t5-small-ENG2BASH-NL2BASH-customv1

alexsha/t5-small-ENG2BASH-NL2BASH-customv1

t5-small-ENG2BASH-NL2BASH-customv1 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. --

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At a glance

Library: transformers
Model type: t5
Access: Public
Created: Feb 21, 2023
Updated: Feb 21, 2023
SHA: 0539fce4

Model card

From the Hugging Face model README

t5-small-ENG2BASH-NL2BASH-customv1

This model is a fine-tuned version of alexsha/t5-small-ENG2BASH-NL2BASH on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2460
Bleu: 89.1258
Gen Len: 6.4872

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	0.9255	8.9812	6.7179
No log	2.0	126	0.5406	52.1648	7.0256
No log	3.0	189	0.3841	61.0328	7.5897
No log	4.0	252	0.2745	65.7791	7.641
No log	5.0	315	0.2461	83.3	6.5641
No log	6.0	378	0.2582	84.9958	6.7436
No log	7.0	441	0.2703	85.5359	6.3333
0.5161	8.0	504	0.2527	86.893	6.7179
0.5161	9.0	567	0.2471	88.5593	6.5641
0.5161	10.0	630	0.2460	89.1258	6.4872

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