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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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model-index: |
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- name: xlsr-53-bemba-10hrs |
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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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# xlsr-53-bemba-10hrs |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3190 |
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- Wer: 0.4032 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 400 |
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- num_epochs: 10 |
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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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| 3.3207 | 1.07 | 400 | 0.3720 | 0.5923 | |
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| 0.5688 | 2.14 | 800 | 0.3073 | 0.5002 | |
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| 0.3927 | 3.22 | 1200 | 0.2678 | 0.4521 | |
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| 0.316 | 4.29 | 1600 | 0.2703 | 0.4261 | |
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| 0.2531 | 5.36 | 2000 | 0.2663 | 0.4198 | |
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| 0.2051 | 6.43 | 2400 | 0.2614 | 0.4037 | |
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| 0.1584 | 7.51 | 2800 | 0.2853 | 0.4046 | |
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| 0.1343 | 8.58 | 3200 | 0.3072 | 0.4121 | |
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| 0.1031 | 9.65 | 3600 | 0.3190 | 0.4032 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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