---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-asap_t5_f0_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_f0_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: 0.0638
- Rouge1: 79.3921
- Rouge2: 73.8671
- Rougel: 79.4314
- Rougelsum: 79.397
- Gen Len: 12.0319

## 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  | 0.0983          | 76.0693 | 68.9433 | 76.0621 | 76.077    | 12.0    |
| 0.4745        | 2.0   | 542  | 0.0715          | 76.9123 | 70.6854 | 76.9889 | 76.9047   | 12.0083 |
| 0.4745        | 3.0   | 813  | 0.0652          | 78.4337 | 72.7285 | 78.4968 | 78.4136   | 12.0180 |
| 0.0868        | 4.0   | 1084 | 0.0645          | 79.1916 | 73.6922 | 79.2211 | 79.1421   | 12.0277 |
| 0.0868        | 5.0   | 1355 | 0.0638          | 79.3921 | 73.8671 | 79.4314 | 79.397    | 12.0319 |


### Framework versions

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