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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: xls-r-asr_af-run7 |
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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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# xls-r-asr_af-run7 |
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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 asr_af dataset. |
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It achieves the following results: |
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- Wer (Validation): 41.83% |
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- Wer (Test): 42.12% |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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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| 5.3239 | 1.47 | 250 | 2.9818 | 1.0 | |
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| 2.0745 | 2.93 | 500 | 0.9755 | 0.7501 | |
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| 0.6289 | 4.4 | 750 | 0.5517 | 0.4898 | |
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| 0.3532 | 5.87 | 1000 | 0.4420 | 0.4183 | |
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| 0.2247 | 7.33 | 1250 | 0.4679 | 0.3955 | |
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| 0.165 | 8.8 | 1500 | 0.5110 | 0.3826 | |
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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 |
