metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-thai-ASR
results: []
wav2vec2-thai-ASR
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6108
- Wer: 0.5636
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: 16
- eval_batch_size: 8
- 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
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
7.1123 | 2.65 | 400 | 3.3946 | 1.0002 |
1.5734 | 5.3 | 800 | 0.6881 | 0.7290 |
0.5934 | 7.94 | 1200 | 0.5789 | 0.6402 |
0.4059 | 10.59 | 1600 | 0.5496 | 0.5976 |
0.3136 | 13.24 | 2000 | 0.6109 | 0.5863 |
0.2546 | 15.89 | 2400 | 0.6113 | 0.5865 |
0.2184 | 18.54 | 2800 | 0.6108 | 0.5636 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0