dfm_NC

This model is a fine-tuned version of KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2386
• F1-score: 0.9231

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: 16
• eval_batch_size: 16
• 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	40	0.2541	0.9087
No log	2.0	80	0.2386	0.9231
No log	3.0	120	0.2399	0.9199
No log	4.0	160	0.3668	0.9093
No log	5.0	200	0.4189	0.9093
No log	6.0	240	0.6241	0.8760
No log	7.0	280	0.5370	0.9093
No log	8.0	320	0.6048	0.9025
No log	9.0	360	0.6588	0.8891
No log	10.0	400	0.5380	0.9093

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1