dfm_ED1

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: 0.8012
• F1-score: 0.9015

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	0.4035	0.8588
No log	2.0	138	0.8828	0.8415
No log	3.0	207	0.7806	0.8415
No log	4.0	276	0.7081	0.8678
No log	5.0	345	0.6518	0.8851
No log	6.0	414	0.9181	0.8601
No log	7.0	483	0.9935	0.8681
0.1537	8.0	552	0.8012	0.9015
0.1537	9.0	621	0.8481	0.8849
0.1537	10.0	690	0.8509	0.8849

Framework versions

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