t5-small-ENG2BASH-custom-v1

alexsha/t5-small-ENG2BASH-custom-v1

t5-small-ENG2BASH-custom-v1 is a machine learning model from alexsha. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

18% of all-time downloads

All-time downloads

Public

Repo size

969 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin242 MB · 99%

At a glance

Library: transformers
Model type: t5
Access: Public
Created: Feb 21, 2023
Updated: Feb 21, 2023
SHA: 24870f83

Model card

From the Hugging Face model README

t5-small-ENG2BASH-custom-v1

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3310
Bleu: 70.3128
Gen Len: 6.9231

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: 0.0002
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	63	0.8398	27.5197	7.359
No log	2.0	126	0.6711	41.7615	7.5385
No log	3.0	189	0.5641	48.7739	7.4872
No log	4.0	252	0.4450	64.3927	7.5641
No log	5.0	315	0.4014	57.3713	7.4359
No log	6.0	378	0.3782	70.692	7.1795
No log	7.0	441	0.3501	72.8414	7.2051
0.5299	8.0	504	0.3378	68.7268	7.0769
0.5299	9.0	567	0.3361	70.3128	6.9231
0.5299	10.0	630	0.3310	70.3128	6.9231

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1
Datasets 2.9.0
Tokenizers 0.13.2

Library: transformers
Type: t5
Created: Feb 21, 2023
Updated: Feb 21, 2023