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---
license: apache-2.0
base_model: t5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-cnn-news
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-finetuned-cnn-news
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8421
- Rouge1: 24.3896
- Rouge2: 12.1278
- Rougel: 20.4284
- Rougelsum: 23.1568
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.00056
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.0267 | 1.0 | 718 | 1.8134 | 24.5126 | 12.0487 | 20.3865 | 23.2129 |
| 1.8289 | 2.0 | 1436 | 1.8150 | 24.4837 | 12.142 | 20.5671 | 23.3283 |
| 1.6833 | 3.0 | 2154 | 1.8148 | 23.9291 | 11.7959 | 20.0136 | 22.7257 |
| 1.576 | 4.0 | 2872 | 1.8271 | 24.2228 | 11.8815 | 20.2007 | 22.9745 |
| 1.4965 | 5.0 | 3590 | 1.8421 | 24.3896 | 12.1278 | 20.4284 | 23.1568 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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