distilbart-invoice-model

This model is a fine-tuned version of sshleifer/distilbart-cnn-6-6 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0201

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
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	96	0.0457
No log	2.0	192	0.0256
No log	3.0	288	0.0209
No log	4.0	384	0.0188
No log	5.0	480	0.0202
0.122	6.0	576	0.0201

Framework versions

• Transformers 4.50.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1