---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-asap_t3_f4_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_t3_f4_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: 0.0608
- Rouge1: 82.8313
- Rouge2: 78.4206
- Rougel: 82.8099
- Rougelsum: 82.8613
- Gen Len: 12.0348

## 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   | 259  | 0.0835          | 79.9299 | 74.5797 | 79.9059 | 79.9231   | 12.0014 |
| 0.4025        | 2.0   | 518  | 0.0650          | 82.5527 | 78.0538 | 82.5428 | 82.5779   | 12.0362 |
| 0.4025        | 3.0   | 777  | 0.0691          | 81.7292 | 76.9481 | 81.6638 | 81.7225   | 12.0348 |
| 0.0755        | 4.0   | 1036 | 0.0603          | 82.7227 | 78.3165 | 82.7288 | 82.7698   | 12.0435 |
| 0.0755        | 5.0   | 1295 | 0.0608          | 82.8313 | 78.4206 | 82.8099 | 82.8613   | 12.0348 |


### Framework versions

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