patentClassfication3

This model is a fine-tuned version of allenai/longformer-large-4096 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5626
• Accuracy: 0.7273
• F1: 0.7363

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: 1.4489735300181872e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 3
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• lr_scheduler_warmup_steps: 240
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5874	1.0	4438	0.5567	0.7050	0.7191
0.5338	2.0	8876	0.5391	0.7226	0.7435
0.4762	3.0	13314	0.5626	0.7273	0.7363

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.0
• Datasets 2.14.4
• Tokenizers 0.13.3