---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-quaso-gen2.3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flan-t5-base-quaso-gen2.3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6874
- Rouge1: 0.3710
- Rouge2: 0.1425
- Rougel: 0.3003
- Rougelsum: 0.3523
- Gen Len: 43.495

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.8222        | 1.0   | 4577  | 1.7155          | 0.3564 | 0.1316 | 0.2876 | 0.3391    | 36.4483 |
| 1.7824        | 2.0   | 9154  | 1.6988          | 0.3668 | 0.1389 | 0.2958 | 0.3478    | 43.8517 |
| 1.7382        | 3.0   | 13731 | 1.6921          | 0.3670 | 0.1389 | 0.2973 | 0.3485    | 40.3283 |
| 1.7036        | 4.0   | 18308 | 1.6887          | 0.3733 | 0.1422 | 0.3009 | 0.3537    | 42.035  |
| 1.6779        | 5.0   | 22885 | 1.6874          | 0.3710 | 0.1425 | 0.3003 | 0.3523    | 43.495  |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1