---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: google-t5/t5-base
model-index:
- name: fakeqlort5
  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. -->

# fakeqlort5

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: 2.3242
- Rouge1: 43.7262
- Rouge2: 20.7658
- Rougel: 26.8096
- Rougelsum: 39.9061
- Gen Len: 292.984

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.6036        | 1.0   | 1000 | 2.3242          | 43.7262 | 20.7658 | 26.8096 | 39.9061   | 292.984 |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2