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--- |
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language: |
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- fy |
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base_model: distil-small.en |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_6_1 |
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metrics: |
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- wer |
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model-index: |
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- name: DistilFT-Frisian-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: mozilla-foundation/common_voice_6_fy_NL |
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type: mozilla-foundation/common_voice_6_1 |
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args: 'config: fy-NL, split: train-10m' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 89.3637497772233 |
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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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# DistilFT-Frisian-10m |
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This model is a fine-tuned version of [distil-small.en](https://huggingface.co/distil-small.en) on the mozilla-foundation/common_voice_6_fy_NL dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1946 |
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- Wer: 89.3637 |
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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: 0.0001 |
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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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- 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: 200 |
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- training_steps: 3000 |
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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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| 0.1154 | 33.3333 | 500 | 3.7440 | 105.5534 | |
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| 0.0107 | 66.6667 | 1000 | 4.0814 | 88.1911 | |
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| 0.0 | 100.0 | 1500 | 4.1314 | 90.7432 | |
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| 0.0 | 133.3333 | 2000 | 4.1700 | 89.8663 | |
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| 0.0 | 166.6667 | 2500 | 4.1878 | 89.6061 | |
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| 0.0 | 200.0 | 3000 | 4.1946 | 89.3637 | |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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