---
library_name: peft
license: apache-2.0
base_model: google/flan-t5-base
tags:
- base_model:adapter:google/flan-t5-base
- lora
- transformers
metrics:
- rouge
model-index:
- name: Pakistan-Legal-ChatBot
  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. -->

# Pakistan-Legal-ChatBot

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.2365
- Rouge2: 0.0907
- Rougel: 0.1905
- Rougelsum: 0.1906

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 245  | nan             | 0.2365 | 0.0907 | 0.1905 | 0.1906    |
| No log        | 2.0   | 490  | nan             | 0.2365 | 0.0907 | 0.1905 | 0.1906    |
| 0.0           | 3.0   | 735  | nan             | 0.2365 | 0.0907 | 0.1905 | 0.1906    |
| 0.0           | 4.0   | 980  | nan             | 0.2365 | 0.0907 | 0.1905 | 0.1906    |
| 0.0           | 5.0   | 1225 | nan             | 0.2365 | 0.0907 | 0.1905 | 0.1906    |


### Framework versions

- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2