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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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- common_voice_10_0 |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-j-phoneme-common-test |
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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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# wav2vec2-large-xls-r-300m-j-phoneme-common-test |
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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 common_voice_10_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0000 |
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- Wer: 0.0001 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 50 |
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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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| 0.1488 | 7.14 | 2000 | 0.0788 | 0.0919 | |
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| 0.0308 | 14.28 | 4000 | 0.0155 | 0.0271 | |
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| 0.0121 | 21.43 | 6000 | 0.0070 | 0.0103 | |
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| 0.0067 | 28.57 | 8000 | 0.0059 | 0.0067 | |
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| 0.0025 | 35.71 | 10000 | 0.0143 | 0.0180 | |
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| 0.0001 | 42.85 | 12000 | 0.0000 | 0.0001 | |
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| 0.0 | 50.0 | 14000 | 0.0000 | 0.0001 | |
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### Framework versions |
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- Transformers 4.22.1 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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