---
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_t5_model
  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. -->

# my_t5_model

This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4436
- Rouge1: 0.6818
- Rouge2: 0.5255
- Rougel: 0.6496
- Rougelsum: 0.6495
- Gen Len: 15.0861

## 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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.4551        | 1.0   | 2185 | 0.4677          | 0.6934 | 0.5395 | 0.6603 | 0.6603    | 15.1588 |
| 0.4895        | 2.0   | 4370 | 0.4355          | 0.6966 | 0.5463 | 0.6658 | 0.6657    | 15.1563 |
| 0.4915        | 3.0   | 6555 | 0.4436          | 0.6818 | 0.5254 | 0.6496 | 0.6496    | 15.0864 |
| 0.4911        | 4.0   | 8740 | 0.4436          | 0.6818 | 0.5255 | 0.6496 | 0.6495    | 15.0861 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1