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--- |
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license: apache-2.0 |
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base_model: t5-small |
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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 [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.1131 |
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- Rouge1: 0.0507 |
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- Rouge2: 0.0123 |
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- Rougel: 0.0494 |
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- Rougelsum: 0.0492 |
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- Gen Len: 19.0 |
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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: 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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| 5.9823 | 1.0 | 600 | 5.3762 | 0.0259 | 0.0043 | 0.025 | 0.0248 | 19.0 | |
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| 5.5041 | 2.0 | 1200 | 5.2242 | 0.0356 | 0.0089 | 0.0352 | 0.0353 | 19.0 | |
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| 5.4129 | 3.0 | 1800 | 5.1601 | 0.0469 | 0.0104 | 0.0457 | 0.0457 | 19.0 | |
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| 5.3062 | 4.0 | 2400 | 5.1225 | 0.049 | 0.0119 | 0.0476 | 0.0475 | 19.0 | |
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| 5.2787 | 5.0 | 3000 | 5.1131 | 0.0507 | 0.0123 | 0.0494 | 0.0492 | 19.0 | |
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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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