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:
+- accuracy
+- f1
+model-index:
+- name: bert_tiny_lda_100_v1_book_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_tiny_lda_100_v1_book_mrpc
+
+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: 0.7805
+- Accuracy: 0.7574
+- F1: 0.8308
+- Combined Score: 0.7941
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.62          | 1.0   | 15   | 0.5966          | 0.6740   | 0.7892 | 0.7316         |
+| 0.5856        | 2.0   | 30   | 0.5702          | 0.7010   | 0.8129 | 0.7569         |
+| 0.5467        | 3.0   | 45   | 0.5471          | 0.7279   | 0.8195 | 0.7737         |
+| 0.4866        | 4.0   | 60   | 0.5721          | 0.7426   | 0.8331 | 0.7879         |
+| 0.4174        | 5.0   | 75   | 0.5396          | 0.7475   | 0.8303 | 0.7889         |
+| 0.3418        | 6.0   | 90   | 0.5986          | 0.75     | 0.8211 | 0.7855         |
+| 0.2528        | 7.0   | 105  | 0.6746          | 0.6985   | 0.7593 | 0.7289         |
+| 0.1784        | 8.0   | 120  | 0.6922          | 0.7304   | 0.7925 | 0.7614         |
+| 0.1522        | 9.0   | 135  | 0.7651          | 0.7574   | 0.8395 | 0.7984         |
+| 0.1123        | 10.0  | 150  | 0.7805          | 0.7574   | 0.8308 | 0.7941         |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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