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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: t5-small-finetuned-policy
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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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# t5-small-finetuned-policy
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4306
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- Rouge1: 19.5603
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- Rouge2: 13.5761
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- Rougel: 17.9728
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- Rougelsum: 18.3608
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- Gen Len: 18.9529
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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: 8
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- eval_batch_size: 8
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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: 4
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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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| 1.7469 | 1.0 | 1400 | 1.5070 | 18.8697 | 12.8892 | 17.2714 | 17.6566 | 18.9629 |
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| 1.6541 | 2.0 | 2800 | 1.4598 | 19.388 | 13.4242 | 17.7886 | 18.1717 | 18.9579 |
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| 1.6321 | 3.0 | 4200 | 1.4420 | 19.5153 | 13.5437 | 17.9251 | 18.3107 | 18.955 |
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| 1.604 | 4.0 | 5600 | 1.4306 | 19.5603 | 13.5761 | 17.9728 | 18.3608 | 18.9529 |
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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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