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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: sinhala-roman-transformer |
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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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# sinhala-roman-transformer |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0001 |
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- Rouge2 Precision: 0.0 |
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- Rouge2 Recall: 0.0 |
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- Rouge2 Fmeasure: 0.0 |
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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: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 2000 |
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- training_steps: 40000 |
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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 | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure | |
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|:-------------:|:-------:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:| |
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| 0.0007 | 5.1440 | 7500 | 0.0002 | 0.0 | 0.0 | 0.0 | |
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| 0.0 | 10.2881 | 15000 | 0.0000 | 0.0 | 0.0 | 0.0 | |
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| 0.0 | 15.4321 | 22500 | 0.0000 | 0.0 | 0.0 | 0.0 | |
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| 0.0 | 20.5761 | 30000 | 0.0000 | 0.0 | 0.0 | 0.0 | |
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| 0.0 | 25.7202 | 37500 | 0.0001 | 0.0 | 0.0 | 0.0 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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