---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-large-finetuned-NL2BASH-customv3
  results: []
---

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# t5-large-finetuned-NL2BASH-customv3

This model is a fine-tuned version of [alexsha/t5-large-finetuned-English-to-BASH](https://huggingface.co/alexsha/t5-large-finetuned-English-to-BASH) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7159
- Nl2bash M: 0.8822
- Gen Len: 13.4256

## 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: 3e-05
- train_batch_size: 5
- eval_batch_size: 5
- 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   | 387  | 0.7666          | 0.8897    | 13.2314 |
| 0.0177        | 2.0   | 774  | 0.7878          | 0.887     | 13.3512 |
| 0.0188        | 3.0   | 1161 | 0.7580          | 0.8872    | 13.5661 |
| 0.0461        | 4.0   | 1548 | 0.7121          | 0.8846    | 13.3926 |
| 0.0461        | 5.0   | 1935 | 0.7159          | 0.8822    | 13.4256 |


### Framework versions

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