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