qsaf_propositional

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: 0.4423

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• 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
0.4745	1.7778	500	0.3914
0.4061	3.5556	1000	0.3874
0.3591	5.3333	1500	0.4040
0.3246	7.1111	2000	0.4303
0.3303	8.8889	2500	0.4423

Framework versions

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