---
library_name: peft
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: Summarization
  results: []
datasets:
- abisee/cnn_dailymail
language:
- en
metrics:
- rouge
- bleu
---




<!-- 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: 1.1039

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.362         | 0.2229 | 500  | 1.4059          |
| 1.3409        | 0.4458 | 1000 | 1.1536          |
| 1.1552        | 0.6687 | 1500 | 1.1228          |
| 1.1308        | 0.8916 | 2000 | 1.1134          |
| 1.1192        | 1.1141 | 2500 | 1.1088          |
| 1.1165        | 1.3370 | 3000 | 1.1061          |
| 1.1147        | 1.5599 | 3500 | 1.1046          |
| 1.1151        | 1.7828 | 4000 | 1.1039          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0