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

# morbius

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: nan
- Rouge1: 2.1823
- Rouge2: 0.226
- Rougel: 2.1188
- Rougelsum: 2.1216
- Gen Len: 8.9152

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0           | 1.0   | 7626  | nan             | 2.1823 | 0.226  | 2.1188 | 2.1216    | 8.9152  |
| 0.0           | 2.0   | 15252 | nan             | 2.1823 | 0.226  | 2.1188 | 2.1216    | 8.9152  |
| 0.0           | 3.0   | 22878 | nan             | 2.1823 | 0.226  | 2.1188 | 2.1216    | 8.9152  |
| 0.0           | 4.0   | 30504 | nan             | 2.1823 | 0.226  | 2.1188 | 2.1216    | 8.9152  |
| 0.0           | 5.0   | 38130 | nan             | 2.1823 | 0.226  | 2.1188 | 2.1216    | 8.9152  |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3