WordProblem

This model is a fine-tuned version of MathSymbol/BasicSFT_1.8_Pretrain_Lightning on the WordProblems_SFT dataset. It achieves the following results on the evaluation set:

• Loss: 0.1677

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 500
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.1923	0.1645	1500	0.1849
0.176	0.3289	3000	0.1761
0.1736	0.4934	4500	0.1709
0.1688	0.6579	6000	0.1682
0.1689	0.8223	7500	0.1677
0.168	0.9868	9000	0.1677

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.1+cu121
• Datasets 2.17.1
• Tokenizers 0.19.1