t5-small-finetuned-NL2BASH-customv3

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

• Loss: 0.9899
• Nl2bash M: 0.6953
• Gen Len: 13.0909

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: 0.0001
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Nl2bash M	Gen Len
No log	1.0	121	1.3618	0.4686	12.2562
No log	2.0	242	1.1341	0.6049	12.8967
No log	3.0	363	1.0489	0.6468	13.0909
No log	4.0	484	1.0048	0.684	13.0661
1.3783	5.0	605	0.9899	0.6953	13.0909

Framework versions

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