---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarize_01
  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. -->

# summarize_01

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: 0.9303
- Rouge1: 0.008
- Rouge2: 0.0
- Rougel: 0.0081
- Rougelsum: 0.0083
- Gen Len: 19.0

## 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: 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 250  | 0.9455          | 0.0024 | 0.0    | 0.0024 | 0.0024    | 19.0    |
| 0.994         | 2.0   | 500  | 0.9342          | 0.0093 | 0.0    | 0.0094 | 0.0096    | 19.0    |
| 0.994         | 3.0   | 750  | 0.9298          | 0.0056 | 0.0    | 0.0056 | 0.0056    | 19.0    |
| 0.9256        | 4.0   | 1000 | 0.9303          | 0.008  | 0.0    | 0.0081 | 0.0083    | 19.0    |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1