BEREL-finetuned-DSS-sectarian-classification

This model is a fine-tuned version of dicta-il/BEREL on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2263

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: 7

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	39	0.3616
No log	2.0	78	0.2263
No log	3.0	117	0.3206
No log	4.0	156	0.2727
No log	5.0	195	0.3291
No log	6.0	234	0.3507
No log	7.0	273	0.3554

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1