metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-th-beta
results: []
wav2vec2-xls-r-300m-th-beta
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: 0.9096
- Wer: 0.7261
- Cer: 0.2160
- Clean Cer: 0.1909
Model description
This model is available until Jan 12, 2023
Intended uses & limitations
More information needed
Training and evaluation data
We use our custom dataset splited into 70k training dataset, and 7k evaluation dataset This is our detailed dataset
- Common Voice 11
- filter 5k fifties age males out
- remain 25k training dataset
- Botnoi voice
- 45k training dataset
Both dataset was through our custom cleansing text data.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Clean Cer |
|---|---|---|---|---|---|---|
| 6.9481 | 0.34 | 500 | 3.5952 | 1.0 | 0.9815 | 0.9779 |
| 2.0387 | 0.68 | 1000 | 0.9096 | 0.7261 | 0.2160 | 0.1909 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2