t5-large-finetuned-English-to-BASH

This model is a fine-tuned version of t5-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7646
• Nl2bash M: 0.7822
• Gen Len: 14.4665

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: 4e-05
• 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
0.2312	1.0	561	0.6370	0.7743	14.4202
0.1836	2.0	1122	0.6767	0.7782	14.4585
0.1445	3.0	1683	0.7171	0.7805	14.3586
0.1263	4.0	2244	0.7457	0.78	14.479
0.1092	5.0	2805	0.7646	0.7822	14.4665

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.13.1
• Datasets 2.9.0
• Tokenizers 0.13.2