CrossEncoder based on NAMAA-Space/GATE-Reranker-V1

Model Details

Model Description

• Model Type: Cross Encoder
• Base model: NAMAA-Space/GATE-Reranker-V1
• Maximum Sequence Length: 512 tokens
• Number of Output Labels: 1 label

Model Sources

• Documentation: Sentence Transformers Documentation
• Documentation: Cross Encoder Documentation
• Repository: Sentence Transformers on GitHub
• Hugging Face: Cross Encoders on Hugging Face

Usage

Direct Usage (Sentence Transformers)

Evaluation

Metrics

Cross Encoder Classification

• Dataset: eval
• Evaluated with CrossEncoderClassificationEvaluator

Cross Encoder Classification

• Dataset: eval
• Evaluated with CrossEncoderClassificationEvaluator

Cross Encoder Classification

• Dataset: eval
• Evaluated with CrossEncoderClassificationEvaluator

Training Details

Training Dataset

Unnamed Dataset

• Size: 8,623 training samples
• Columns: sentence_0, sentence_1, and label
• Approximate statistics based on the first 1000 samples:

  	sentence_0	sentence_1	label
  type	string	string	float
  details	min: 9 characters mean: 35.96 characters max: 132 characters	min: 39 characters mean: 286.62 characters max: 12356 characters	min: 0.0 mean: 0.16 max: 1.0

• Samples:

  sentence_0	sentence_1	label
  هل ترك الصلاة تهاونا وكسلا كبيرة من الكبائر، ومن العلماء من قال بكفره، هل هذا الحكم له توجيهه من السنة النبوية؟	حديث طَارِقِ بْنِ شِهَابٍ رضي الله عنه، عَنِ النَّبِيِّ ﷺ قَالَ: «الجُمُعَةُ حَقٌّ وَاجِبٌ عَلَى كُلِّ مُسْلِمٍ فِي جَمَاعَةٍ إِلَّا أَرْبَعَةً: عَبْدٌ مَمْلُوكٌ، أَوِ امْرَأَةٌ، أَوْ صَبِيٌّ، أَوْ مَرِيضٌ». رواه أبو داود (1067)، وصححه الألباني في إرواء الغليل (592)، والوادعي في الصحيح المسند (517) .	0.0
  من هو النبي الذي كان يعمل نجارا ؟	عن أبي بن كعب رضي الله عنه قال: «إن رسول الله ﷺ كان يوتر فيقنت قبل الركوع». أخرجه ابن ماجه.	0.0
  ما سبب كراهية الصلاة على السجّاد المزخرف؟	ابن عباس رضي الله عنه عن النبي ﷺ أنه قال: (من سمع النداء فلم يأته، فلا صلاة له إلا من عذر). أخرجه ابن ماجه	0.0

• Loss: BinaryCrossEntropyLoss with these parameters:
  json

  1{ 2 "activation_fn": "torch.nn.modules.linear.Identity", 3 "pos_weight": null 4}

Training Hyperparameters

Non-Default Hyperparameters

• eval_strategy: steps
• num_train_epochs: 4
• fp16: True

All Hyperparameters

Click to expand

• overwrite_output_dir: False
• do_predict: False
• eval_strategy: steps
• prediction_loss_only: True
• per_device_train_batch_size: 8
• per_device_eval_batch_size: 8
• per_gpu_train_batch_size: None
• per_gpu_eval_batch_size: None
• gradient_accumulation_steps: 1
• eval_accumulation_steps: None
• torch_empty_cache_steps: None
• learning_rate: 5e-05
• weight_decay: 0.0
• adam_beta1: 0.9
• adam_beta2: 0.999
• adam_epsilon: 1e-08
• max_grad_norm: 1
• num_train_epochs: 4
• max_steps: -1
• lr_scheduler_type: linear
• lr_scheduler_kwargs: {}
• warmup_ratio: 0.0
• warmup_steps: 0
• log_level: passive
• log_level_replica: warning
• log_on_each_node: True
• logging_nan_inf_filter: True
• save_safetensors: True
• save_on_each_node: False
• save_only_model: False
• restore_callback_states_from_checkpoint: False
• no_cuda: False
• use_cpu: False
• use_mps_device: False
• seed: 42
• data_seed: None
• jit_mode_eval: False
• use_ipex: False
• bf16: False
• fp16: True
• fp16_opt_level: O1
• half_precision_backend: auto
• bf16_full_eval: False
• fp16_full_eval: False
• tf32: None
• local_rank: 0
• ddp_backend: None
• tpu_num_cores: None
• tpu_metrics_debug: False
• debug: []
• dataloader_drop_last: False
• dataloader_num_workers: 0
• dataloader_prefetch_factor: None
• past_index: -1
• disable_tqdm: False
• remove_unused_columns: True
• label_names: None
• load_best_model_at_end: False
• ignore_data_skip: False
• fsdp: []
• fsdp_min_num_params: 0
• fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
• fsdp_transformer_layer_cls_to_wrap: None
• accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
• deepspeed: None
• label_smoothing_factor: 0.0
• optim: adamw_torch
• optim_args: None
• adafactor: False
• group_by_length: False
• length_column_name: length
• ddp_find_unused_parameters: None
• ddp_bucket_cap_mb: None
• ddp_broadcast_buffers: False
• dataloader_pin_memory: True
• dataloader_persistent_workers: False
• skip_memory_metrics: True
• use_legacy_prediction_loop: False
• push_to_hub: False
• resume_from_checkpoint: None
• hub_model_id: None
• hub_strategy: every_save
• hub_private_repo: None
• hub_always_push: False
• hub_revision: None
• gradient_checkpointing: False
• gradient_checkpointing_kwargs: None
• include_inputs_for_metrics: False
• include_for_metrics: []
• eval_do_concat_batches: True
• fp16_backend: auto
• push_to_hub_model_id: None
• push_to_hub_organization: None
• mp_parameters:
• auto_find_batch_size: False
• full_determinism: False
• torchdynamo: None
• ray_scope: last
• ddp_timeout: 1800
• torch_compile: False
• torch_compile_backend: None
• torch_compile_mode: None
• include_tokens_per_second: False
• include_num_input_tokens_seen: False
• neftune_noise_alpha: None
• optim_target_modules: None
• batch_eval_metrics: False
• eval_on_start: False
• use_liger_kernel: False
• liger_kernel_config: None
• eval_use_gather_object: False
• average_tokens_across_devices: False
• prompts: None
• batch_sampler: batch_sampler
• multi_dataset_batch_sampler: proportional

Training Logs

Framework Versions

• Python: 3.11.13
• Sentence Transformers: 4.1.0
• Transformers: 4.54.1
• PyTorch: 2.6.0+cu124
• Accelerate: 1.9.0
• Datasets: 4.0.0
• Tokenizers: 0.21.4

Citation

BibTeX

Sentence Transformers