albert_v2_lookup_spending_category

This model is a fine-tuned version of Palak/albert-base-v2_squad on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0406

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	84	0.0321
No log	2.0	168	0.0358
No log	3.0	252	0.0372
No log	4.0	336	0.0381
No log	5.0	420	0.0388
0.0064	6.0	504	0.0393
0.0064	7.0	588	0.0398
0.0064	8.0	672	0.0401
0.0064	9.0	756	0.0403
0.0064	10.0	840	0.0405
0.0064	11.0	924	0.0406
0.0	12.0	1008	0.0406

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1