---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Models
  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. -->

# Models

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.1065
- Rouge2: 0.0421
- Rougel: 0.0844
- Rougelsum: 0.0844
- Gen Len: 16.6846

## 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: 4e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0           | 0.1120 | 100  | nan             | 0.1065 | 0.0421 | 0.0844 | 0.0844    | 16.6846 |
| 0.0           | 0.2240 | 200  | nan             | 0.1065 | 0.0421 | 0.0844 | 0.0844    | 16.6846 |
| 0.0           | 0.3359 | 300  | nan             | 0.1065 | 0.0421 | 0.0844 | 0.0844    | 16.6846 |
| 0.0           | 0.4479 | 400  | nan             | 0.1065 | 0.0421 | 0.0844 | 0.0844    | 16.6846 |
| 0.0           | 0.5599 | 500  | nan             | 0.1065 | 0.0421 | 0.0844 | 0.0844    | 16.6846 |
| 0.0           | 0.6719 | 600  | nan             | 0.1065 | 0.0421 | 0.0844 | 0.0844    | 16.6846 |
| 0.0           | 0.7839 | 700  | nan             | 0.1065 | 0.0421 | 0.0844 | 0.0844    | 16.6846 |
| 0.0           | 0.8959 | 800  | nan             | 0.1065 | 0.0421 | 0.0844 | 0.0844    | 16.6846 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1