flan-t5-neutralisation

This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0412
• Bleu: 54.4994
• Gen Len: 18.5938

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: 5.6e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	440	0.0773	52.243	18.5417
0.2124	2.0	880	0.0626	53.6111	18.5104
0.1009	3.0	1320	0.0501	54.3864	18.5625
0.0742	4.0	1760	0.0424	54.4994	18.5729
0.0655	5.0	2200	0.0415	54.4994	18.5938
0.0593	6.0	2640	0.0412	54.4994	18.5938

Framework versions

• Transformers 4.51.2
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.21.4