Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/bert_uncased_L-2_H-256_A-4
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert_uncased_L-2_H-256_A-4_mrpc
+  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-2_H-256_A-4_mrpc
+
+This model is a fine-tuned version of [google/bert_uncased_L-2_H-256_A-4](https://huggingface.co/google/bert_uncased_L-2_H-256_A-4) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5943
+- Accuracy: 0.75
+- F1: 0.8317
+- Combined Score: 0.7908
+
+## 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 | F1     | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.619         | 1.0   | 15   | 0.5956          | 0.6887   | 0.8146 | 0.7517         |
+| 0.5893        | 2.0   | 30   | 0.5835          | 0.7010   | 0.8179 | 0.7594         |
+| 0.5612        | 3.0   | 45   | 0.5597          | 0.7059   | 0.8171 | 0.7615         |
+| 0.5397        | 4.0   | 60   | 0.5398          | 0.7377   | 0.8320 | 0.7849         |
+| 0.5063        | 5.0   | 75   | 0.5358          | 0.7426   | 0.8336 | 0.7881         |
+| 0.476         | 6.0   | 90   | 0.5344          | 0.7475   | 0.8357 | 0.7916         |
+| 0.4361        | 7.0   | 105  | 0.5515          | 0.7451   | 0.8349 | 0.7900         |
+| 0.4014        | 8.0   | 120  | 0.5508          | 0.75     | 0.8365 | 0.7933         |
+| 0.3684        | 9.0   | 135  | 0.5901          | 0.7304   | 0.8254 | 0.7779         |
+| 0.3396        | 10.0  | 150  | 0.5755          | 0.7426   | 0.8276 | 0.7851         |
+| 0.3061        | 11.0  | 165  | 0.5943          | 0.75     | 0.8317 | 0.7908         |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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