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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_8_0 |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-xls-r-1b-frisian-cv-8-10m |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: common_voice_8_0 |
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type: common_voice_8_0 |
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config: fy-NL |
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split: validation |
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args: fy-NL |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.5262462505356378 |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: common_voice_8_0 |
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type: common_voice_8_0 |
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config: fy-NL |
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split: test |
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args: fy-NL |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.6225249313484608 |
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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-frisian-cv-8-10m |
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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_8_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9269 |
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- Wer: 0.5262 |
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And on the test set: |
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- Wer: 0.6225 |
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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: 7e-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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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 80 |
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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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| 9.2929 | 6.25 | 50 | 3.0514 | 1.0 | |
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| 3.315 | 12.5 | 100 | 3.2255 | 1.0 | |
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| 3.1506 | 18.75 | 150 | 2.9924 | 1.0 | |
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| 2.9773 | 25.0 | 200 | 2.2199 | 1.0 | |
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| 2.1616 | 31.25 | 250 | 1.1423 | 0.8603 | |
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| 1.6887 | 37.5 | 300 | 0.9730 | 0.7020 | |
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| 1.1178 | 43.75 | 350 | 0.8971 | 0.6323 | |
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| 0.9512 | 50.0 | 400 | 0.9040 | 0.5960 | |
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| 0.7696 | 56.25 | 450 | 0.9232 | 0.5713 | |
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| 0.7348 | 62.5 | 500 | 0.9203 | 0.5412 | |
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| 0.9312 | 68.75 | 550 | 0.9673 | 0.5376 | |
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| 0.6519 | 75.0 | 600 | 0.9269 | 0.5262 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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