FLANT5_base

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

• Loss: 0.1042
• Bleu Score: 24.4829
• Gen Len: 18.816

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu Score	Gen Len
0.2337	1.0	419	0.1422	23.4722	18.8088
0.1441	2.0	838	0.1186	24.2104	18.8041
0.1185	3.0	1257	0.1077	24.3846	18.8124
0.1069	4.0	1676	0.1042	24.4829	18.816

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3