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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-pl-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-pl-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: 0.1589 |
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- Wer: 0.1338 |
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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: 6e-05 |
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- train_batch_size: 16 |
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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: 32 |
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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: 765 |
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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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| 4.9573 | 1.31 | 1000 | 3.2143 | 1.0 | |
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| 1.0216 | 2.61 | 2000 | 0.2310 | 0.2064 | |
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| 0.2925 | 3.92 | 3000 | 0.1888 | 0.1689 | |
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| 0.2252 | 5.23 | 4000 | 0.1731 | 0.1507 | |
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| 0.1983 | 6.54 | 5000 | 0.1722 | 0.1446 | |
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| 0.1757 | 7.84 | 6000 | 0.1637 | 0.1367 | |
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| 0.1656 | 9.15 | 7000 | 0.1589 | 0.1338 | |
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### Framework versions |
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- Transformers 4.21.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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