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

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: 2.0883
- Rouge1: 0.3665
- Rouge2: 0.0826
- Rougel: 0.3524
- Bertscore: 0.8322
- Readability: 8.6631

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Bertscore | Readability |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-----------:|
| 2.1756        | 1.0   | 544  | 2.1228          | 0.3665 | 0.0834 | 0.3529 | 0.8339    | 8.6929      |
| 2.1907        | 2.0   | 1088 | 2.0947          | 0.3545 | 0.0804 | 0.3418 | 0.8290    | 8.5141      |
| 2.1566        | 3.0   | 1632 | 2.0883          | 0.3665 | 0.0826 | 0.3524 | 0.8322    | 8.6631      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.2.1
- Datasets 2.19.0
- Tokenizers 0.15.2