End of training

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-base-uncased-finetuned-rte-run_8_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-base-uncased-finetuned-rte-run_8_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: 1.8053
+- Accuracy: 0.7148
+
+## 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: 6.387670620549943e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 20   | 0.6560          | 0.6101   |
+| No log        | 2.0   | 40   | 0.6588          | 0.6679   |
+| No log        | 3.0   | 60   | 0.7921          | 0.6823   |
+| No log        | 4.0   | 80   | 0.9483          | 0.6968   |
+| No log        | 5.0   | 100  | 1.1947          | 0.6787   |
+| No log        | 6.0   | 120  | 1.3353          | 0.7040   |
+| No log        | 7.0   | 140  | 1.4512          | 0.6751   |
+| No log        | 8.0   | 160  | 1.4935          | 0.6787   |
+| No log        | 9.0   | 180  | 1.6698          | 0.6751   |
+| No log        | 10.0  | 200  | 1.6720          | 0.7004   |
+| No log        | 11.0  | 220  | 1.8153          | 0.6823   |
+| No log        | 12.0  | 240  | 1.7160          | 0.6968   |
+| No log        | 13.0  | 260  | 1.7799          | 0.7040   |
+| No log        | 14.0  | 280  | 1.7982          | 0.7112   |
+| No log        | 15.0  | 300  | 1.8053          | 0.7148   |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

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