t5-large-finetuned-English-to-BASH-NL2BASH-customv2

alexsha/t5-large-finetuned-English-to-BASH-NL2BASH-customv2

t5-large-finetuned-English-to-BASH-NL2BASH-customv2 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. The card lists the license as apache-2.0.

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

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Mar 5, 2023
Updated: Mar 5, 2023
SHA: 32e959ec

Model card

From the Hugging Face model README

t5-large-finetuned-English-to-BASH-NL2BASH-customv2

This model is a fine-tuned version of alexsha/t5-large-finetuned-English-to-BASH on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.4279
Nl2bash M: 0.2836
Gen Len: 15.3647

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: 1e-05
train_batch_size: 9
eval_batch_size: 9
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	76	2.3263	0.1265	15.6353
No log	2.0	152	1.8083	0.1575	15.6235
No log	3.0	228	1.5713	0.2088	15.4
No log	4.0	304	1.4584	0.2622	15.3647
No log	5.0	380	1.4279	0.2836	15.3647

Framework versions

Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.6.1
Tokenizers 0.11.0

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 5, 2023
Updated: Mar 5, 2023