Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_base_lda_20_v1_book
+tags:
+- generated_from_trainer
+metrics:
+- matthews_correlation
+- accuracy
+model-index:
+- name: bert_base_lda_20_v1_book_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_base_lda_20_v1_book_cola
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1_book](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1_book) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6481
+- Matthews Correlation: 0.5021
+- Accuracy: 0.7987
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
+| 0.6052        | 1.0   | 34   | 0.5939          | 0.0                  | 0.6913   |
+| 0.5337        | 2.0   | 68   | 0.5132          | 0.3639               | 0.7546   |
+| 0.4113        | 3.0   | 102  | 0.4867          | 0.4743               | 0.7891   |
+| 0.2988        | 4.0   | 136  | 0.5833          | 0.4456               | 0.7804   |
+| 0.232         | 5.0   | 170  | 0.5778          | 0.4906               | 0.7958   |
+| 0.1741        | 6.0   | 204  | 0.5924          | 0.5184               | 0.8063   |
+| 0.1299        | 7.0   | 238  | 0.7206          | 0.5049               | 0.8015   |
+| 0.1075        | 8.0   | 272  | 0.6481          | 0.5021               | 0.7987   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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