---
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: 2.0533
- Rouge1: 16.8601
- Rouge2: 3.5043
- Rougel: 13.0262
- Rougelsum: 15.2504
- 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: 5e-05
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.6071        | 1.0   | 544  | 2.2323          | 16.7606 | 3.2667 | 12.9074 | 15.1681   | 19.0    |
| 2.438         | 2.0   | 1088 | 2.1395          | 16.9106 | 3.3542 | 13.0126 | 15.3345   | 19.0    |
| 2.3649        | 3.0   | 1632 | 2.0900          | 16.9637 | 3.5315 | 13.0919 | 15.3446   | 19.0    |
| 2.3264        | 4.0   | 2176 | 2.0624          | 16.8183 | 3.4983 | 13.0296 | 15.226    | 19.0    |
| 2.292         | 5.0   | 2720 | 2.0533          | 16.8601 | 3.5043 | 13.0262 | 15.2504   | 19.0    |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.19.1