Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/bert_uncased_L-4_H-512_A-8
+tags:
+- generated_from_trainer
+metrics:
+- matthews_correlation
+- accuracy
+model-index:
+- name: bert_uncased_L-4_H-512_A-8_cola
+  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-512_A-8_cola
+
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7861
+- Matthews Correlation: 0.3320
+- Accuracy: 0.7383
+
+## 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 | Matthews Correlation | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
+| 0.6069        | 1.0   | 34   | 0.6018          | 0.0                  | 0.6913   |
+| 0.5619        | 2.0   | 68   | 0.5891          | 0.1766               | 0.7076   |
+| 0.4858        | 3.0   | 102  | 0.5796          | 0.2588               | 0.7248   |
+| 0.4109        | 4.0   | 136  | 0.6467          | 0.2838               | 0.7306   |
+| 0.349         | 5.0   | 170  | 0.6379          | 0.3133               | 0.7354   |
+| 0.294         | 6.0   | 204  | 0.6805          | 0.3436               | 0.7440   |
+| 0.2564        | 7.0   | 238  | 0.7498          | 0.3178               | 0.7363   |
+| 0.2222        | 8.0   | 272  | 0.7861          | 0.3320               | 0.7383   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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