---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-carvia_nlc2cmd_ver2
  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-carvia_nlc2cmd_ver2

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: 0.1225
- Rouge1: 83.9262
- Rouge2: 59.9956
- Rougel: 83.9262
- Rougelsum: 83.9381
- Gen Len: 19.0

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.1152        | 1.0   | 1625 | 0.1225          | 83.9262 | 59.9956 | 83.9262 | 83.9381   | 19.0    |
| 0.1126        | 2.0   | 3250 | 0.1560          | 79.3619 | 51.4444 | 79.3857 | 79.3357   | 19.0    |
| 0.1083        | 3.0   | 4875 | 0.1682          | 80.4274 | 53.4222 | 80.4655 | 80.4167   | 19.0    |
| 0.1066        | 4.0   | 6500 | 0.1785          | 79.3393 | 51.3667 | 79.3524 | 79.2964   | 19.0    |
| 0.1079        | 5.0   | 8125 | 0.1793          | 79.3119 | 51.3222 | 79.3357 | 79.2833   | 19.0    |


### Framework versions

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