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zeon8985army/IndonesiaLukasLargeV3_higherLR
This model is a fine-tuned version of zeon8985army/IndonesiaLukasLargeV3_higherLR on the Mozilla & GoogleFleur dataset. It achieves the following results on the evaluation set:
- Loss: 0.1587
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.389 | 0.2907 | 100 | 0.2098 |
0.1724 | 0.5814 | 200 | 0.1748 |
0.147 | 0.8721 | 300 | 0.1587 |
Framework versions
- PEFT 0.9.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for zeon8985army/IndonesiaLukasLargeV3_1
Base model
openai/whisper-large-v3