---
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
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# 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: 0.9899
- Nl2bash M: 0.6953
- Gen Len: 13.0909

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Nl2bash M | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
| No log        | 1.0   | 121  | 1.3618          | 0.4686    | 12.2562 |
| No log        | 2.0   | 242  | 1.1341          | 0.6049    | 12.8967 |
| No log        | 3.0   | 363  | 1.0489          | 0.6468    | 13.0909 |
| No log        | 4.0   | 484  | 1.0048          | 0.684     | 13.0661 |
| 1.3783        | 5.0   | 605  | 0.9899          | 0.6953    | 13.0909 |


### Framework versions

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