DistilFT-Frisian-1h
This model is a fine-tuned version of distil-small.en on the mozilla-foundation/common_voice_6_fy_NL dataset. It achieves the following results on the evaluation set:
- Loss: 2.0756
- Wer: 77.8613
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.2753 | 5.6180 | 500 | 2.6854 | 87.9023 |
| 1.5355 | 11.2360 | 1000 | 2.2463 | 81.0515 |
| 1.201 | 16.8539 | 1500 | 2.1075 | 78.7239 |
| 1.0818 | 22.4719 | 2000 | 2.0756 | 77.8613 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Dataset used to train Pageee/DistilFT-Frisian-1ha
Evaluation results
- Wer on mozilla-foundation/common_voice_6_fy_NLself-reported77.861