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_7
+  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_7
+
+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: 1.0127
+- Accuracy: 0.6968
+
+## 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: 6.733e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 39   | 0.6409          | 0.6354   |
+| No log        | 2.0   | 78   | 0.6347          | 0.6787   |
+| No log        | 3.0   | 117  | 0.8787          | 0.6715   |
+| No log        | 4.0   | 156  | 1.0127          | 0.6968   |
+| No log        | 5.0   | 195  | 1.4093          | 0.6498   |
+| No log        | 6.0   | 234  | 1.4822          | 0.6823   |
+| No log        | 7.0   | 273  | 1.6393          | 0.6570   |
+| No log        | 8.0   | 312  | 1.7476          | 0.6498   |
+| No log        | 9.0   | 351  | 1.7668          | 0.6606   |
+| No log        | 10.0  | 390  | 1.7937          | 0.6679   |
+
+
+### Framework versions
+
+- Transformers 4.50.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

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