metadata
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: []
Pakistan-Legal-ChatBot
This model is a fine-tuned version of 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