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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: cluster_to_text_t5_base
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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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# cluster_to_text_t5_base
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4653
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- Bleu: 66.2251
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- Gen Len: 9.2028
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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: 16
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- eval_batch_size: 16
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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: 6
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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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| 1.542 | 1.0 | 3964 | 1.1583 | 26.2658 | 9.3137 |
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| 1.0563 | 2.0 | 7928 | 0.7809 | 46.4766 | 9.1855 |
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| 0.8165 | 3.0 | 11892 | 0.6044 | 57.0741 | 9.1809 |
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| 0.7165 | 4.0 | 15856 | 0.5197 | 62.3771 | 9.2197 |
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| 0.6568 | 5.0 | 19820 | 0.4784 | 65.331 | 9.1905 |
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| 0.6231 | 6.0 | 23784 | 0.4653 | 66.2251 | 9.2028 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.0
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- Tokenizers 0.13.3
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