emre159/EEE486_MRPC_BEST

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-mrpc-best
+  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. -->
+
+# bert-mrpc-best
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4765
+- Accuracy: 0.8088
+
+## 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: 1.0302066598519386e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5754        | 1.0   | 230  | 0.5395          | 0.7353   |
+| 0.5202        | 2.0   | 460  | 0.5240          | 0.7598   |
+| 0.4368        | 3.0   | 690  | 0.4728          | 0.8015   |
+| 0.3902        | 4.0   | 920  | 0.4765          | 0.8088   |
+| 0.3593        | 5.0   | 1150 | 0.6118          | 0.7770   |
+| 0.3233        | 6.0   | 1380 | 0.5552          | 0.7917   |
+| 0.2687        | 7.0   | 1610 | 0.5440          | 0.8039   |
+
+
+### Framework versions
+
+- Transformers 4.57.2
+- Pytorch 2.9.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

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