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update model card README.md
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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-replycomments-finetuned-xsum
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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-replycomments-finetuned-xsum
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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: 4.0092
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- Rouge1: 4.2177
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- Rouge2: 0.0
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- Rougel: 4.1508
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- Rougelsum: 3.9608
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- Gen Len: 18.2222
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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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### 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 | 7 | 5.5935 | 5.4081 | 1.8349 | 5.3241 | 5.0949 | 16.3333 |
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| No log | 2.0 | 14 | 4.3785 | 6.0943 | 1.8349 | 5.7682 | 5.7452 | 18.2222 |
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| No log | 3.0 | 21 | 4.1468 | 4.2177 | 0.0 | 4.1508 | 3.9608 | 18.2222 |
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| No log | 4.0 | 28 | 4.0462 | 4.2177 | 0.0 | 4.1508 | 3.9608 | 18.2222 |
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| No log | 5.0 | 35 | 4.0092 | 4.2177 | 0.0 | 4.1508 | 3.9608 | 18.2222 |
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### Framework versions
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- Transformers 4.30.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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