metadata
language:
- tr
license: apache-2.0
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-common_voice-tr-demo
results: []
wav2vec2-common_voice-tr-demo
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:
- Loss: 0.3798
- Wer: 0.3448
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: 15.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.92 | 100 | 3.5932 | 1.0 |
| No log | 1.83 | 200 | 3.0185 | 0.9999 |
| No log | 2.75 | 300 | 0.9357 | 0.8007 |
| No log | 3.67 | 400 | 0.5945 | 0.6318 |
| 3.1829 | 4.59 | 500 | 0.4931 | 0.5265 |
| 3.1829 | 5.5 | 600 | 0.4757 | 0.4784 |
| 3.1829 | 6.42 | 700 | 0.4282 | 0.4540 |
| 3.1829 | 7.34 | 800 | 0.3995 | 0.4252 |
| 3.1829 | 8.26 | 900 | 0.4046 | 0.4149 |
| 0.2215 | 9.17 | 1000 | 0.4048 | 0.3951 |
| 0.2215 | 10.09 | 1100 | 0.3944 | 0.3865 |
| 0.2215 | 11.01 | 1200 | 0.3853 | 0.3643 |
| 0.2215 | 11.93 | 1300 | 0.3950 | 0.3632 |
| 0.2215 | 12.84 | 1400 | 0.3836 | 0.3506 |
| 0.1009 | 13.76 | 1500 | 0.3808 | 0.3510 |
| 0.1009 | 14.68 | 1600 | 0.3807 | 0.3456 |
Framework versions
- Transformers 4.22.0.dev0
- Pytorch 1.12.1+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1