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--- |
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license: apache-2.0 |
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base_model: Malmika/T5-Small-Sinhala-Sumarization |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: T5-Small-Sinhala-Sumarization-test3 |
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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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# T5-Small-Sinhala-Sumarization-test3 |
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This model is a fine-tuned version of [Malmika/T5-Small-Sinhala-Sumarization](https://huggingface.co/Malmika/T5-Small-Sinhala-Sumarization) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0304 |
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- Rouge1: 0.1355 |
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- Rouge2: 0.0618 |
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- Rougel: 0.1354 |
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- Rougelsum: 0.1356 |
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- Gen Len: 17.8198 |
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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: 2e-05 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 0.0959 | 1.0 | 4333 | 0.0560 | 0.1357 | 0.062 | 0.1357 | 0.1358 | 17.8575 | |
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| 0.0531 | 2.0 | 8666 | 0.0367 | 0.1355 | 0.0619 | 0.1355 | 0.1357 | 17.8214 | |
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| 0.0406 | 3.0 | 12999 | 0.0350 | 0.1355 | 0.0619 | 0.1355 | 0.1357 | 17.8213 | |
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| 0.0342 | 4.0 | 17332 | 0.0328 | 0.1355 | 0.0618 | 0.1354 | 0.1356 | 17.8198 | |
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| 0.0323 | 5.0 | 21665 | 0.0304 | 0.1355 | 0.0618 | 0.1354 | 0.1356 | 17.8198 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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