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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-colab |
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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-colab |
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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: 0.5212 |
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- Wer: 0.2998 |
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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: 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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| 0.7364 | 3.0 | 2000 | 0.4703 | 0.4503 | |
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| 0.5673 | 6.01 | 4000 | 0.4585 | 0.3855 | |
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| 0.5048 | 9.01 | 6000 | 0.4567 | 0.3543 | |
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| 0.4567 | 12.01 | 8000 | 0.4433 | 0.3473 | |
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| 0.4194 | 15.02 | 10000 | 0.4491 | 0.3386 | |
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| 0.3905 | 18.02 | 12000 | 0.4829 | 0.3360 | |
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| 0.3644 | 21.02 | 14000 | 0.5032 | 0.3306 | |
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| 0.3441 | 24.02 | 16000 | 0.5242 | 0.3389 | |
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| 0.2589 | 27.03 | 18000 | 0.5212 | 0.2998 | |
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### Framework versions |
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- Transformers 4.22.2 |
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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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