---
library_name: peft
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
datasets:
- mlsum
metrics:
- rouge
model-index:
- name: t5-small-turkish-summarisation-lora
  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-turkish-summarisation-lora

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the mlsum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0317
- Rouge1: 19.4302
- Rouge2: 13.1054
- Rougel: 18.7905
- Rougelsum: 18.8397
- Gen Len: 20.0

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.557         | 1.0   | 624  | 2.1852          | 18.4642 | 11.9852 | 17.839  | 18.0458   | 20.0    |
| 2.364         | 2.0   | 1248 | 2.1269          | 19.6197 | 13.135  | 18.9274 | 19.0553   | 19.9913 |
| 2.3235        | 3.0   | 1872 | 2.0928          | 19.5088 | 13.2191 | 18.8665 | 18.9558   | 20.0    |
| 2.3002        | 4.0   | 2496 | 2.0669          | 19.2649 | 12.9427 | 18.6374 | 18.6937   | 20.0    |
| 2.2803        | 5.0   | 3120 | 2.0542          | 19.427  | 13.1022 | 18.7882 | 18.8376   | 20.0    |
| 2.2731        | 6.0   | 3744 | 2.0412          | 19.4496 | 13.1266 | 18.8102 | 18.8668   | 20.0    |
| 2.2655        | 7.0   | 4368 | 2.0338          | 19.4302 | 13.1054 | 18.7905 | 18.8397   | 20.0    |
| 2.2611        | 8.0   | 4992 | 2.0323          | 19.4302 | 13.1054 | 18.7905 | 18.8397   | 20.0    |
| 2.2584        | 9.0   | 5616 | 2.0321          | 19.4302 | 13.1054 | 18.7905 | 18.8397   | 20.0    |
| 2.2533        | 10.0  | 6240 | 2.0317          | 19.4302 | 13.1054 | 18.7905 | 18.8397   | 20.0    |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.0
- Pytorch 2.2.2
- Datasets 3.2.0
- Tokenizers 0.21.0