qsaf_propositional_v2

This model is a fine-tuned version of chentong00/propositionizer-wiki-flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4817

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• 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
• lr_scheduler_warmup_steps: 500
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.5067	0.8889	500	0.3992
0.442	1.7778	1000	0.3875
0.4012	2.6667	1500	0.3929
0.3767	3.5556	2000	0.4012
0.3447	4.4444	2500	0.4054
0.3244	5.3333	3000	0.4262
0.3223	6.2222	3500	0.4382
0.3014	7.1111	4000	0.4630
0.2909	8.0	4500	0.4668
0.2861	8.8889	5000	0.4755
0.2903	9.7778	5500	0.4817

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.1+cu124
• Datasets 3.1.0
• Tokenizers 0.20.4