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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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datasets: |
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- audiofolder |
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metrics: |
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- wer |
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model-index: |
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- name: xls-r-fleurs_nl-run1 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: audiofolder |
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type: audiofolder |
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config: default |
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split: validation |
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args: default |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.4336403033586132 |
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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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# xls-r-fleurs_nl-run1 |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the FLEURS (nl) dataset. |
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It achieves the following results on the evaluation set: |
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- Wer (Validation): 40.36% |
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- Wer (Test): 40.73% |
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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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| 4.9153 | 1.03 | 250 | 2.9252 | 1.0 | |
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| 2.6885 | 2.05 | 500 | 1.2362 | 0.8548 | |
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| 0.7443 | 3.08 | 750 | 0.6072 | 0.5436 | |
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| 0.3497 | 4.11 | 1000 | 0.5776 | 0.4664 | |
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| 0.2228 | 5.14 | 1250 | 0.5482 | 0.4361 | |
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| 0.1626 | 6.16 | 1500 | 0.5538 | 0.4166 | |
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| 0.1301 | 7.19 | 1750 | 0.5696 | 0.4336 | |
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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 |
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