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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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- rouge
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model-index:
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- name: first_tldr
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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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# first_tldr
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2734
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- Rouge1: 0.2199
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- Rouge2: 0.1062
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- Rougel: 0.1867
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- Rougelsum: 0.1869
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- Gen Len: 18.8003
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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: 5
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 194 | 2.3676 | 0.2112 | 0.0983 | 0.1783 | 0.1782 | 18.8131 |
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| No log | 2.0 | 388 | 2.3128 | 0.2152 | 0.1022 | 0.182 | 0.1819 | 18.8209 |
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| 2.5218 | 3.0 | 582 | 2.2884 | 0.2185 | 0.1046 | 0.1849 | 0.1849 | 18.8222 |
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| 2.5218 | 4.0 | 776 | 2.2772 | 0.2196 | 0.1062 | 0.1865 | 0.1866 | 18.799 |
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| 2.5218 | 5.0 | 970 | 2.2734 | 0.2199 | 0.1062 | 0.1867 | 0.1869 | 18.8003 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 1.12.1+cu116
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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