t5-large-finetuned-NL2BASH-customv3

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: 0.7159
• Nl2bash M: 0.8822
• Gen Len: 13.4256

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: 3e-05
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Nl2bash M	Gen Len
No log	1.0	387	0.7666	0.8897	13.2314
0.0177	2.0	774	0.7878	0.887	13.3512
0.0188	3.0	1161	0.7580	0.8872	13.5661
0.0461	4.0	1548	0.7121	0.8846	13.3926
0.0461	5.0	1935	0.7159	0.8822	13.4256

Framework versions

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