---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-fleece2instructions-r1
  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-fleece2instructions-r1

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: 1.3401
- Rouge1: 52.201
- Rouge2: 35.6154
- Rougel: 50.2334
- Rougelsum: 50.338
- Gen Len: 14.0450

## 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: 8e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 2.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.6161        | 1.0   | 181  | 1.3714          | 51.1003 | 34.5701 | 49.1277 | 49.2466   | 13.8357 |
| 1.539         | 2.0   | 362  | 1.3401          | 52.201  | 35.6154 | 50.2334 | 50.338    | 14.0450 |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 2.0.0.dev20230212+cu118
- Datasets 2.9.0
- Tokenizers 0.13.2