---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-quaso-gen5
  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-quaso-gen5

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5372
- Rouge1: 0.3997
- Rouge2: 0.1592
- Rougel: 0.3248
- Rougelsum: 0.3810
- Gen Len: 42.046

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.7045        | 1.0   | 34324  | 1.5575          | 0.3936 | 0.1547 | 0.3183 | 0.3749    | 42.0369 |
| 1.6563        | 2.0   | 68648  | 1.5509          | 0.3975 | 0.1561 | 0.3225 | 0.3789    | 42.1242 |
| 1.6622        | 3.0   | 102972 | 1.5440          | 0.3947 | 0.1575 | 0.3210 | 0.3763    | 41.7531 |
| 1.638         | 4.0   | 137296 | 1.5393          | 0.3969 | 0.1575 | 0.3224 | 0.3785    | 41.8038 |
| 1.6222        | 5.0   | 171620 | 1.5372          | 0.3997 | 0.1592 | 0.3248 | 0.3810    | 42.046  |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1