document_type_identification

This model is a fine-tuned version of sguarnaccio/document_type_identification on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1899
• Accuracy: 0.9452

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3343	1.0	748	0.1788	0.9264
0.2262	2.0	1496	0.2216	0.9365
0.1487	3.0	2244	0.1899	0.9452

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2