---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: Falconsai/text_summarization
model-index:
- name: model
  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. -->

# model

This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2990
- Rouge1: 0.1186
- Rouge2: 0.0198
- Rougel: 0.094
- Rougelsum: 0.094
- Gen Len: 19.9958

## 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: 2e-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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.896         | 1.0   | 600  | 3.3871          | 0.1105 | 0.0171 | 0.0874 | 0.0874    | 20.0    |
| 3.6922        | 2.0   | 1200 | 3.3257          | 0.116  | 0.0196 | 0.0921 | 0.0921    | 20.0    |
| 3.6451        | 3.0   | 1800 | 3.3037          | 0.1189 | 0.0203 | 0.0947 | 0.0947    | 19.9972 |
| 3.6179        | 4.0   | 2400 | 3.2990          | 0.1186 | 0.0198 | 0.094  | 0.094     | 19.9958 |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2