---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-small-finetuned-English-to-BASH
  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-English-to-BASH

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: 1.7624
- Bleu: 15.8119
- Gen Len: 7.75

## 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: 2e-05
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 36   | 2.4759          | 9.4129  | 12.8472 |
| No log        | 2.0   | 72   | 2.2581          | 14.8612 | 9.7639  |
| No log        | 3.0   | 108  | 2.0998          | 16.1955 | 8.7222  |
| No log        | 4.0   | 144  | 1.9945          | 14.576  | 8.4444  |
| No log        | 5.0   | 180  | 1.9181          | 15.4464 | 8.1806  |
| No log        | 6.0   | 216  | 1.8639          | 14.7446 | 7.9028  |
| No log        | 7.0   | 252  | 1.8185          | 14.5825 | 8.0833  |
| No log        | 8.0   | 288  | 1.7867          | 14.9773 | 7.9444  |
| No log        | 9.0   | 324  | 1.7679          | 15.8119 | 7.75    |
| No log        | 10.0  | 360  | 1.7624          | 15.8119 | 7.75    |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2