---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
- f1
base_model: google/flan-t5-base
model-index:
- name: flan-t5-small-esnli-lora
  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. -->

# flan-t5-small-esnli-lora

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: 1.6258
- Rouge1: 0.6257
- Rouge2: 0.4156
- Rougel: 0.5682
- F1: 0.8850

## 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: 0.001
- 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: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
| 1.1793        | 0.25  | 8584  | 1.7215          | 0.6161 | 0.4037 | 0.5577 | 0.8738 |
| 1.1408        | 0.5   | 17168 | 1.6903          | 0.6194 | 0.4096 | 0.5615 | 0.8730 |
| 1.1122        | 0.75  | 25752 | 1.6155          | 0.6267 | 0.4179 | 0.5693 | 0.8832 |
| 1.0929        | 1.0   | 34336 | 1.6258          | 0.6257 | 0.4156 | 0.5682 | 0.8850 |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.17.1
- Tokenizers 0.15.1