---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- xsum
model-index:
- name: t5-small-finetuned-xsum
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/thai-nq107-aisolus/huggingface/runs/b6lgwe48)
# t5-small-finetuned-xsum

This model is a fine-tuned version of [t5-small](https://huggingface.co./t5-small) on the xsum dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2350

## 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: 7
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.229         | 0.1001 | 71   | 3.5533          |
| 3.8218        | 0.2003 | 142  | 3.3962          |
| 3.6384        | 0.3004 | 213  | 3.3290          |
| 3.6616        | 0.4006 | 284  | 3.2940          |
| 3.5887        | 0.5007 | 355  | 3.2713          |
| 3.6246        | 0.6008 | 426  | 3.2550          |
| 3.5184        | 0.7010 | 497  | 3.2448          |
| 3.5059        | 0.8011 | 568  | 3.2391          |
| 3.5116        | 0.9013 | 639  | 3.2350          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1