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-TESTING
  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-TESTING

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8834
- Rouge1: 0.3922
- Rouge2: 0.0
- Rougel: 0.3922
- Rougelsum: 0.3922
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 1    | 3.0370          | 0.3922 | 0.0    | 0.3922 | 0.3922    | 19.0    |
| No log        | 2.0   | 2    | 2.9721          | 0.3922 | 0.0    | 0.3922 | 0.3922    | 19.0    |
| No log        | 3.0   | 3    | 2.9263          | 0.3922 | 0.0    | 0.3922 | 0.3922    | 19.0    |
| No log        | 4.0   | 4    | 2.8977          | 0.3922 | 0.0    | 0.3922 | 0.3922    | 19.0    |
| No log        | 5.0   | 5    | 2.8834          | 0.3922 | 0.0    | 0.3922 | 0.3922    | 19.0    |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2+cpu
- Datasets 2.16.1
- Tokenizers 0.15.1
