---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: t5-base
model-index:
- name: T5-lora-legalease
  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-lora-legalease

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: 1.1673

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.18  | 250  | 1.3037          |
| 1.6713        | 0.35  | 500  | 1.2525          |
| 1.6713        | 0.53  | 750  | 1.2217          |
| 1.3129        | 0.71  | 1000 | 1.2068          |
| 1.3129        | 0.89  | 1250 | 1.1978          |
| 1.292         | 1.06  | 1500 | 1.1856          |
| 1.292         | 1.24  | 1750 | 1.1794          |
| 1.253         | 1.42  | 2000 | 1.1769          |
| 1.253         | 1.6   | 2250 | 1.1725          |
| 1.2529        | 1.77  | 2500 | 1.1693          |
| 1.2529        | 1.95  | 2750 | 1.1673          |


### Framework versions

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