 2400 | 0.1645 | 0.0428 |
0.2286 | 1.56 | 3200 | 0.1001 | 0.0254 |
0.1656 | 1.94 | 4000 | 0.0567 | 0.0135 |
0.1271 | 2.33 | 4800 | 0.0334 | 0.0065 |
0.1039 | 2.72 | 5600 | 0.0236 | 0.0041 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.13.1
- Downloads last month
- 12
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.