metadata
license: apache-2.0
base_model: jonatasgrosman/wav2vec2-large-xlsr-53-japanese
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2phone-large-xlsr-jp-jdrt5N-demo
results: []
wav2vec2phone-large-xlsr-jp-jdrt5N-demo
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-japanese on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3714
- Wer: 0.4730
- Cer: 0.5054
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 4
- 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
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.5238 | 1.0 | 567 | 1.3532 | 0.8709 | 0.6208 |
| 1.2812 | 2.0 | 1134 | 0.8674 | 0.6835 | 0.5633 |
| 1.1329 | 3.0 | 1701 | 0.7105 | 0.6164 | 0.5564 |
| 1.0267 | 4.0 | 2268 | 0.6111 | 0.5775 | 0.5401 |
| 1.0415 | 5.0 | 2835 | 0.5505 | 0.5499 | 0.5482 |
| 0.9767 | 6.0 | 3402 | 0.4986 | 0.5210 | 0.5204 |
| 1.0392 | 7.0 | 3969 | 0.4655 | 0.5082 | 0.5194 |
| 0.9235 | 8.0 | 4536 | 0.4457 | 0.4989 | 0.5136 |
| 0.9511 | 9.0 | 5103 | 0.4201 | 0.4917 | 0.5106 |
| 0.8998 | 10.0 | 5670 | 0.4031 | 0.4869 | 0.5081 |
| 0.8883 | 11.0 | 6237 | 0.3920 | 0.4814 | 0.5107 |
| 0.856 | 12.0 | 6804 | 0.3834 | 0.4790 | 0.5094 |
| 0.8814 | 13.0 | 7371 | 0.3772 | 0.4761 | 0.5081 |
| 0.8352 | 14.0 | 7938 | 0.3737 | 0.4735 | 0.5052 |
| 0.9001 | 15.0 | 8505 | 0.3714 | 0.4730 | 0.5054 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3