2026-03-02 17:54:30 - Load pretrained SentenceTransformer: bert-base-arabertv02
2026-03-02 17:54:41 - '[Errno -2] Name or service not known' thrown while requesting HEAD https://huggingface.co/bert-base-arabertv02/resolve/main/./modules.json
2026-03-02 17:54:41 - Retrying in 1s [Retry 1/5].
2026-03-02 17:54:42 - No sentence-transformers model found with name bert-base-arabertv02. Creating a new one with mean pooling.
2026-03-02 17:56:12 - Use pytorch device_name: cuda:0
2026-03-02 17:56:12 - Load pretrained SentenceTransformer: /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-61786
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{'loss': '0.4408', 'grad_norm': '5.164', 'learning_rate': '1.107e-05', 'epoch': '2.007'}
{'loss': '0.4188', 'grad_norm': '3.438', 'learning_rate': '1.104e-05', 'epoch': '2.013'}
{'loss': '0.4396', 'grad_norm': '7.06', 'learning_rate': '1.1e-05', 'epoch': '2.02'}
{'loss': '0.4423', 'grad_norm': '4.074', 'learning_rate': '1.096e-05', 'epoch': '2.026'}
{'loss': '0.4464', 'grad_norm': '6.44', 'learning_rate': '1.093e-05', 'epoch': '2.033'}
{'loss': '0.4318', 'grad_norm': '3.624', 'learning_rate': '1.089e-05', 'epoch': '2.039'}
{'loss': '0.4413', 'grad_norm': '3.332', 'learning_rate': '1.086e-05', 'epoch': '2.046'}
{'loss': '0.4612', 'grad_norm': '4.731', 'learning_rate': '1.082e-05', 'epoch': '2.052'}
{'loss': '0.4406', 'grad_norm': '5.413', 'learning_rate': '1.079e-05', 'epoch': '2.059'}
{'loss': '0.4376', 'grad_norm': '3.114', 'learning_rate': '1.075e-05', 'epoch': '2.065'}
{'loss': '0.445', 'grad_norm': '4.638', 'learning_rate': '1.071e-05', 'epoch': '2.072'}
{'loss': '0.4373', 'grad_norm': '3.384', 'learning_rate': '1.068e-05', 'epoch': '2.078'}
{'loss': '0.4227', 'grad_norm': '5.522', 'learning_rate': '1.064e-05', 'epoch': '2.085'}
{'loss': '0.4499', 'grad_norm': '2.805', 'learning_rate': '1.061e-05', 'epoch': '2.091'}
{'loss': '0.4411', 'grad_norm': '5.262', 'learning_rate': '1.057e-05', 'epoch': '2.098'}
{'loss': '0.4506', 'grad_norm': '4.764', 'learning_rate': '1.053e-05', 'epoch': '2.104'}
{'loss': '0.4066', 'grad_norm': '2.191', 'learning_rate': '1.05e-05', 'epoch': '2.111'}
{'loss': '0.4325', 'grad_norm': '5.071', 'learning_rate': '1.046e-05', 'epoch': '2.117'}
{'loss': '0.4124', 'grad_norm': '5.363', 'learning_rate': '1.043e-05', 'epoch': '2.123'}
{'loss': '0.4169', 'grad_norm': '3.958', 'learning_rate': '1.039e-05', 'epoch': '2.13'}
{'loss': '0.4166', 'grad_norm': '2.913', 'learning_rate': '1.035e-05', 'epoch': '2.136'}
2026-03-02 19:28:04 - TripletEvaluator: Evaluating the model on the dev-768 dataset in epoch 2.1364085133932185 after 66000 steps (truncated to 768):
2026-03-02 19:49:48 - Accuracy Cosine Similarity:	98.05%
2026-03-02 19:49:48 - TripletEvaluator: Evaluating the model on the dev-512 dataset in epoch 2.1364085133932185 after 66000 steps (truncated to 512):
2026-03-02 20:10:59 - Accuracy Cosine Similarity:	98.06%
2026-03-02 20:10:59 - TripletEvaluator: Evaluating the model on the dev-256 dataset in epoch 2.1364085133932185 after 66000 steps (truncated to 256):
2026-03-02 20:32:00 - Accuracy Cosine Similarity:	98.06%
2026-03-02 20:32:00 - TripletEvaluator: Evaluating the model on the dev-128 dataset in epoch 2.1364085133932185 after 66000 steps (truncated to 128):
2026-03-02 20:52:44 - Accuracy Cosine Similarity:	98.03%
2026-03-02 20:52:44 - TripletEvaluator: Evaluating the model on the dev-64 dataset in epoch 2.1364085133932185 after 66000 steps (truncated to 64):
2026-03-02 21:13:05 - Accuracy Cosine Similarity:	97.93%
{'eval_train_loss': '0.2883', 'eval_dev-768_cosine_accuracy': '0.9805', 'eval_dev-512_cosine_accuracy': '0.9806', 'eval_dev-256_cosine_accuracy': '0.9806', 'eval_dev-128_cosine_accuracy': '0.9803', 'eval_dev-64_cosine_accuracy': '0.9793', 'eval_sequential_score': '0.9805', 'eval_train_runtime': '9366', 'eval_train_samples_per_second': '120.6', 'eval_train_steps_per_second': '15.08', 'epoch': '2.136'}
2026-03-02 21:13:05 - Saving model checkpoint to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-66000
2026-03-02 21:13:05 - Save model to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-66000
{'loss': '0.4069', 'grad_norm': '4.696', 'learning_rate': '1.032e-05', 'epoch': '2.143'}
{'loss': '0.4144', 'grad_norm': '4.022', 'learning_rate': '1.028e-05', 'epoch': '2.149'}
{'loss': '0.3948', 'grad_norm': '3.288', 'learning_rate': '1.025e-05', 'epoch': '2.156'}
{'loss': '0.4284', 'grad_norm': '2.968', 'learning_rate': '1.021e-05', 'epoch': '2.162'}
{'loss': '0.3984', 'grad_norm': '3.579', 'learning_rate': '1.017e-05', 'epoch': '2.169'}
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{'loss': '0.3999', 'grad_norm': '3.263', 'learning_rate': '1.01e-05', 'epoch': '2.182'}
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{'loss': '0.362', 'grad_norm': '3.2', 'learning_rate': '9.742e-06', 'epoch': '2.246'}
{'loss': '0.3717', 'grad_norm': '4.389', 'learning_rate': '9.706e-06', 'epoch': '2.253'}
{'loss': '0.3656', 'grad_norm': '2.031', 'learning_rate': '9.67e-06', 'epoch': '2.259'}
{'loss': '0.3766', 'grad_norm': '5.601', 'learning_rate': '9.634e-06', 'epoch': '2.266'}
{'loss': '0.3768', 'grad_norm': '4.343', 'learning_rate': '9.598e-06', 'epoch': '2.272'}
{'loss': '0.3853', 'grad_norm': '3.466', 'learning_rate': '9.562e-06', 'epoch': '2.279'}
{'loss': '0.3444', 'grad_norm': '3.306', 'learning_rate': '9.526e-06', 'epoch': '2.285'}
{'loss': '0.3863', 'grad_norm': '4.16', 'learning_rate': '9.49e-06', 'epoch': '2.292'}
{'loss': '0.3843', 'grad_norm': '2.997', 'learning_rate': '9.454e-06', 'epoch': '2.298'}
{'loss': '0.362', 'grad_norm': '3.893', 'learning_rate': '9.418e-06', 'epoch': '2.305'}
{'loss': '0.374', 'grad_norm': '4.415', 'learning_rate': '9.382e-06', 'epoch': '2.311'}
{'loss': '0.3657', 'grad_norm': '4.601', 'learning_rate': '9.346e-06', 'epoch': '2.318'}
{'loss': '0.3838', 'grad_norm': '3.083', 'learning_rate': '9.311e-06', 'epoch': '2.324'}
{'loss': '0.357', 'grad_norm': '5.532', 'learning_rate': '9.275e-06', 'epoch': '2.331'}
2026-03-02 23:01:58 - TripletEvaluator: Evaluating the model on the dev-768 dataset in epoch 2.3306304119122765 after 72000 steps (truncated to 768):
2026-03-02 23:22:39 - Accuracy Cosine Similarity:	98.15%
2026-03-02 23:22:39 - TripletEvaluator: Evaluating the model on the dev-512 dataset in epoch 2.3306304119122765 after 72000 steps (truncated to 512):
2026-03-02 23:43:44 - Accuracy Cosine Similarity:	98.16%
2026-03-02 23:43:44 - TripletEvaluator: Evaluating the model on the dev-256 dataset in epoch 2.3306304119122765 after 72000 steps (truncated to 256):
2026-03-03 00:04:58 - Accuracy Cosine Similarity:	98.17%
2026-03-03 00:04:58 - TripletEvaluator: Evaluating the model on the dev-128 dataset in epoch 2.3306304119122765 after 72000 steps (truncated to 128):
2026-03-03 00:25:36 - Accuracy Cosine Similarity:	98.13%
2026-03-03 00:25:36 - TripletEvaluator: Evaluating the model on the dev-64 dataset in epoch 2.3306304119122765 after 72000 steps (truncated to 64):
2026-03-03 00:46:23 - Accuracy Cosine Similarity:	98.01%
{'eval_train_loss': '0.2768', 'eval_dev-768_cosine_accuracy': '0.9815', 'eval_dev-512_cosine_accuracy': '0.9816', 'eval_dev-256_cosine_accuracy': '0.9817', 'eval_dev-128_cosine_accuracy': '0.9813', 'eval_dev-64_cosine_accuracy': '0.9801', 'eval_sequential_score': '0.9815', 'eval_train_runtime': '9309', 'eval_train_samples_per_second': '121.4', 'eval_train_steps_per_second': '15.17', 'epoch': '2.331'}
2026-03-03 00:46:23 - Saving model checkpoint to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-72000
2026-03-03 00:46:23 - Save model to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-72000
{'loss': '0.3562', 'grad_norm': '4.382', 'learning_rate': '9.239e-06', 'epoch': '2.337'}
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{'loss': '0.3865', 'grad_norm': '4.592', 'learning_rate': '8.627e-06', 'epoch': '2.447'}
{'loss': '0.3856', 'grad_norm': '2.638', 'learning_rate': '8.591e-06', 'epoch': '2.454'}
{'loss': '0.3693', 'grad_norm': '4.006', 'learning_rate': '8.555e-06', 'epoch': '2.46'}
{'loss': '0.361', 'grad_norm': '3.124', 'learning_rate': '8.519e-06', 'epoch': '2.467'}
{'loss': '0.3693', 'grad_norm': '3.233', 'learning_rate': '8.483e-06', 'epoch': '2.473'}
{'loss': '0.3708', 'grad_norm': '3.78', 'learning_rate': '8.447e-06', 'epoch': '2.48'}
{'loss': '0.3548', 'grad_norm': '3.921', 'learning_rate': '8.411e-06', 'epoch': '2.486'}
{'loss': '0.3767', 'grad_norm': '5.192', 'learning_rate': '8.375e-06', 'epoch': '2.492'}
{'loss': '0.3668', 'grad_norm': '3.988', 'learning_rate': '8.339e-06', 'epoch': '2.499'}
{'loss': '0.3734', 'grad_norm': '3.967', 'learning_rate': '8.303e-06', 'epoch': '2.505'}
{'loss': '0.3563', 'grad_norm': '2.322', 'learning_rate': '8.267e-06', 'epoch': '2.512'}
{'loss': '0.3842', 'grad_norm': '3.582', 'learning_rate': '8.232e-06', 'epoch': '2.518'}
{'loss': '0.3541', 'grad_norm': '5.197', 'learning_rate': '8.196e-06', 'epoch': '2.525'}
2026-03-03 02:35:54 - TripletEvaluator: Evaluating the model on the dev-768 dataset in epoch 2.5248523104313345 after 78000 steps (truncated to 768):
2026-03-03 02:56:30 - Accuracy Cosine Similarity:	98.20%
2026-03-03 02:56:30 - TripletEvaluator: Evaluating the model on the dev-512 dataset in epoch 2.5248523104313345 after 78000 steps (truncated to 512):
2026-03-03 03:17:13 - Accuracy Cosine Similarity:	98.21%
2026-03-03 03:17:13 - TripletEvaluator: Evaluating the model on the dev-256 dataset in epoch 2.5248523104313345 after 78000 steps (truncated to 256):
2026-03-03 03:38:15 - Accuracy Cosine Similarity:	98.22%
2026-03-03 03:38:15 - TripletEvaluator: Evaluating the model on the dev-128 dataset in epoch 2.5248523104313345 after 78000 steps (truncated to 128):
2026-03-03 03:59:20 - Accuracy Cosine Similarity:	98.18%
2026-03-03 03:59:20 - TripletEvaluator: Evaluating the model on the dev-64 dataset in epoch 2.5248523104313345 after 78000 steps (truncated to 64):
2026-03-03 04:19:52 - Accuracy Cosine Similarity:	98.10%
{'eval_train_loss': '0.2668', 'eval_dev-768_cosine_accuracy': '0.982', 'eval_dev-512_cosine_accuracy': '0.9821', 'eval_dev-256_cosine_accuracy': '0.9822', 'eval_dev-128_cosine_accuracy': '0.9818', 'eval_dev-64_cosine_accuracy': '0.981', 'eval_sequential_score': '0.982', 'eval_train_runtime': '9281', 'eval_train_samples_per_second': '121.7', 'eval_train_steps_per_second': '15.22', 'epoch': '2.525'}
2026-03-03 04:19:52 - Saving model checkpoint to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-78000
2026-03-03 04:19:52 - Save model to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-78000
{'loss': '0.3692', 'grad_norm': '5.604', 'learning_rate': '8.16e-06', 'epoch': '2.531'}
{'loss': '0.3609', 'grad_norm': '4.981', 'learning_rate': '8.124e-06', 'epoch': '2.538'}
{'loss': '0.3763', 'grad_norm': '5.883', 'learning_rate': '8.088e-06', 'epoch': '2.544'}
{'loss': '0.3684', 'grad_norm': '2.069', 'learning_rate': '8.052e-06', 'epoch': '2.551'}
{'loss': '0.3614', 'grad_norm': '4.359', 'learning_rate': '8.016e-06', 'epoch': '2.557'}
{'loss': '0.3789', 'grad_norm': '3.143', 'learning_rate': '7.98e-06', 'epoch': '2.564'}
{'loss': '0.3689', 'grad_norm': '3.077', 'learning_rate': '7.944e-06', 'epoch': '2.57'}
{'loss': '0.3745', 'grad_norm': '2.937', 'learning_rate': '7.908e-06', 'epoch': '2.577'}
{'loss': '0.3725', 'grad_norm': '5.283', 'learning_rate': '7.872e-06', 'epoch': '2.583'}
{'loss': '0.3654', 'grad_norm': '3.622', 'learning_rate': '7.836e-06', 'epoch': '2.59'}
{'loss': '0.3653', 'grad_norm': '4.478', 'learning_rate': '7.8e-06', 'epoch': '2.596'}
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{'loss': '0.3575', 'grad_norm': '5.115', 'learning_rate': '7.656e-06', 'epoch': '2.622'}
{'loss': '0.3776', 'grad_norm': '3.268', 'learning_rate': '7.62e-06', 'epoch': '2.628'}
{'loss': '0.3764', 'grad_norm': '3.383', 'learning_rate': '7.584e-06', 'epoch': '2.635'}
{'loss': '0.3692', 'grad_norm': '5.811', 'learning_rate': '7.548e-06', 'epoch': '2.641'}
{'loss': '0.3573', 'grad_norm': '3.134', 'learning_rate': '7.512e-06', 'epoch': '2.648'}
{'loss': '0.3535', 'grad_norm': '3.569', 'learning_rate': '7.476e-06', 'epoch': '2.654'}
{'loss': '0.3686', 'grad_norm': '5.449', 'learning_rate': '7.44e-06', 'epoch': '2.661'}
{'loss': '0.3763', 'grad_norm': '2.932', 'learning_rate': '7.404e-06', 'epoch': '2.667'}
{'loss': '0.3589', 'grad_norm': '4.469', 'learning_rate': '7.368e-06', 'epoch': '2.674'}
{'loss': '0.3764', 'grad_norm': '3.381', 'learning_rate': '7.332e-06', 'epoch': '2.68'}
{'loss': '0.3682', 'grad_norm': '4.811', 'learning_rate': '7.296e-06', 'epoch': '2.687'}
{'loss': '0.3618', 'grad_norm': '4.508', 'learning_rate': '7.26e-06', 'epoch': '2.693'}
{'loss': '0.3722', 'grad_norm': '3.616', 'learning_rate': '7.224e-06', 'epoch': '2.7'}
{'loss': '0.4015', 'grad_norm': '4.274', 'learning_rate': '7.188e-06', 'epoch': '2.706'}
{'loss': '0.3673', 'grad_norm': '4.678', 'learning_rate': '7.153e-06', 'epoch': '2.713'}
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2026-03-03 06:09:38 - TripletEvaluator: Evaluating the model on the dev-768 dataset in epoch 2.7190742089503925 after 84000 steps (truncated to 768):
2026-03-03 06:30:51 - Accuracy Cosine Similarity:	98.31%
2026-03-03 06:30:51 - TripletEvaluator: Evaluating the model on the dev-512 dataset in epoch 2.7190742089503925 after 84000 steps (truncated to 512):
2026-03-03 06:52:09 - Accuracy Cosine Similarity:	98.32%
2026-03-03 06:52:09 - TripletEvaluator: Evaluating the model on the dev-256 dataset in epoch 2.7190742089503925 after 84000 steps (truncated to 256):
2026-03-03 07:13:25 - Accuracy Cosine Similarity:	98.32%
2026-03-03 07:13:25 - TripletEvaluator: Evaluating the model on the dev-128 dataset in epoch 2.7190742089503925 after 84000 steps (truncated to 128):
2026-03-03 07:34:32 - Accuracy Cosine Similarity:	98.29%
2026-03-03 07:34:32 - TripletEvaluator: Evaluating the model on the dev-64 dataset in epoch 2.7190742089503925 after 84000 steps (truncated to 64):
2026-03-03 07:55:19 - Accuracy Cosine Similarity:	98.20%
{'eval_train_loss': '0.2525', 'eval_dev-768_cosine_accuracy': '0.9831', 'eval_dev-512_cosine_accuracy': '0.9832', 'eval_dev-256_cosine_accuracy': '0.9832', 'eval_dev-128_cosine_accuracy': '0.9829', 'eval_dev-64_cosine_accuracy': '0.982', 'eval_sequential_score': '0.9831', 'eval_train_runtime': '9385', 'eval_train_samples_per_second': '120.4', 'eval_train_steps_per_second': '15.05', 'epoch': '2.719'}
2026-03-03 07:55:19 - Saving model checkpoint to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-84000
2026-03-03 07:55:19 - Save model to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-84000
{'loss': '0.3694', 'grad_norm': '2.933', 'learning_rate': '7.081e-06', 'epoch': '2.726'}
{'loss': '0.365', 'grad_norm': '4.5', 'learning_rate': '7.045e-06', 'epoch': '2.732'}
{'loss': '0.3753', 'grad_norm': '4.921', 'learning_rate': '7.009e-06', 'epoch': '2.738'}
{'loss': '0.3554', 'grad_norm': '3.083', 'learning_rate': '6.973e-06', 'epoch': '2.745'}
{'loss': '0.3936', 'grad_norm': '5.051', 'learning_rate': '6.937e-06', 'epoch': '2.751'}
{'loss': '0.3735', 'grad_norm': '6.889', 'learning_rate': '6.901e-06', 'epoch': '2.758'}
{'loss': '0.3746', 'grad_norm': '3.799', 'learning_rate': '6.865e-06', 'epoch': '2.764'}
{'loss': '0.3619', 'grad_norm': '2.101', 'learning_rate': '6.829e-06', 'epoch': '2.771'}
{'loss': '0.3705', 'grad_norm': '4.39', 'learning_rate': '6.793e-06', 'epoch': '2.777'}
{'loss': '0.359', 'grad_norm': '2.37', 'learning_rate': '6.757e-06', 'epoch': '2.784'}
{'loss': '0.3682', 'grad_norm': '3.344', 'learning_rate': '6.721e-06', 'epoch': '2.79'}
{'loss': '0.3821', 'grad_norm': '3.043', 'learning_rate': '6.685e-06', 'epoch': '2.797'}
{'loss': '0.3624', 'grad_norm': '3.74', 'learning_rate': '6.649e-06', 'epoch': '2.803'}
{'loss': '0.3751', 'grad_norm': '3.94', 'learning_rate': '6.613e-06', 'epoch': '2.81'}
{'loss': '0.3955', 'grad_norm': '4.282', 'learning_rate': '6.577e-06', 'epoch': '2.816'}
{'loss': '0.3581', 'grad_norm': '4.607', 'learning_rate': '6.541e-06', 'epoch': '2.823'}
{'loss': '0.3588', 'grad_norm': '5.26', 'learning_rate': '6.505e-06', 'epoch': '2.829'}
{'loss': '0.3622', 'grad_norm': '4.333', 'learning_rate': '6.469e-06', 'epoch': '2.836'}
{'loss': '0.375', 'grad_norm': '3.19', 'learning_rate': '6.433e-06', 'epoch': '2.842'}
{'loss': '0.3589', 'grad_norm': '3.558', 'learning_rate': '6.397e-06', 'epoch': '2.849'}
{'loss': '0.3816', 'grad_norm': '2.926', 'learning_rate': '6.361e-06', 'epoch': '2.855'}
{'loss': '0.3624', 'grad_norm': '5.621', 'learning_rate': '6.325e-06', 'epoch': '2.862'}
{'loss': '0.3923', 'grad_norm': '4.943', 'learning_rate': '6.289e-06', 'epoch': '2.868'}
{'loss': '0.3798', 'grad_norm': '5.76', 'learning_rate': '6.253e-06', 'epoch': '2.874'}
{'loss': '0.3362', 'grad_norm': '2.747', 'learning_rate': '6.217e-06', 'epoch': '2.881'}
{'loss': '0.3766', 'grad_norm': '4.018', 'learning_rate': '6.181e-06', 'epoch': '2.887'}
{'loss': '0.3839', 'grad_norm': '4.481', 'learning_rate': '6.145e-06', 'epoch': '2.894'}
{'loss': '0.376', 'grad_norm': '3.558', 'learning_rate': '6.109e-06', 'epoch': '2.9'}
{'loss': '0.3958', 'grad_norm': '3.886', 'learning_rate': '6.074e-06', 'epoch': '2.907'}
{'loss': '0.372', 'grad_norm': '3.935', 'learning_rate': '6.038e-06', 'epoch': '2.913'}
2026-03-03 09:45:15 - TripletEvaluator: Evaluating the model on the dev-768 dataset in epoch 2.9132961074694506 after 90000 steps (truncated to 768):
2026-03-03 10:06:33 - Accuracy Cosine Similarity:	98.36%
2026-03-03 10:06:33 - TripletEvaluator: Evaluating the model on the dev-512 dataset in epoch 2.9132961074694506 after 90000 steps (truncated to 512):
2026-03-03 10:27:44 - Accuracy Cosine Similarity:	98.38%
2026-03-03 10:27:44 - TripletEvaluator: Evaluating the model on the dev-256 dataset in epoch 2.9132961074694506 after 90000 steps (truncated to 256):
2026-03-03 10:48:39 - Accuracy Cosine Similarity:	98.40%
2026-03-03 10:48:39 - TripletEvaluator: Evaluating the model on the dev-128 dataset in epoch 2.9132961074694506 after 90000 steps (truncated to 128):
2026-03-03 11:09:11 - Accuracy Cosine Similarity:	98.35%
2026-03-03 11:09:11 - TripletEvaluator: Evaluating the model on the dev-64 dataset in epoch 2.9132961074694506 after 90000 steps (truncated to 64):
2026-03-03 11:30:20 - Accuracy Cosine Similarity:	98.26%
{'eval_train_loss': '0.243', 'eval_dev-768_cosine_accuracy': '0.9836', 'eval_dev-512_cosine_accuracy': '0.9838', 'eval_dev-256_cosine_accuracy': '0.984', 'eval_dev-128_cosine_accuracy': '0.9835', 'eval_dev-64_cosine_accuracy': '0.9826', 'eval_sequential_score': '0.9836', 'eval_train_runtime': '9339', 'eval_train_samples_per_second': '121', 'eval_train_steps_per_second': '15.12', 'epoch': '2.913'}
2026-03-03 11:30:20 - Saving model checkpoint to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-90000
2026-03-03 11:30:20 - Save model to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-90000
{'loss': '0.3724', 'grad_norm': '4.557', 'learning_rate': '6.002e-06', 'epoch': '2.92'}
{'loss': '0.3708', 'grad_norm': '5.298', 'learning_rate': '5.966e-06', 'epoch': '2.926'}
{'loss': '0.3804', 'grad_norm': '4.007', 'learning_rate': '5.93e-06', 'epoch': '2.933'}
{'loss': '0.3647', 'grad_norm': '6.184', 'learning_rate': '5.894e-06', 'epoch': '2.939'}
{'loss': '0.3721', 'grad_norm': '2.113', 'learning_rate': '5.858e-06', 'epoch': '2.946'}
{'loss': '0.389', 'grad_norm': '4.014', 'learning_rate': '5.822e-06', 'epoch': '2.952'}
{'loss': '0.4107', 'grad_norm': '4.331', 'learning_rate': '5.786e-06', 'epoch': '2.959'}
{'loss': '0.3917', 'grad_norm': '5.432', 'learning_rate': '5.75e-06', 'epoch': '2.965'}
{'loss': '0.3608', 'grad_norm': '5.648', 'learning_rate': '5.714e-06', 'epoch': '2.972'}
{'loss': '0.386', 'grad_norm': '3.361', 'learning_rate': '5.678e-06', 'epoch': '2.978'}
{'loss': '0.3998', 'grad_norm': '4.219', 'learning_rate': '5.642e-06', 'epoch': '2.985'}
{'loss': '0.3889', 'grad_norm': '4.905', 'learning_rate': '5.606e-06', 'epoch': '2.991'}
{'loss': '0.3715', 'grad_norm': '5.136', 'learning_rate': '5.57e-06', 'epoch': '2.997'}
{'loss': '0.345', 'grad_norm': '4.286', 'learning_rate': '5.534e-06', 'epoch': '3.004'}
{'loss': '0.2915', 'grad_norm': '4.063', 'learning_rate': '5.498e-06', 'epoch': '3.01'}
{'loss': '0.2876', 'grad_norm': '5.342', 'learning_rate': '5.462e-06', 'epoch': '3.017'}
{'loss': '0.2979', 'grad_norm': '2.142', 'learning_rate': '5.426e-06', 'epoch': '3.023'}
{'loss': '0.2952', 'grad_norm': '2.973', 'learning_rate': '5.39e-06', 'epoch': '3.03'}
{'loss': '0.2925', 'grad_norm': '5.659', 'learning_rate': '5.354e-06', 'epoch': '3.036'}
{'loss': '0.2944', 'grad_norm': '4.593', 'learning_rate': '5.318e-06', 'epoch': '3.043'}
{'loss': '0.3033', 'grad_norm': '5.093', 'learning_rate': '5.282e-06', 'epoch': '3.049'}
{'loss': '0.2963', 'grad_norm': '3.233', 'learning_rate': '5.246e-06', 'epoch': '3.056'}
{'loss': '0.2835', 'grad_norm': '5.186', 'learning_rate': '5.21e-06', 'epoch': '3.062'}
{'loss': '0.2987', 'grad_norm': '3.581', 'learning_rate': '5.174e-06', 'epoch': '3.069'}
{'loss': '0.3', 'grad_norm': '4.349', 'learning_rate': '5.138e-06', 'epoch': '3.075'}
{'loss': '0.2845', 'grad_norm': '4.465', 'learning_rate': '5.102e-06', 'epoch': '3.082'}
{'loss': '0.2899', 'grad_norm': '3.619', 'learning_rate': '5.066e-06', 'epoch': '3.088'}
{'loss': '0.3078', 'grad_norm': '3.873', 'learning_rate': '5.03e-06', 'epoch': '3.095'}
{'loss': '0.2943', 'grad_norm': '4.048', 'learning_rate': '4.995e-06', 'epoch': '3.101'}
{'loss': '0.2758', 'grad_norm': '3.275', 'learning_rate': '4.959e-06', 'epoch': '3.108'}
2026-03-03 13:20:03 - TripletEvaluator: Evaluating the model on the dev-768 dataset in epoch 3.1075018208302985 after 96000 steps (truncated to 768):
2026-03-03 13:42:30 - Accuracy Cosine Similarity:	98.41%
2026-03-03 13:42:30 - TripletEvaluator: Evaluating the model on the dev-512 dataset in epoch 3.1075018208302985 after 96000 steps (truncated to 512):
2026-03-03 14:05:12 - Accuracy Cosine Similarity:	98.42%
2026-03-03 14:05:12 - TripletEvaluator: Evaluating the model on the dev-256 dataset in epoch 3.1075018208302985 after 96000 steps (truncated to 256):
2026-03-03 14:27:36 - Accuracy Cosine Similarity:	98.44%
2026-03-03 14:27:36 - TripletEvaluator: Evaluating the model on the dev-128 dataset in epoch 3.1075018208302985 after 96000 steps (truncated to 128):
2026-03-03 14:50:20 - Accuracy Cosine Similarity:	98.42%
2026-03-03 14:50:20 - TripletEvaluator: Evaluating the model on the dev-64 dataset in epoch 3.1075018208302985 after 96000 steps (truncated to 64):
2026-03-03 15:12:47 - Accuracy Cosine Similarity:	98.34%
{'eval_train_loss': '0.2361', 'eval_dev-768_cosine_accuracy': '0.9841', 'eval_dev-512_cosine_accuracy': '0.9842', 'eval_dev-256_cosine_accuracy': '0.9844', 'eval_dev-128_cosine_accuracy': '0.9842', 'eval_dev-64_cosine_accuracy': '0.9834', 'eval_sequential_score': '0.9841', 'eval_train_runtime': '9833', 'eval_train_samples_per_second': '114.9', 'eval_train_steps_per_second': '14.36', 'epoch': '3.108'}
2026-03-03 15:12:47 - Saving model checkpoint to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-96000
2026-03-03 15:12:47 - Save model to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-96000
{'loss': '0.2835', 'grad_norm': '3.412', 'learning_rate': '4.923e-06', 'epoch': '3.114'}
{'loss': '0.2774', 'grad_norm': '2.313', 'learning_rate': '4.887e-06', 'epoch': '3.12'}
{'loss': '0.2696', 'grad_norm': '1.394', 'learning_rate': '4.851e-06', 'epoch': '3.127'}
{'loss': '0.282', 'grad_norm': '4.947', 'learning_rate': '4.815e-06', 'epoch': '3.133'}
{'loss': '0.2813', 'grad_norm': '3.528', 'learning_rate': '4.779e-06', 'epoch': '3.14'}
{'loss': '0.2699', 'grad_norm': '3.904', 'learning_rate': '4.743e-06', 'epoch': '3.146'}
{'loss': '0.2727', 'grad_norm': '3.14', 'learning_rate': '4.707e-06', 'epoch': '3.153'}
{'loss': '0.2835', 'grad_norm': '3.664', 'learning_rate': '4.671e-06', 'epoch': '3.159'}
{'loss': '0.2722', 'grad_norm': '2.961', 'learning_rate': '4.635e-06', 'epoch': '3.166'}
{'loss': '0.2727', 'grad_norm': '4.693', 'learning_rate': '4.599e-06', 'epoch': '3.172'}
{'loss': '0.2747', 'grad_norm': '2.871', 'learning_rate': '4.563e-06', 'epoch': '3.179'}
{'loss': '0.2606', 'grad_norm': '3.735', 'learning_rate': '4.527e-06', 'epoch': '3.185'}
{'loss': '0.2705', 'grad_norm': '1.348', 'learning_rate': '4.491e-06', 'epoch': '3.192'}
{'loss': '0.2542', 'grad_norm': '5.111', 'learning_rate': '4.455e-06', 'epoch': '3.198'}
{'loss': '0.2632', 'grad_norm': '5.231', 'learning_rate': '4.419e-06', 'epoch': '3.205'}
{'loss': '0.2584', 'grad_norm': '2.372', 'learning_rate': '4.383e-06', 'epoch': '3.211'}
{'loss': '0.2597', 'grad_norm': '2.103', 'learning_rate': '4.347e-06', 'epoch': '3.218'}
{'loss': '0.2501', 'grad_norm': '4.595', 'learning_rate': '4.311e-06', 'epoch': '3.224'}
{'loss': '0.2657', 'grad_norm': '5.29', 'learning_rate': '4.275e-06', 'epoch': '3.231'}
{'loss': '0.2422', 'grad_norm': '1.912', 'learning_rate': '4.239e-06', 'epoch': '3.237'}
{'loss': '0.2478', 'grad_norm': '2.928', 'learning_rate': '4.203e-06', 'epoch': '3.243'}
{'loss': '0.2542', 'grad_norm': '4.825', 'learning_rate': '4.167e-06', 'epoch': '3.25'}
{'loss': '0.2519', 'grad_norm': '3.828', 'learning_rate': '4.131e-06', 'epoch': '3.256'}
{'loss': '0.2543', 'grad_norm': '2.029', 'learning_rate': '4.095e-06', 'epoch': '3.263'}
{'loss': '0.2525', 'grad_norm': '3.603', 'learning_rate': '4.059e-06', 'epoch': '3.269'}
{'loss': '0.2518', 'grad_norm': '2.854', 'learning_rate': '4.023e-06', 'epoch': '3.276'}
{'loss': '0.2536', 'grad_norm': '2.543', 'learning_rate': '3.987e-06', 'epoch': '3.282'}
{'loss': '0.253', 'grad_norm': '1.443', 'learning_rate': '3.951e-06', 'epoch': '3.289'}
{'loss': '0.27', 'grad_norm': '3.106', 'learning_rate': '3.916e-06', 'epoch': '3.295'}
{'loss': '0.2439', 'grad_norm': '2.519', 'learning_rate': '3.88e-06', 'epoch': '3.302'}
2026-03-03 17:02:00 - TripletEvaluator: Evaluating the model on the dev-768 dataset in epoch 3.3017237193493565 after 102000 steps (truncated to 768):
2026-03-03 17:24:36 - Accuracy Cosine Similarity:	98.45%
2026-03-03 17:24:36 - TripletEvaluator: Evaluating the model on the dev-512 dataset in epoch 3.3017237193493565 after 102000 steps (truncated to 512):
2026-03-03 17:47:01 - Accuracy Cosine Similarity:	98.46%
2026-03-03 17:47:01 - TripletEvaluator: Evaluating the model on the dev-256 dataset in epoch 3.3017237193493565 after 102000 steps (truncated to 256):
2026-03-03 18:09:20 - Accuracy Cosine Similarity:	98.48%
2026-03-03 18:09:20 - TripletEvaluator: Evaluating the model on the dev-128 dataset in epoch 3.3017237193493565 after 102000 steps (truncated to 128):
2026-03-03 18:31:48 - Accuracy Cosine Similarity:	98.46%
2026-03-03 18:31:48 - TripletEvaluator: Evaluating the model on the dev-64 dataset in epoch 3.3017237193493565 after 102000 steps (truncated to 64):
2026-03-03 18:53:45 - Accuracy Cosine Similarity:	98.36%
{'eval_train_loss': '0.2297', 'eval_dev-768_cosine_accuracy': '0.9845', 'eval_dev-512_cosine_accuracy': '0.9846', 'eval_dev-256_cosine_accuracy': '0.9848', 'eval_dev-128_cosine_accuracy': '0.9846', 'eval_dev-64_cosine_accuracy': '0.9836', 'eval_sequential_score': '0.9845', 'eval_train_runtime': '9774', 'eval_train_samples_per_second': '115.6', 'eval_train_steps_per_second': '14.45', 'epoch': '3.302'}
2026-03-03 18:53:45 - Saving model checkpoint to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-102000
2026-03-03 18:53:45 - Save model to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-102000
{'loss': '0.2592', 'grad_norm': '3.317', 'learning_rate': '3.844e-06', 'epoch': '3.308'}
{'loss': '0.2542', 'grad_norm': '1.975', 'learning_rate': '3.808e-06', 'epoch': '3.315'}
{'loss': '0.2641', 'grad_norm': '4.947', 'learning_rate': '3.772e-06', 'epoch': '3.321'}
{'loss': '0.2435', 'grad_norm': '2.649', 'learning_rate': '3.736e-06', 'epoch': '3.328'}
{'loss': '0.251', 'grad_norm': '3.429', 'learning_rate': '3.7e-06', 'epoch': '3.334'}
{'loss': '0.2481', 'grad_norm': '2.566', 'learning_rate': '3.664e-06', 'epoch': '3.341'}
{'loss': '0.2628', 'grad_norm': '2.595', 'learning_rate': '3.628e-06', 'epoch': '3.347'}
{'loss': '0.248', 'grad_norm': '2.943', 'learning_rate': '3.592e-06', 'epoch': '3.354'}
2026-03-04 15:01:24 - Load pretrained SentenceTransformer: bert-base-arabertv02
2026-03-04 15:01:34 - '[Errno -2] Name or service not known' thrown while requesting HEAD https://huggingface.co/bert-base-arabertv02/resolve/main/./modules.json
2026-03-04 15:01:34 - Retrying in 1s [Retry 1/5].
2026-03-04 15:01:35 - No sentence-transformers model found with name bert-base-arabertv02. Creating a new one with mean pooling.
2026-03-04 15:03:06 - Use pytorch device_name: cuda:0
2026-03-04 15:03:06 - Load pretrained SentenceTransformer: /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-102000
{'loss': '0.2592', 'grad_norm': '3.323', 'learning_rate': '3.844e-06', 'epoch': '3.308'}
{'loss': '0.2543', 'grad_norm': '1.973', 'learning_rate': '3.808e-06', 'epoch': '3.315'}
{'loss': '0.2641', 'grad_norm': '4.95', 'learning_rate': '3.772e-06', 'epoch': '3.321'}
{'loss': '0.2435', 'grad_norm': '2.661', 'learning_rate': '3.736e-06', 'epoch': '3.328'}
{'loss': '0.251', 'grad_norm': '3.434', 'learning_rate': '3.7e-06', 'epoch': '3.334'}
{'loss': '0.2481', 'grad_norm': '2.562', 'learning_rate': '3.664e-06', 'epoch': '3.341'}
{'loss': '0.2627', 'grad_norm': '2.6', 'learning_rate': '3.628e-06', 'epoch': '3.347'}
{'loss': '0.248', 'grad_norm': '2.941', 'learning_rate': '3.592e-06', 'epoch': '3.354'}
{'loss': '0.2636', 'grad_norm': '2.153', 'learning_rate': '3.556e-06', 'epoch': '3.36'}
{'loss': '0.2619', 'grad_norm': '2.729', 'learning_rate': '3.52e-06', 'epoch': '3.366'}
{'loss': '0.2423', 'grad_norm': '2.413', 'learning_rate': '3.484e-06', 'epoch': '3.373'}
{'loss': '0.2505', 'grad_norm': '4.396', 'learning_rate': '3.448e-06', 'epoch': '3.379'}
{'loss': '0.2604', 'grad_norm': '3.629', 'learning_rate': '3.412e-06', 'epoch': '3.386'}
{'loss': '0.246', 'grad_norm': '5.426', 'learning_rate': '3.376e-06', 'epoch': '3.392'}
{'loss': '0.244', 'grad_norm': '1.848', 'learning_rate': '3.34e-06', 'epoch': '3.399'}
{'loss': '0.2641', 'grad_norm': '5.125', 'learning_rate': '3.304e-06', 'epoch': '3.405'}
{'loss': '0.2573', 'grad_norm': '3.377', 'learning_rate': '3.268e-06', 'epoch': '3.412'}
{'loss': '0.2613', 'grad_norm': '2.842', 'learning_rate': '3.232e-06', 'epoch': '3.418'}
{'loss': '0.2746', 'grad_norm': '3.197', 'learning_rate': '3.196e-06', 'epoch': '3.425'}
{'loss': '0.2578', 'grad_norm': '2.158', 'learning_rate': '3.16e-06', 'epoch': '3.431'}
{'loss': '0.2445', 'grad_norm': '2.634', 'learning_rate': '3.124e-06', 'epoch': '3.438'}
{'loss': '0.253', 'grad_norm': '2.139', 'learning_rate': '3.088e-06', 'epoch': '3.444'}
{'loss': '0.2644', 'grad_norm': '3.682', 'learning_rate': '3.052e-06', 'epoch': '3.451'}
{'loss': '0.2656', 'grad_norm': '4.607', 'learning_rate': '3.016e-06', 'epoch': '3.457'}
{'loss': '0.252', 'grad_norm': '2.139', 'learning_rate': '2.98e-06', 'epoch': '3.464'}
{'loss': '0.2527', 'grad_norm': '2.422', 'learning_rate': '2.944e-06', 'epoch': '3.47'}
{'loss': '0.2534', 'grad_norm': '3.598', 'learning_rate': '2.908e-06', 'epoch': '3.477'}
{'loss': '0.253', 'grad_norm': '1.388', 'learning_rate': '2.872e-06', 'epoch': '3.483'}
{'loss': '0.2614', 'grad_norm': '3.057', 'learning_rate': '2.837e-06', 'epoch': '3.489'}
{'loss': '0.2517', 'grad_norm': '2.296', 'learning_rate': '2.801e-06', 'epoch': '3.496'}
2026-03-04 16:57:03 - TripletEvaluator: Evaluating the model on the dev-768 dataset in epoch 3.4959456178684145 after 108000 steps (truncated to 768):
2026-03-04 17:20:27 - Accuracy Cosine Similarity:	98.49%
2026-03-04 17:20:27 - TripletEvaluator: Evaluating the model on the dev-512 dataset in epoch 3.4959456178684145 after 108000 steps (truncated to 512):
2026-03-04 17:42:09 - Accuracy Cosine Similarity:	98.49%
2026-03-04 17:42:09 - TripletEvaluator: Evaluating the model on the dev-256 dataset in epoch 3.4959456178684145 after 108000 steps (truncated to 256):
2026-03-04 18:03:04 - Accuracy Cosine Similarity:	98.51%
2026-03-04 18:03:04 - TripletEvaluator: Evaluating the model on the dev-128 dataset in epoch 3.4959456178684145 after 108000 steps (truncated to 128):
2026-03-04 18:23:36 - Accuracy Cosine Similarity:	98.49%
2026-03-04 18:23:36 - TripletEvaluator: Evaluating the model on the dev-64 dataset in epoch 3.4959456178684145 after 108000 steps (truncated to 64):
2026-03-04 18:44:21 - Accuracy Cosine Similarity:	98.41%
{'eval_train_loss': '0.2252', 'eval_dev-768_cosine_accuracy': '0.9849', 'eval_dev-512_cosine_accuracy': '0.9849', 'eval_dev-256_cosine_accuracy': '0.9851', 'eval_dev-128_cosine_accuracy': '0.9849', 'eval_dev-64_cosine_accuracy': '0.9841', 'eval_sequential_score': '0.9849', 'eval_train_runtime': '9737', 'eval_train_samples_per_second': '116', 'eval_train_steps_per_second': '14.5', 'epoch': '3.496'}
2026-03-04 18:44:21 - Saving model checkpoint to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-108000
2026-03-04 18:44:21 - Save model to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-108000
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{'loss': '0.279', 'grad_norm': '3.647', 'learning_rate': '2.225e-06', 'epoch': '3.6'}
{'loss': '0.2681', 'grad_norm': '5.511', 'learning_rate': '2.189e-06', 'epoch': '3.606'}
{'loss': '0.2654', 'grad_norm': '1.217', 'learning_rate': '2.153e-06', 'epoch': '3.612'}
{'loss': '0.264', 'grad_norm': '4.641', 'learning_rate': '2.117e-06', 'epoch': '3.619'}
{'loss': '0.2774', 'grad_norm': '3.571', 'learning_rate': '2.081e-06', 'epoch': '3.625'}
{'loss': '0.2568', 'grad_norm': '3.808', 'learning_rate': '2.045e-06', 'epoch': '3.632'}
{'loss': '0.2665', 'grad_norm': '3.178', 'learning_rate': '2.009e-06', 'epoch': '3.638'}
{'loss': '0.2532', 'grad_norm': '1.566', 'learning_rate': '1.973e-06', 'epoch': '3.645'}
{'loss': '0.2613', 'grad_norm': '3.262', 'learning_rate': '1.937e-06', 'epoch': '3.651'}
{'loss': '0.2413', 'grad_norm': '4.082', 'learning_rate': '1.901e-06', 'epoch': '3.658'}
{'loss': '0.2788', 'grad_norm': '4.851', 'learning_rate': '1.865e-06', 'epoch': '3.664'}
{'loss': '0.2586', 'grad_norm': '5.756', 'learning_rate': '1.829e-06', 'epoch': '3.671'}
{'loss': '0.2602', 'grad_norm': '5.288', 'learning_rate': '1.793e-06', 'epoch': '3.677'}
{'loss': '0.2708', 'grad_norm': '3.492', 'learning_rate': '1.758e-06', 'epoch': '3.684'}
{'loss': '0.2556', 'grad_norm': '2.688', 'learning_rate': '1.722e-06', 'epoch': '3.69'}
2026-03-04 20:34:25 - TripletEvaluator: Evaluating the model on the dev-768 dataset in epoch 3.6901675163874725 after 114000 steps (truncated to 768):
2026-03-04 20:55:09 - Accuracy Cosine Similarity:	98.51%
2026-03-04 20:55:09 - TripletEvaluator: Evaluating the model on the dev-512 dataset in epoch 3.6901675163874725 after 114000 steps (truncated to 512):
2026-03-04 21:15:51 - Accuracy Cosine Similarity:	98.52%
2026-03-04 21:15:51 - TripletEvaluator: Evaluating the model on the dev-256 dataset in epoch 3.6901675163874725 after 114000 steps (truncated to 256):
2026-03-04 21:36:36 - Accuracy Cosine Similarity:	98.54%
2026-03-04 21:36:36 - TripletEvaluator: Evaluating the model on the dev-128 dataset in epoch 3.6901675163874725 after 114000 steps (truncated to 128):
2026-03-04 21:57:23 - Accuracy Cosine Similarity:	98.53%
2026-03-04 21:57:23 - TripletEvaluator: Evaluating the model on the dev-64 dataset in epoch 3.6901675163874725 after 114000 steps (truncated to 64):
2026-03-04 22:18:08 - Accuracy Cosine Similarity:	98.44%
{'eval_train_loss': '0.2188', 'eval_dev-768_cosine_accuracy': '0.9851', 'eval_dev-512_cosine_accuracy': '0.9852', 'eval_dev-256_cosine_accuracy': '0.9854', 'eval_dev-128_cosine_accuracy': '0.9853', 'eval_dev-64_cosine_accuracy': '0.9844', 'eval_sequential_score': '0.9851', 'eval_train_runtime': '9310', 'eval_train_samples_per_second': '121.3', 'eval_train_steps_per_second': '15.17', 'epoch': '3.69'}
2026-03-04 22:18:08 - Saving model checkpoint to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-114000
2026-03-04 22:18:08 - Save model to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-114000
{'loss': '0.2576', 'grad_norm': '2.428', 'learning_rate': '1.686e-06', 'epoch': '3.697'}
{'loss': '0.2713', 'grad_norm': '2.93', 'learning_rate': '1.65e-06', 'epoch': '3.703'}
{'loss': '0.2748', 'grad_norm': '3.659', 'learning_rate': '1.614e-06', 'epoch': '3.71'}
{'loss': '0.2542', 'grad_norm': '3.45', 'learning_rate': '1.578e-06', 'epoch': '3.716'}
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{'loss': '0.2751', 'grad_norm': '1.834', 'learning_rate': '1.506e-06', 'epoch': '3.729'}
{'loss': '0.2534', 'grad_norm': '4.17', 'learning_rate': '1.47e-06', 'epoch': '3.735'}
{'loss': '0.2577', 'grad_norm': '3.893', 'learning_rate': '1.434e-06', 'epoch': '3.742'}
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{'loss': '0.2725', 'grad_norm': '3.462', 'learning_rate': '1.29e-06', 'epoch': '3.768'}
{'loss': '0.2587', 'grad_norm': '1.857', 'learning_rate': '1.254e-06', 'epoch': '3.774'}
{'loss': '0.2623', 'grad_norm': '2.164', 'learning_rate': '1.218e-06', 'epoch': '3.781'}
{'loss': '0.2659', 'grad_norm': '2.674', 'learning_rate': '1.182e-06', 'epoch': '3.787'}
{'loss': '0.2735', 'grad_norm': '1.56', 'learning_rate': '1.146e-06', 'epoch': '3.794'}
{'loss': '0.2847', 'grad_norm': '4.402', 'learning_rate': '1.11e-06', 'epoch': '3.8'}
{'loss': '0.2636', 'grad_norm': '5.62', 'learning_rate': '1.074e-06', 'epoch': '3.807'}
{'loss': '0.2777', 'grad_norm': '4.51', 'learning_rate': '1.038e-06', 'epoch': '3.813'}
{'loss': '0.2751', 'grad_norm': '3.339', 'learning_rate': '1.002e-06', 'epoch': '3.82'}
{'loss': '0.2609', 'grad_norm': '3.817', 'learning_rate': '9.662e-07', 'epoch': '3.826'}
{'loss': '0.2684', 'grad_norm': '4.592', 'learning_rate': '9.303e-07', 'epoch': '3.833'}
{'loss': '0.2772', 'grad_norm': '2.499', 'learning_rate': '8.943e-07', 'epoch': '3.839'}
{'loss': '0.2684', 'grad_norm': '4.28', 'learning_rate': '8.583e-07', 'epoch': '3.846'}
{'loss': '0.2682', 'grad_norm': '3.179', 'learning_rate': '8.224e-07', 'epoch': '3.852'}
{'loss': '0.2784', 'grad_norm': '5.42', 'learning_rate': '7.864e-07', 'epoch': '3.858'}
{'loss': '0.2735', 'grad_norm': '2.668', 'learning_rate': '7.504e-07', 'epoch': '3.865'}
{'loss': '0.2848', 'grad_norm': '4.855', 'learning_rate': '7.145e-07', 'epoch': '3.871'}
{'loss': '0.2638', 'grad_norm': '2.601', 'learning_rate': '6.785e-07', 'epoch': '3.878'}
{'loss': '0.2711', 'grad_norm': '4.021', 'learning_rate': '6.425e-07', 'epoch': '3.884'}
2026-03-05 00:09:04 - TripletEvaluator: Evaluating the model on the dev-768 dataset in epoch 3.8843894149065306 after 120000 steps (truncated to 768):
2026-03-05 00:30:13 - Accuracy Cosine Similarity:	98.54%
2026-03-05 00:30:13 - TripletEvaluator: Evaluating the model on the dev-512 dataset in epoch 3.8843894149065306 after 120000 steps (truncated to 512):
2026-03-05 00:51:03 - Accuracy Cosine Similarity:	98.55%
2026-03-05 00:51:03 - TripletEvaluator: Evaluating the model on the dev-256 dataset in epoch 3.8843894149065306 after 120000 steps (truncated to 256):
2026-03-05 01:11:59 - Accuracy Cosine Similarity:	98.56%
2026-03-05 01:11:59 - TripletEvaluator: Evaluating the model on the dev-128 dataset in epoch 3.8843894149065306 after 120000 steps (truncated to 128):
2026-03-05 01:32:50 - Accuracy Cosine Similarity:	98.55%
2026-03-05 01:32:50 - TripletEvaluator: Evaluating the model on the dev-64 dataset in epoch 3.8843894149065306 after 120000 steps (truncated to 64):
2026-03-05 01:53:42 - Accuracy Cosine Similarity:	98.46%
{'eval_train_loss': '0.2171', 'eval_dev-768_cosine_accuracy': '0.9854', 'eval_dev-512_cosine_accuracy': '0.9855', 'eval_dev-256_cosine_accuracy': '0.9856', 'eval_dev-128_cosine_accuracy': '0.9855', 'eval_dev-64_cosine_accuracy': '0.9846', 'eval_sequential_score': '0.9854', 'eval_train_runtime': '9383', 'eval_train_samples_per_second': '120.4', 'eval_train_steps_per_second': '15.05', 'epoch': '3.884'}
2026-03-05 01:53:42 - Saving model checkpoint to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-120000
2026-03-05 01:53:42 - Save model to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-120000
{'loss': '0.2825', 'grad_norm': '2.434', 'learning_rate': '6.066e-07', 'epoch': '3.891'}
{'loss': '0.2724', 'grad_norm': '3.687', 'learning_rate': '5.706e-07', 'epoch': '3.897'}
{'loss': '0.3078', 'grad_norm': '5.537', 'learning_rate': '5.346e-07', 'epoch': '3.904'}
{'loss': '0.2806', 'grad_norm': '3.519', 'learning_rate': '4.987e-07', 'epoch': '3.91'}
{'loss': '0.2631', 'grad_norm': '3.982', 'learning_rate': '4.627e-07', 'epoch': '3.917'}
{'loss': '0.2892', 'grad_norm': '3.621', 'learning_rate': '4.267e-07', 'epoch': '3.923'}
{'loss': '0.2791', 'grad_norm': '4.467', 'learning_rate': '3.908e-07', 'epoch': '3.93'}
{'loss': '0.2874', 'grad_norm': '4.958', 'learning_rate': '3.548e-07', 'epoch': '3.936'}
{'loss': '0.2602', 'grad_norm': '3.852', 'learning_rate': '3.188e-07', 'epoch': '3.943'}
{'loss': '0.2988', 'grad_norm': '2.639', 'learning_rate': '2.829e-07', 'epoch': '3.949'}
{'loss': '0.2935', 'grad_norm': '1.878', 'learning_rate': '2.469e-07', 'epoch': '3.956'}
{'loss': '0.2999', 'grad_norm': '3.6', 'learning_rate': '2.109e-07', 'epoch': '3.962'}
{'loss': '0.293', 'grad_norm': '2.28', 'learning_rate': '1.75e-07', 'epoch': '3.969'}
{'loss': '0.2784', 'grad_norm': '4.347', 'learning_rate': '1.39e-07', 'epoch': '3.975'}
{'loss': '0.3013', 'grad_norm': '5.014', 'learning_rate': '1.03e-07', 'epoch': '3.982'}
{'loss': '0.2919', 'grad_norm': '2.171', 'learning_rate': '6.708e-08', 'epoch': '3.988'}
{'loss': '0.3011', 'grad_norm': '5.241', 'learning_rate': '3.111e-08', 'epoch': '3.994'}
2026-03-05 02:28:54 - Saving model checkpoint to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-123572
2026-03-05 02:28:54 - Save model to /home/skiredj.abderrahman/khalil/sbert_training/output/arabert_20260224_1730/checkpoint-123572
{'train_runtime': '4.115e+04', 'train_samples_per_second': '384.4', 'train_steps_per_second': '3.003', 'train_loss': '0.04643', 'epoch': '4'}
2026-03-05 02:28:56 - Save model to /home/skiredj.abderrahman/khalil/sbert_training/output/final_epoch4
model saved successfully
2026-03-05 02:28:56 - TripletEvaluator: Evaluating the model on the test-768 dataset (truncated to 768):
2026-03-05 02:47:53 - Accuracy Cosine Similarity:	98.54%
2026-03-05 02:47:53 - TripletEvaluator: Evaluating the model on the test-512 dataset (truncated to 512):
2026-03-05 03:06:39 - Accuracy Cosine Similarity:	98.56%
2026-03-05 03:06:39 - TripletEvaluator: Evaluating the model on the test-256 dataset (truncated to 256):
2026-03-05 03:25:22 - Accuracy Cosine Similarity:	98.57%
2026-03-05 03:25:22 - TripletEvaluator: Evaluating the model on the test-128 dataset (truncated to 128):
2026-03-05 03:44:01 - Accuracy Cosine Similarity:	98.55%
2026-03-05 03:44:01 - TripletEvaluator: Evaluating the model on the test-64 dataset (truncated to 64):
2026-03-05 04:02:46 - Accuracy Cosine Similarity:	98.46%