---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- sacrebleu
- rouge
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6732
- Sacrebleu: 67.4689
- Rouge1: 0.8572
- Rouge2: 0.7151
- Rougel: 0.8458

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Sacrebleu | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:------:|
| 0.7358        | 1.0   | 15250 | 0.6963          | 67.0067   | 0.8550 | 0.7105 | 0.8436 |
| 0.7441        | 2.0   | 30500 | 0.6810          | 67.2301   | 0.8560 | 0.7127 | 0.8446 |
| 0.7191        | 3.0   | 45750 | 0.6766          | 67.3703   | 0.8566 | 0.7139 | 0.8452 |
| 0.7033        | 4.0   | 61000 | 0.6755          | 67.4235   | 0.8570 | 0.7148 | 0.8457 |
| 0.7165        | 5.0   | 76250 | 0.6732          | 67.4689   | 0.8572 | 0.7151 | 0.8458 |


### Framework versions

- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0