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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-xsum_epoch4
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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-xsum_epoch4
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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: 2.4245
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- Rouge1: 29.5204
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- Rouge2: 8.4931
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- Rougel: 22.9705
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- Rougelsum: 23.0872
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- Gen Len: 18.8221
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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: 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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| 2.7175 | 1.0 | 7620 | 2.4899 | 28.585 | 7.7626 | 22.1314 | 22.2424 | 18.8174 |
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| 2.6605 | 2.0 | 15240 | 2.4486 | 29.2362 | 8.2481 | 22.7049 | 22.8227 | 18.8273 |
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| 2.6368 | 3.0 | 22860 | 2.4303 | 29.4228 | 8.4312 | 22.8991 | 23.0192 | 18.8262 |
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| 2.6284 | 4.0 | 30480 | 2.4245 | 29.5204 | 8.4931 | 22.9705 | 23.0872 | 18.8221 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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