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