---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small_twon-debug-generative-agent
  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_twon-debug-generative-agent

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8511
- Rouge1: 9.4574
- Rouge2: 3.2143
- Rougel: 8.6333
- Rougelsum: 8.8052
- Gen Len: 18.99

## 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: 4e-05
- train_batch_size: 24
- eval_batch_size: 24
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 4.2488        | 1.19  | 100  | 3.9027          | 9.2555 | 2.9689 | 8.4655 | 8.5977    | 18.988  |
| 4.0882        | 2.38  | 200  | 3.8511          | 9.4574 | 3.2143 | 8.6333 | 8.8052    | 18.99   |
| 4.021         | 3.57  | 300  | 3.8275          | 9.132  | 3.1204 | 8.3109 | 8.5109    | 18.994  |
| 4.0126        | 4.76  | 400  | 3.8172          | 9.4354 | 3.1824 | 8.5889 | 8.7927    | 18.996  |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3