metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: seq-xls-r-fleurs_nl-run2-asr_af-run2
results: []
datasets:
- lucas-meyer/asr_af
seq-xls-r-fleurs_nl-run2-asr_af-run2
This model is a fine-tuned version of lucas-meyer/xls-r-fleurs_nl-run2 on the asr_af dataset. It achieves the following results:
- Wer (Validation): 38.75%
- Wer (Test): 38.66%
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer (Train) |
|---|---|---|---|---|
| 7.6065 | 0.44 | 100 | 3.3086 | 1.0 |
| 3.055 | 0.88 | 200 | 2.9676 | 0.9998 |
| 2.7713 | 1.32 | 300 | 1.9810 | 0.9998 |
| 1.3251 | 1.76 | 400 | 0.8096 | 0.6136 |
| 0.7431 | 2.2 | 500 | 0.6821 | 0.5622 |
| 0.5789 | 2.64 | 600 | 0.5596 | 0.5133 |
| 0.4866 | 3.08 | 700 | 0.4707 | 0.4381 |
| 0.3558 | 3.52 | 800 | 0.4653 | 0.4353 |
| 0.3362 | 3.96 | 900 | 0.4878 | 0.4235 |
| 0.2631 | 4.41 | 1000 | 0.4621 | 0.3907 |
| 0.2667 | 4.85 | 1100 | 0.4746 | 0.3841 |
| 0.2464 | 5.29 | 1200 | 0.4383 | 0.3780 |
| 0.205 | 5.73 | 1300 | 0.4207 | 0.3877 |
| 0.1939 | 6.17 | 1400 | 0.4490 | 0.3746 |
| 0.1644 | 6.61 | 1500 | 0.4325 | 0.3549 |
| 0.1782 | 7.05 | 1600 | 0.4699 | 0.3791 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3