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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 |
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model-index: |
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- name: wav2vec2-large-xls-r-1b-Swedish |
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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-1b-Swedish |
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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 common_voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3370 |
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- Wer: 0.1803 |
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- Cer: 0.0569 |
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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: 32 |
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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: 128 |
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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: 1000 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 3.1423 | 5.49 | 500 | 0.5523 | 0.4414 | 0.1313 | |
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| 0.8615 | 10.98 | 1000 | 0.3877 | 0.2946 | 0.0942 | |
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| 0.4848 | 16.48 | 1500 | 0.3580 | 0.2539 | 0.0798 | |
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| 0.3538 | 21.97 | 2000 | 0.3391 | 0.2254 | 0.0709 | |
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| 0.2879 | 27.47 | 2500 | 0.3392 | 0.2151 | 0.0680 | |
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| 0.2466 | 32.96 | 3000 | 0.3687 | 0.2131 | 0.0680 | |
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| 0.2146 | 38.46 | 3500 | 0.3551 | 0.1951 | 0.0618 | |
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| 0.1916 | 43.95 | 4000 | 0.3601 | 0.1867 | 0.0590 | |
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| 0.175 | 49.45 | 4500 | 0.3370 | 0.1803 | 0.0569 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.2.dev0 |
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- Tokenizers 0.11.0 |
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