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wav2vec2-large-xls-r-300m-azeri-colab
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: 0.7742
- Wer: 0.2862
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 9.778 | 1.48 | 100 | 4.5181 | 1.0 |
| 3.5462 | 2.96 | 200 | 3.2628 | 1.0 |
| 3.1799 | 4.44 | 300 | 3.1485 | 1.0 |
| 2.1997 | 5.93 | 400 | 1.0459 | 0.7941 |
| 0.6827 | 7.41 | 500 | 0.5548 | 0.5073 |
| 0.4084 | 8.89 | 600 | 0.7589 | 0.4241 |
| 0.2698 | 10.37 | 700 | 0.4763 | 0.4137 |
| 0.1896 | 11.85 | 800 | 0.4656 | 0.3703 |
| 0.1518 | 13.33 | 900 | 0.5659 | 0.3457 |
| 0.1268 | 14.81 | 1000 | 0.5960 | 0.3488 |
| 0.1067 | 16.3 | 1100 | 0.6429 | 0.3279 |
| 0.0866 | 17.78 | 1200 | 0.5888 | 0.3310 |
| 0.0761 | 19.26 | 1300 | 0.8183 | 0.3208 |
| 0.0659 | 20.74 | 1400 | 0.7465 | 0.3079 |
| 0.0581 | 22.22 | 1500 | 0.7774 | 0.3109 |
| 0.0496 | 23.7 | 1600 | 0.8111 | 0.3006 |
| 0.0448 | 25.19 | 1700 | 0.7206 | 0.2952 |
| 0.0398 | 26.67 | 1800 | 0.7885 | 0.2926 |
| 0.0374 | 28.15 | 1900 | 0.7724 | 0.2862 |
| 0.0345 | 29.63 | 2000 | 0.7742 | 0.2862 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
