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

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0804
- Rouge1: 21.7575
- Rouge2: 8.5919
- Rougel: 17.3288
- Rougelsum: 20.4481
- Gen Len: 18.8222

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 45   | 2.3869          | 21.4625 | 7.7924 | 16.4408 | 19.7799   | 18.7667 |
| No log        | 2.0   | 90   | 2.3161          | 22.2793 | 8.0559 | 17.0177 | 20.6462   | 18.8444 |
| No log        | 3.0   | 135  | 2.2576          | 21.9986 | 7.8751 | 16.7895 | 20.2286   | 18.6778 |
| No log        | 4.0   | 180  | 2.2061          | 21.9707 | 8.2401 | 16.9102 | 20.2145   | 18.6333 |
| No log        | 5.0   | 225  | 2.1667          | 22.1615 | 8.3056 | 17.0849 | 20.48     | 18.8222 |
| No log        | 6.0   | 270  | 2.1350          | 21.942  | 8.5934 | 17.2273 | 20.4631   | 18.7444 |
| No log        | 7.0   | 315  | 2.1102          | 21.8541 | 8.664  | 17.2851 | 20.4798   | 18.7444 |
| No log        | 8.0   | 360  | 2.0939          | 21.967  | 8.675  | 17.4126 | 20.5475   | 18.8222 |
| No log        | 9.0   | 405  | 2.0841          | 21.824  | 8.6682 | 17.3674 | 20.4822   | 18.8222 |
| No log        | 10.0  | 450  | 2.0804          | 21.7575 | 8.5919 | 17.3288 | 20.4481   | 18.8222 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1