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--- |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- robust-speech-event |
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- generated_from_trainer |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-hi |
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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-hi |
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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 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5039 |
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- Wer: 0.8877 |
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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: 7.5e-05 |
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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: 4 |
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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: 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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| 9.4071 | 4.76 | 400 | 3.5871 | 1.0 | |
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| 3.5056 | 9.52 | 800 | 3.4414 | 1.0 | |
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| 2.9652 | 14.28 | 1200 | 2.1936 | 0.9573 | |
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| 1.3822 | 19.05 | 1600 | 2.1039 | 0.9157 | |
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| 0.9906 | 23.81 | 2000 | 2.2512 | 0.8960 | |
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| 0.8405 | 28.57 | 2400 | 2.2878 | 0.8931 | |
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| 0.7686 | 33.33 | 2800 | 2.3291 | 0.8884 | |
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| 0.7092 | 38.09 | 3200 | 2.4806 | 0.8921 | |
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| 0.6757 | 42.85 | 3600 | 2.4675 | 0.8847 | |
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| 0.6606 | 47.62 | 4000 | 2.5039 | 0.8877 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 1.17.1.dev0 |
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- Tokenizers 0.10.3 |
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Built during robust-speech-challenge. Will keep updating the same ! |
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Thanks Patrick, Anton for the wonderful event. |