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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization
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. -->
# summarization
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: 2.5596
- Rouge1: 0.2002
- Rouge2: 0.0988
- Rougel: 0.1673
- Rougelsum: 0.1672
- Gen Len: 19.0
## 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: 2e-05
- 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: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 124 | 2.6496 | 0.1597 | 0.0618 | 0.1338 | 0.1337 | 19.0 |
| No log | 2.0 | 248 | 2.5953 | 0.1968 | 0.0946 | 0.1651 | 0.1653 | 19.0 |
| No log | 3.0 | 372 | 2.5667 | 0.2006 | 0.0989 | 0.1678 | 0.1677 | 19.0 |
| No log | 4.0 | 496 | 2.5596 | 0.2002 | 0.0988 | 0.1673 | 0.1672 | 19.0 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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