End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: tuned_test_trainer-bert-base-uncased
+  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. -->
+
+# tuned_test_trainer-bert-base-uncased
+
+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: 0.6178
+- Rmse: 0.7287
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rmse   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.7033        | 1.0   | 500  | 0.6323          | 0.6645 |
+| 0.5289        | 2.0   | 1000 | 0.6178          | 0.7287 |
+| 0.333         | 3.0   | 1500 | 0.7281          | 0.6512 |
+| 0.2234        | 4.0   | 2000 | 1.0422          | 0.6663 |
+| 0.1501        | 5.0   | 2500 | 1.2281          | 0.6914 |
+| 0.0929        | 6.0   | 3000 | 1.5626          | 0.7082 |
+| 0.0643        | 7.0   | 3500 | 1.6458          | 0.6950 |
+| 0.0386        | 8.0   | 4000 | 1.8954          | 0.6863 |
+| 0.0262        | 9.0   | 4500 | 1.9457          | 0.6925 |
+| 0.0185        | 10.0  | 5000 | 1.9945          | 0.6793 |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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