t5-small-transferLearning-NL2BASH_seqTrain

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: 0.6524
• Bleu: 48.0701
• Gen Len: 8.9028

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: 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	36	0.6524	48.0701	8.9028
No log	2.0	72	0.6524	48.0701	8.9028
No log	3.0	108	0.6524	48.0701	8.9028
No log	4.0	144	0.6524	48.0701	8.9028
No log	5.0	180	0.6524	48.0701	8.9028

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2