---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: t5-base
model-index:
- name: t5-base_PrefixTuning_lr5e-05_bs2_epoch1_wd0.01
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-base_PrefixTuning_lr5e-05_bs2_epoch1_wd0.01

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6029

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6424        | 1.0   | 314  | 0.6029          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0