relation_classification_single_label_correlations

This model is a fine-tuned version of Musixmatch/umberto-commoncrawl-cased-v1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8244
• Accuracy: 0.7209
• F1: 0.7003

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	121	0.7878	0.6279	0.6332
No log	2.0	242	0.8169	0.6822	0.6664
No log	3.0	363	0.8244	0.7209	0.7003
No log	4.0	484	0.9999	0.6977	0.6898
0.5583	5.0	605	1.2330	0.6744	0.6372
0.5583	6.0	726	1.4526	0.6434	0.5751
0.5583	7.0	847	1.5028	0.6434	0.5853
0.5583	8.0	968	1.6308	0.6512	0.6008
0.1534	9.0	1089	1.7342	0.6434	0.5817
0.1534	10.0	1210	1.7693	0.6512	0.5468

Framework versions

• Transformers 4.40.1
• Pytorch 2.3.0+cu118
• Datasets 2.19.0
• Tokenizers 0.19.1