End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: onlplab/alephbert-base
+tags:
+- generated_from_trainer
+model-index:
+- name: alephbert-base-finetuned-DSS-maskedLM
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# alephbert-base-finetuned-DSS-maskedLM
+
+This model is a fine-tuned version of [onlplab/alephbert-base](https://huggingface.co/onlplab/alephbert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.2593
+
+## 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: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 41   | 4.6030          |
+| No log        | 2.0   | 82   | 4.4223          |
+| 4.6114        | 3.0   | 123  | 4.3730          |
+| 4.6114        | 4.0   | 164  | 4.3006          |
+| 4.3175        | 5.0   | 205  | 4.3046          |
+| 4.3175        | 6.0   | 246  | 4.2191          |
+| 4.3175        | 7.0   | 287  | 4.3107          |
+| 4.1903        | 8.0   | 328  | 4.2090          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.44.2"
+}