transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-finetuned-xsum
  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-small-finetuned-xsum

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 1.2294
- Rouge2: 0.0439
- Rougel: 1.149
- Rougelsum: 1.1538
- Gen Len: 14.526

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0           | 1.0   | 625  | nan             | 1.2294 | 0.0439 | 1.149  | 1.1538    | 14.526  |
| 0.0           | 2.0   | 1250 | nan             | 1.2294 | 0.0439 | 1.149  | 1.1538    | 14.526  |
| 0.0           | 3.0   | 1875 | nan             | 1.2294 | 0.0439 | 1.149  | 1.1538    | 14.526  |
| 0.0           | 4.0   | 2500 | nan             | 1.2294 | 0.0439 | 1.149  | 1.1538    | 14.526  |
| 0.0           | 5.0   | 3125 | nan             | 1.2294 | 0.0439 | 1.149  | 1.1538    | 14.526  |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.1
