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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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model-index:
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- name: results
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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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# results
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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: 0.2057
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- Rouge2 Precision: 0.3564
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- Rouge2 Recall: 0.2124
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- Rouge2 Fmeasure: 0.256
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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: 5e-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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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| No log | 1.0 | 240 | 0.3146 | 0.2121 | 0.1134 | 0.1424 |
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| No log | 2.0 | 480 | 0.2444 | 0.2855 | 0.1519 | 0.19 |
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| 0.6451 | 3.0 | 720 | 0.2195 | 0.3225 | 0.1821 | 0.223 |
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| 0.6451 | 4.0 | 960 | 0.2078 | 0.355 | 0.2113 | 0.2548 |
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| 0.2978 | 5.0 | 1200 | 0.2057 | 0.3564 | 0.2124 | 0.256 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.12.1+cpu
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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