---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: google-t5/t5-base
model-index:
- name: t5-base-v2
  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-base-v2

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: 2.1406
- Rouge1: 26.0593
- Rouge2: 8.3440
- Rougel: 18.7623
- Rougelsum: 18.7644

## 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: 4e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 7
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 2.3035        | 0.6   | 200  | 1.9551          | 26.5313 | 8.5854 | 18.5427 | 18.5364   |
| 2.235         | 1.19  | 400  | 2.0039          | 26.6457 | 8.8987 | 18.9702 | 18.9660   |
| 2.3213        | 1.79  | 600  | 2.0703          | 26.3265 | 8.6686 | 18.8473 | 18.8465   |
| 2.3909        | 2.39  | 800  | 2.1191          | 25.8424 | 8.3369 | 18.6260 | 18.6392   |
| 2.4381        | 2.99  | 1000 | 2.1406          | 26.0593 | 8.3440 | 18.7623 | 18.7644   |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2