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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- openslr_SLR66 |
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- robust-speech-event |
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- generated_from_trainer |
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model-index: |
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- name: '' |
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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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# |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the OPENSLR_SLR66 - NA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5929 |
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- Wer: 0.7180 |
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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: 1e-05 |
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- train_batch_size: 16 |
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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: 64 |
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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: 300 |
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- num_epochs: 100.0 |
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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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| 1.5794 | 9.61 | 500 | 0.9860 | 0.9582 | |
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| 1.0985 | 19.23 | 1000 | 0.5948 | 0.7534 | |
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| 0.9551 | 28.84 | 1500 | 0.5892 | 0.7392 | |
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| 0.8699 | 38.46 | 2000 | 0.5927 | 0.72 | |
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| 0.8372 | 48.08 | 2500 | 0.5939 | 0.7385 | |
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| 0.7794 | 57.69 | 3000 | 0.5801 | 0.7388 | |
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| 0.7565 | 67.31 | 3500 | 0.5827 | 0.7184 | |
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| 0.7303 | 76.92 | 4000 | 0.5800 | 0.7297 | |
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| 0.7128 | 86.54 | 4500 | 0.5977 | 0.7150 | |
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| 0.6972 | 96.15 | 5000 | 0.5901 | 0.7177 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 1.17.1.dev0 |
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- Tokenizers 0.11.0 |
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