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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: normal_en_to_poe_translator
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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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# normal_en_to_poe_translator
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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: 1.0203
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- Bleu: 17.4122
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- Gen Len: 16.9451
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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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| 1.3708 | 1.0 | 1182 | 1.2112 | 16.0712 | 16.9251 |
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| 1.2776 | 2.0 | 2364 | 1.1458 | 16.5284 | 16.9233 |
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| 1.2014 | 3.0 | 3546 | 1.1060 | 16.7928 | 16.9259 |
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| 1.1637 | 4.0 | 4728 | 1.0783 | 16.9978 | 16.9317 |
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| 1.1436 | 5.0 | 5910 | 1.0587 | 17.131 | 16.936 |
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| 1.109 | 6.0 | 7092 | 1.0427 | 17.2265 | 16.9386 |
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| 1.0912 | 7.0 | 8274 | 1.0324 | 17.2943 | 16.938 |
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| 1.0751 | 8.0 | 9456 | 1.0257 | 17.3605 | 16.9432 |
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| 1.0642 | 9.0 | 10638 | 1.0216 | 17.395 | 16.9426 |
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| 1.0567 | 10.0 | 11820 | 1.0203 | 17.4122 | 16.9451 |
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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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