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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: summeraiztion_t5base_en_to_kjven
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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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# summeraiztion_t5base_en_to_kjven
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7702
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- Bleu: 23.612
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- Gen Len: 18.1576
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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: 32
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- eval_batch_size: 32
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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: 10
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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 | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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| 1.0705 | 1.0 | 2860 | 0.9540 | 21.4263 | 18.131 |
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| 0.9753 | 2.0 | 5720 | 0.8850 | 22.278 | 18.1371 |
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| 0.9191 | 3.0 | 8580 | 0.8482 | 22.6985 | 18.1433 |
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| 0.8845 | 4.0 | 11440 | 0.8207 | 23.0513 | 18.146 |
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| 0.8654 | 5.0 | 14300 | 0.8015 | 23.2476 | 18.1499 |
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| 0.8443 | 6.0 | 17160 | 0.7891 | 23.4193 | 18.1525 |
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| 0.8175 | 7.0 | 20020 | 0.7820 | 23.5084 | 18.1548 |
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| 0.8192 | 8.0 | 22880 | 0.7741 | 23.538 | 18.1576 |
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| 0.8077 | 9.0 | 25740 | 0.7712 | 23.5967 | 18.1572 |
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| 0.8096 | 10.0 | 28600 | 0.7702 | 23.612 | 18.1576 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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