Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/distilbert_lda_100_v1_book
+tags:
+- generated_from_trainer
+metrics:
+- matthews_correlation
+- accuracy
+model-index:
+- name: distilbert_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. -->
+
+# distilbert_lda_100_v1_book_cola
+
+This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_100_v1_book](https://huggingface.co/gokulsrinivasagan/distilbert_lda_100_v1_book) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7496
+- Matthews Correlation: 0.3430
+- Accuracy: 0.7373
+
+## 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 OptimizerNames.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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
+| 0.6088        | 1.0   | 34   | 0.6095          | 0.0                  | 0.6913   |
+| 0.5811        | 2.0   | 68   | 0.5894          | 0.1806               | 0.7009   |
+| 0.4993        | 3.0   | 102  | 0.5656          | 0.2542               | 0.7181   |
+| 0.4235        | 4.0   | 136  | 0.6414          | 0.2643               | 0.7267   |
+| 0.335         | 5.0   | 170  | 0.6178          | 0.3053               | 0.7277   |
+| 0.2571        | 6.0   | 204  | 0.6787          | 0.3185               | 0.7335   |
+| 0.1982        | 7.0   | 238  | 0.7716          | 0.3333               | 0.7430   |
+| 0.174         | 8.0   | 272  | 0.7496          | 0.3430               | 0.7373   |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.2.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.1

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