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End of training

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README.md ADDED
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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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+
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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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+
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+ # T5-Small-Sinhala-Sumarization-test3
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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