---
base_model: ToirovSadi/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: t5-small
  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

This model is a fine-tuned version of [ToirovSadi/t5-small](https://huggingface.co/ToirovSadi/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5871
- Rouge1: 61.1404
- Rouge2: 37.8854
- Rougel: 59.2953
- Rougelsum: 59.3081
- Bleu: 0.2843

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu   |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|
| 1.7433        | 0.99  | 70000  | 1.6000          | 60.9802 | 37.6872 | 59.1561 | 59.1644   | 0.2821 |
| 1.7216        | 1.97  | 140000 | 1.5905          | 61.1241 | 37.8722 | 59.2878 | 59.2991   | 0.2839 |
| 1.7389        | 2.96  | 210000 | 1.5871          | 61.1404 | 37.8854 | 59.2953 | 59.3081   | 0.2843 |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.13.0+cu117
- Datasets 2.16.0
- Tokenizers 0.15.0