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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: GSOCt5-small-finetuned-t5_V2
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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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# GSOCt5-small-finetuned-t5_V2
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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: 0.6585
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- Rouge1: 35.6178
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- Rouge2: 26.3831
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- Rougel: 33.0833
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- Rougelsum: 34.2411
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- Gen Len: 18.9393
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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: 0.0002
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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: 2
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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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| 0.8214 | 1.0 | 631 | 0.6848 | 35.363 | 26.0631 | 32.7693 | 33.9591 | 18.9571 |
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| 0.6835 | 2.0 | 1262 | 0.6585 | 35.6178 | 26.3831 | 33.0833 | 34.2411 | 18.9393 |
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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 2.13.1
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- Tokenizers 0.13.3
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