bart_math_solver

This model is a fine-tuned version of anandNakat/bart_math_solver on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7365

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	221	0.6829
No log	2.0	442	0.4829
0.2857	3.0	663	1.2298
0.2857	4.0	884	0.4878
0.2399	5.0	1105	1.1191
0.2399	6.0	1326	0.6093
0.1495	7.0	1547	0.5928
0.1495	8.0	1768	0.5647
0.1495	9.0	1989	0.6989
0.0935	10.0	2210	0.7365

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1