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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-run6 |
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results: [] |
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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-run6 |
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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): 41.33% |
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- Wer (Test): 42.49% |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 8.6153 | 0.59 | 100 | 4.0306 | 1.0 | |
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| 3.2623 | 1.17 | 200 | 3.0277 | 1.0 | |
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| 2.9667 | 1.76 | 300 | 2.9436 | 1.0 | |
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| 2.4516 | 2.35 | 400 | 1.4571 | 0.9030 | |
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| 1.174 | 2.93 | 500 | 0.9461 | 0.7412 | |
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| 0.7792 | 3.52 | 600 | 0.6839 | 0.6080 | |
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| 0.5749 | 4.11 | 700 | 0.5418 | 0.5068 | |
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| 0.4187 | 4.69 | 800 | 0.5341 | 0.4902 | |
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| 0.36 | 5.28 | 900 | 0.5231 | 0.4746 | |
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| 0.2934 | 5.87 | 1000 | 0.4457 | 0.4133 | |
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| 0.2338 | 6.45 | 1100 | 0.4904 | 0.4157 | |
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| 0.2245 | 7.04 | 1200 | 0.4952 | 0.4115 | |
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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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