t5-small-finetuned-English-to-BASH-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
• Exact Match: 0.0
• Blue: 43.2959
• Nl2bash M: 0.6953

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	Exact Match	Blue	Nl2bash M
No log	1.0	121	1.3618	0.0	26.4318	0.4686
No log	2.0	242	1.1341	0.0	36.887	0.6049
No log	3.0	363	1.0489	0.0	40.1849	0.6468
No log	4.0	484	1.0048	0.0	42.7934	0.684
1.3783	5.0	605	0.9899	0.0	43.2959	0.6953

Framework versions

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