dfm_ED3

This model is a fine-tuned version of KennethEnevoldsen/dfm-sentence-encoder-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4093
• F1-score: 0.9174

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score
No log	1.0	69	0.6188	0.7853
No log	2.0	138	0.5757	0.8835
No log	3.0	207	0.4093	0.9174
No log	4.0	276	0.6598	0.8934
No log	5.0	345	0.7089	0.9096
No log	6.0	414	0.6522	0.9096
No log	7.0	483	0.6856	0.9096
0.1214	8.0	552	0.6935	0.9096
0.1214	9.0	621	0.6891	0.9096
0.1214	10.0	690	0.6906	0.9096

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1