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--- |
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license: apache-2.0 |
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language: br |
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tags: |
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- generated_from_trainer |
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- robust-speech-event |
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- hf-asr-leaderboard |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-xls-r-300m-Br-small |
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results: |
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- task: |
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name: Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice br |
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type: common_voice |
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args: br |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 66.75 |
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--- |
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# wav2vec2-xls-r-300m-Br-small |
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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: 1.0573 |
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- Wer: 0.6675 |
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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: 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: 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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| 5.7464 | 2.79 | 400 | 1.7474 | 1.1018 | |
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| 1.1117 | 5.59 | 800 | 0.9434 | 0.8697 | |
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| 0.6481 | 8.39 | 1200 | 0.9251 | 0.7910 | |
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| 0.4754 | 11.19 | 1600 | 0.9208 | 0.7412 | |
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| 0.3602 | 13.98 | 2000 | 0.9284 | 0.7232 | |
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| 0.2873 | 16.78 | 2400 | 0.9299 | 0.6940 | |
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| 0.2386 | 19.58 | 2800 | 1.0182 | 0.6927 | |
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| 0.1971 | 22.38 | 3200 | 1.0456 | 0.6898 | |
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| 0.1749 | 25.17 | 3600 | 1.0208 | 0.6769 | |
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| 0.1487 | 27.97 | 4000 | 1.0573 | 0.6675 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.14.0 |
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- Tokenizers 0.10.3 |
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