---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: AathifMohammed/t5baseflan
model-index:
- name: LegalAbstractiveSummarization
  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. -->

# LegalAbstractiveSummarization

This model is a fine-tuned version of [AathifMohammed/t5baseflan](https://huggingface.co/AathifMohammed/t5baseflan) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3803
- Rouge1: 47.7228
- Rouge2: 21.5558
- Rougel: 28.288
- Rougelsum: 43.2466
- Gen Len: 278.26

## 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: 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 125  | 2.3840          | 47.6864 | 21.5113 | 28.2396 | 43.1664   | 276.951 |
| No log        | 2.0   | 250  | 2.3803          | 47.7228 | 21.5558 | 28.288  | 43.2466   | 278.26  |


### 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