---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-asap_t5_f2_prompt_adherence
  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-asap_t5_f2_prompt_adherence

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: 0.0615
- Rouge1: 80.7114
- Rouge2: 75.8121
- Rougel: 80.7571
- Rougelsum: 80.7981
- Gen Len: 12.0402

## 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   | 271  | 0.0966          | 76.5493 | 69.7036 | 76.5316 | 76.5317   | 12.0055 |
| 0.4737        | 2.0   | 542  | 0.0724          | 79.7463 | 74.3566 | 79.7676 | 79.7403   | 12.0319 |
| 0.4737        | 3.0   | 813  | 0.0658          | 80.0516 | 74.841  | 80.0495 | 80.0296   | 12.0291 |
| 0.0868        | 4.0   | 1084 | 0.0615          | 80.5625 | 75.5964 | 80.5884 | 80.5837   | 12.0332 |
| 0.0868        | 5.0   | 1355 | 0.0615          | 80.7114 | 75.8121 | 80.7571 | 80.7981   | 12.0402 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2