---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-NL2BASH-customv3
  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. -->

# t5-small-finetuned-NL2BASH-customv3

This model is a fine-tuned version of [kevinum/t5-small-finetuned-English-to-BASH](https://huggingface.co/kevinum/t5-small-finetuned-English-to-BASH) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8142
- Nl2bash M: 0.7744
- Gen Len: 13.0248

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Nl2bash M | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
| No log        | 1.0   | 121  | 1.3408          | 0.4894    | 12.2107 |
| No log        | 2.0   | 242  | 1.0982          | 0.6267    | 13.2562 |
| No log        | 3.0   | 363  | 1.0017          | 0.6973    | 13.0207 |
| No log        | 4.0   | 484  | 0.9301          | 0.7292    | 12.6818 |
| 1.3353        | 5.0   | 605  | 0.8890          | 0.749     | 12.9752 |
| 1.3353        | 6.0   | 726  | 0.8643          | 0.7611    | 12.9711 |
| 1.3353        | 7.0   | 847  | 0.8370          | 0.7749    | 12.8471 |
| 1.3353        | 8.0   | 968  | 0.8265          | 0.7701    | 12.9174 |
| 0.887         | 9.0   | 1089 | 0.8162          | 0.7768    | 13.0289 |
| 0.887         | 10.0  | 1210 | 0.8142          | 0.7744    | 13.0248 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.6.1
- Tokenizers 0.11.0