Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_tiny_lda_100_v1_book
+tags:
+- generated_from_trainer
+metrics:
+- matthews_correlation
+- accuracy
+model-index:
+- name: bert_tiny_lda_100_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_tiny_lda_100_v1_book_cola
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1_book) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7395
+- Matthews Correlation: 0.2701
+- Accuracy: 0.7152
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
+| 0.6112        | 1.0   | 34   | 0.6112          | 0.0                  | 0.6913   |
+| 0.5906        | 2.0   | 68   | 0.5992          | 0.0844               | 0.6951   |
+| 0.5465        | 3.0   | 102  | 0.5875          | 0.1996               | 0.6932   |
+| 0.4903        | 4.0   | 136  | 0.5887          | 0.1992               | 0.6913   |
+| 0.4275        | 5.0   | 170  | 0.6417          | 0.2174               | 0.7095   |
+| 0.3786        | 6.0   | 204  | 0.6495          | 0.2711               | 0.7210   |
+| 0.3295        | 7.0   | 238  | 0.6801          | 0.2401               | 0.7028   |
+| 0.2891        | 8.0   | 272  | 0.7395          | 0.2701               | 0.7152   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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