---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-booksum
  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-booksum

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: 3.3114
- Rouge1: 13.4323
- Rouge2: 2.5384
- Rougel: 10.3894
- Rougelsum: 12.3641
- Gen Len: 18.9838

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.5251        | 1.0   | 600  | 3.3437          | 13.1074 | 2.3866 | 10.2062 | 12.0447   | 18.9879 |
| 3.4929        | 2.0   | 1200 | 3.3240          | 13.3594 | 2.4474 | 10.2984 | 12.3059   | 18.9717 |
| 3.4717        | 3.0   | 1800 | 3.3144          | 13.3894 | 2.5074 | 10.3539 | 12.3039   | 18.9838 |
| 3.453         | 4.0   | 2400 | 3.3114          | 13.4323 | 2.5384 | 10.3894 | 12.3641   | 18.9838 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1