Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/bert_uncased_L-4_H-256_A-4
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert_uncased_L-4_H-256_A-4_rte
+  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_uncased_L-4_H-256_A-4_rte
+
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7181
+- Accuracy: 0.6426
+
+## 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: 256
+- eval_batch_size: 256
+- seed: 10
+- optimizer: Use 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: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6982        | 1.0   | 10   | 0.6899          | 0.5451   |
+| 0.6864        | 2.0   | 20   | 0.6845          | 0.5523   |
+| 0.6733        | 3.0   | 30   | 0.6737          | 0.5884   |
+| 0.6495        | 4.0   | 40   | 0.6554          | 0.5884   |
+| 0.61          | 5.0   | 50   | 0.6573          | 0.6101   |
+| 0.5697        | 6.0   | 60   | 0.6545          | 0.6318   |
+| 0.5279        | 7.0   | 70   | 0.6648          | 0.6354   |
+| 0.4859        | 8.0   | 80   | 0.6778          | 0.6173   |
+| 0.4524        | 9.0   | 90   | 0.6933          | 0.6137   |
+| 0.4126        | 10.0  | 100  | 0.6992          | 0.6245   |
+| 0.386         | 11.0  | 110  | 0.7181          | 0.6426   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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