t5-small-ENG2BASH-NL2BASH

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9071
• Bleu: 22.5899
• Gen Len: 16.6106

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: 0.0002
• 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: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.5303	1.0	2017	1.3430	16.1379	16.8501
1.284	2.0	4034	1.1602	18.2161	16.6542
1.1289	3.0	6051	1.0617	19.8231	16.563
1.0573	4.0	8068	1.0064	20.1614	16.429
0.9723	5.0	10085	0.9780	21.3802	16.4393
0.915	6.0	12102	0.9451	21.3512	16.7304
0.8774	7.0	14119	0.9272	22.102	16.6178
0.8411	8.0	16136	0.9133	22.4544	16.7407
0.7958	9.0	18153	0.9095	22.5116	16.5726
0.7943	10.0	20170	0.9071	22.5899	16.6106

Framework versions

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